mirror of
https://github.com/Zie619/n8n-workflows.git
synced 2026-11-03 04:41:30 +08:00
dopeuni444
74bdcdcad6
Introduced workflow_fixer.py and workflow_fix_report.json for workflow management and fixing. Updated a large number of workflow JSON files across various integrations to improve automation, scheduling, and trigger handling. Also made minor changes to final_excellence_upgrader.py.
740 lines
24 KiB
JSON
740 lines
24 KiB
JSON
{
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"id": "Zrd98BnbmN1Px9an",
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"meta": {
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"instanceId": "workflow-instance",
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"versionId": "1.0.0",
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"createdAt": "2024-01-01T00:00:00.000Z",
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"updatedAt": "2024-01-01T00:00:00.000Z"
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},
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"name": "Youtube Searcher",
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"tags": [
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"automation",
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"n8n"
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],
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"nodes": [
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{
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"id": "5cb8757a-d8f0-49fa-803d-7f04b514f9f8",
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"name": "Loop Over Items",
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"type": "n8n-nodes-base.splitInBatches",
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"position": [
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80,
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220
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],
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"parameters": {
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"options": {}
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},
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"typeVersion": 3
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},
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{
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"id": "28964bd5-dc53-4dfa-bbb1-4eb80b952063",
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"name": "find_video_data1",
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"type": "n8n-nodes-base.httpRequest",
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"position": [
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1440,
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320
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],
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"parameters": {
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"url": "{{ $env.API_BASE_URL }}",
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"options": {},
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"sendQuery": true,
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"queryParameters": {
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"parameters": [
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{
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"name": "key",
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"value": "={{ $env[\"GOOGLE_API_KEY\"] }}"
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},
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{
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"name": "id",
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"value": "={{ $json.id.videoId }}"
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},
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{
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"name": "part",
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"value": "contentDetails, statistics"
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}
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]
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}
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},
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"typeVersion": 4.2
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},
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{
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"id": "5e8b9441-4b91-4460-a9ac-4a0a02aa57ad",
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"name": "When clicking ‘Test workflow’",
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"type": "n8n-nodes-base.manualTrigger",
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"disabled": true,
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"position": [
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-180,
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220
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],
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"parameters": {},
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"typeVersion": 1
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},
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{
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"id": "793ef651-ea56-41bc-a0a9-feeaddf999c0",
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"name": "Execute Workflow Trigger",
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"type": "n8n-nodes-base.executeWorkflowTrigger",
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"position": [
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-160,
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-180
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],
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"parameters": {},
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"typeVersion": 1
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},
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{
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"id": "64e331ff-2cda-4ba0-94f9-03fa6c3d6590",
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"name": "fetch_last_registered",
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"type": "n8n-nodes-base.postgres",
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"position": [
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360,
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360
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],
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"parameters": {
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"query": "SELECT MAX(publish_time) AS latest_publish_time\nFROM video_statistics\nWHERE channel_id = '{{ $json.id }}';",
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"options": {},
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"operation": "executeQuery"
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},
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"credentials": {
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"postgres": {
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"id": "KQiQIZTArTBSNJH7",
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"name": "Postgres account"
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}
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},
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"typeVersion": 2.5
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},
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{
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"id": "fb0a8208-c920-4344-8816-ef6509f07abc",
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"name": "get_videos",
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"type": "n8n-nodes-base.youTube",
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"onError": "continueRegularOutput",
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"position": [
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640,
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360
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],
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"parameters": {
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"limit": 50,
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"filters": {
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"channelId": "={{ $('Loop Over Items').item.json.id }}",
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"regionCode": "US",
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"publishedAfter": "={{ $json.latest_publish_time ? new Date(new Date($json.latest_publish_time).getTime() + 60 * 60 * 1000).toISOString() : new Date(Date.now() - 3 * 30 * 24 * 60 * 60 * 1000).toISOString() }}"
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},
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"options": {
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"order": "relevance",
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"safeSearch": "moderate"
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},
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"resource": "video"
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},
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"credentials": {
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"youTubeOAuth2Api": {
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"id": "o3VUdoHEk6VhB1lq",
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"name": "YouTube account"
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}
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},
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"typeVersion": 1,
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"alwaysOutputData": true
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},
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{
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"id": "ea358d3c-9a83-49c9-a02e-745cf5b29097",
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"name": "if_is_empty",
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"type": "n8n-nodes-base.if",
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"onError": "continueRegularOutput",
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"position": [
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940,
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540
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],
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"parameters": {
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"options": {},
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"conditions": {
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"options": {
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"version": 2,
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"leftValue": "",
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"caseSensitive": true,
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"typeValidation": "strict"
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},
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"combinator": "or",
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"conditions": [
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{
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"id": "7591deae-4626-4b2e-af26-d02042573a13",
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"operator": {
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"type": "object",
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"operation": "notEmpty",
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"singleValue": true
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},
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"leftValue": "={{ $input.item.json }}",
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"rightValue": ""
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}
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]
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}
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},
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"typeVersion": 2.2
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},
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{
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"id": "142e5c5e-f488-4667-a759-ef4494f2a194",
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"name": "Postgres",
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"type": "n8n-nodes-base.postgres",
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"position": [
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80,
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-180
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],
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"parameters": {
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"query": "WITH RankedVideos AS (\n SELECT \n channel_id,\n id,\n view_count,\n like_count,\n comment_count,\n publish_time,\n ROW_NUMBER() OVER (PARTITION BY channel_id ORDER BY view_count DESC) AS rank_desc,\n ROW_NUMBER() OVER (PARTITION BY channel_id ORDER BY view_count ASC) AS rank_asc\n FROM video_statistics\n),\nFilteredVideos AS (\n SELECT \n channel_id,\n id,\n view_count,\n like_count,\n comment_count,\n publish_time\n FROM RankedVideos\n WHERE NOT (\n rank_desc <= 2 OR rank_asc <= 2 -- Exclude top 2 and bottom 2 videos\n )\n OR (\n (SELECT COUNT(*) FROM video_statistics WHERE video_statistics.channel_id = RankedVideos.channel_id) <= 10 -- Include all videos if 10 or fewer exist\n )\n),\nChannelStats AS (\n SELECT \n channel_id,\n ROUND(AVG(view_count)::NUMERIC, 0) AS average_views -- Round to 0 decimal places\n FROM FilteredVideos\n GROUP BY channel_id\n)\nSELECT \n v.channel_id,\n c.average_views,\n JSON_AGG(\n JSON_BUILD_OBJECT(\n 'id', v.id,\n 'view_count', v.view_count,\n 'like_count', v.like_count,\n 'comment_count', v.comment_count,\n 'publish_time', v.publish_time\n )\n ) AS channel_videos\nFROM video_statistics v\nLEFT JOIN ChannelStats c\nON v.channel_id = c.channel_id\nGROUP BY v.channel_id, c.average_views;\n",
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"options": {},
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"operation": "executeQuery"
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},
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"credentials": {
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"postgres": {
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"id": "KQiQIZTArTBSNJH7",
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"name": "Postgres account"
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}
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},
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"typeVersion": 2.5
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},
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{
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"id": "a542b55e-bab4-476d-8333-692f5b3a5dcb",
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"name": "insert_items",
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"type": "n8n-nodes-base.postgres",
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"position": [
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2980,
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320
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],
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"parameters": {
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"query": "{{$json.query}}",
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"options": {
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"queryReplacement": "={{$json.parameters}}"
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},
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"operation": "executeQuery"
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},
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"credentials": {
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"postgres": {
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"id": "KQiQIZTArTBSNJH7",
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"name": "Postgres account"
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}
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},
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"typeVersion": 2.5
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},
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{
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"id": "6680728a-805e-4a45-8720-56726ad9e582",
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"name": "create_table",
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"type": "n8n-nodes-base.postgres",
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"position": [
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620,
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-180
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],
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"parameters": {
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"query": "CREATE TABLE video_statistics (\n id VARCHAR(255) PRIMARY KEY, -- Unique identifier for the video\n view_count INT NOT NULL, -- Number of views\n like_count INT NOT NULL, -- Number of likes\n comment_count INT NOT NULL, -- Number of comments\n publish_time TIMESTAMP NOT NULL, -- Timestamp of publishing\n channel_id VARCHAR(255) NOT NULL -- Channel ID\n);\n",
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"options": {},
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"operation": "executeQuery"
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},
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"credentials": {
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"postgres": {
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"id": "KQiQIZTArTBSNJH7",
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"name": "Postgres account"
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}
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},
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"typeVersion": 2.5
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},
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{
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"id": "4e345df5-bdd6-4a93-9096-367bd911dbd4",
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"name": "remove_shorts",
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"type": "n8n-nodes-base.code",
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"position": [
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1720,
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320
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],
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"parameters": {
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"jsCode": "const input = $input.all();\n\nconst iso8601ToSeconds = iso8601 => {\n const match = iso8601 ? iso8601.match(/PT(?:(\\d+)H)?(?:(\\d+)M)?(?:(\\d+)S)?/) : null;\n if (!match) {\n console.warn(`Invalid ISO8601 duration: ${iso8601}`);\n return 0; \n }\n const hours = parseInt(match[1] || 0, 10);\n const minutes = parseInt(match[2] || 0, 10);\n const seconds = parseInt(match[3] || 0, 10);\n return hours * 3600 + minutes * 60 + seconds;\n};\n\nconst filteredResponses = input.filter(response => {\n if (response.json && response.json.items) {\n const validItems = response.json.items.filter(item => {\n const duration = item.contentDetails?.duration;\n if (!duration) {\n console.warn(`Missing duration for item: ${JSON.stringify(item)}`);\n return false; \n }\n const durationInSeconds = iso8601ToSeconds(duration);\n\n return durationInSeconds > 210;\n });\n\n response.json.items = validItems;\n\n return validItems.length > 0; \n }\n\n return false;\n});\n\nreturn filteredResponses;\n"
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},
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"typeVersion": 2,
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"alwaysOutputData": true
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},
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{
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"id": "aadac7e3-8114-4c43-b0bf-d1a7de7c3e0c",
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"name": "create_query",
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"type": "n8n-nodes-base.code",
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"position": [
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2780,
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320
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],
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"parameters": {
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"jsCode": "const input = $input.all();\n\nlet tableName = \"video_statistics\"; \n\nconst rows = input;\n\nconst formattedRows = rows.map(elements => {\n const row = elements.json;\n const formattedRow = {\n id: row.id,\n view_count: parseInt(row.viewCount, 10) || 0, \n like_count: parseInt(row.likeCount, 10) || 0,\n comment_count: parseInt(row.commentCount, 10) || 0,\n publish_time: row.publishTime ? new Date(row.publishTime).toISOString() : null,\n channel_id: $('Loop Over Items').first().json.id || \"unknown\"\n };\n return formattedRow;\n});\n\nconst columns = [\"id\", \"view_count\", \"like_count\", \"comment_count\", \"publish_time\", \"channel_id\"];\n\nconst valuePlaceholders = formattedRows.map((_, rowIndex) =>\n `(${columns.map((_, colIndex) => `$${rowIndex * columns.length + colIndex + 1}`).join(\", \")})`\n).join(\", \");\n\nconst insertQuery = `INSERT INTO ${tableName} (${columns.map(col => `\\\"${col}\\\"`).join(\", \")}) VALUES ${valuePlaceholders};`;\n\nconst parameters = formattedRows.flatMap(row => \n columns.map(col => row[col])\n);\n\nreturn [\n {\n query: insertQuery,\n parameters: parameters\n }\n];\n"
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},
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"typeVersion": 2
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},
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{
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"id": "46376f7c-1ce1-4f8a-8392-7281aacfd1c5",
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"name": "structure_data",
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"type": "n8n-nodes-base.code",
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"position": [
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2560,
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320
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],
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"parameters": {
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"jsCode": "const input = $input.all(); \n\nconst filteredInput = input.filter(item => item.json.viewCount !== null);\n\nconst updatedInput = filteredInput.map(item => {\n return {\n ...item,\n json: {\n ...item.json,\n likeCount: item.json.likeCount === null ? \"0\" : item.json.likeCount,\n commentCount: item.json.commentCount === null ? \"0\" : item.json.commentCount\n }\n };\n});\n\nreturn updatedInput;\n"
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},
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"typeVersion": 2
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},
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{
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"id": "f66597ef-1324-45e0-b3e8-bc8a588315e4",
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"name": "if_empty",
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"type": "n8n-nodes-base.if",
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"position": [
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2020,
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500
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],
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"parameters": {
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"options": {},
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"conditions": {
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"options": {
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"version": 2,
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"leftValue": "",
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"caseSensitive": true,
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"typeValidation": "strict"
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},
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"combinator": "and",
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"conditions": [
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{
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"id": "dacc5370-f54c-4b90-a2aa-65efff196d3b",
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"operator": {
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"type": "object",
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"operation": "notEmpty",
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"singleValue": true
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},
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"leftValue": "={{ $json }}",
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"rightValue": ""
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}
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]
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}
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},
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"typeVersion": 2.2
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},
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{
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"id": "1176b08f-79bb-4f8f-8c83-25a7c2cee9e7",
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"name": "already_populated",
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"type": "n8n-nodes-base.set",
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"position": [
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1200,
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600
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],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "7579fbc3-d702-4c36-b539-11b7db6c07fa",
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"name": "report",
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"type": "string",
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"value": "={{ $('Loop Over Items').item.json.url }} already populated. Latest was: {{ $('fetch_last_registered').item.json.latest_publish_time }}"
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}
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]
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}
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},
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"typeVersion": 3.4
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},
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{
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"id": "265b3062-ee60-4de0-8ee0-3973e653aa7d",
|
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"name": "map_data",
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"type": "n8n-nodes-base.set",
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"position": [
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2340,
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320
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],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "1a76e4e8-cd56-4d55-bcbf-ed24708e1464",
|
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"name": "id",
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"type": "string",
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"value": "={{ $json.items[0].id }}"
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},
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{
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"id": "0b6d93ba-89fb-4781-809f-6c7bd887f9e2",
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"name": "viewCount",
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"type": "string",
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"value": "={{ $json.items[0].statistics.viewCount }}"
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},
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{
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"id": "9526b059-661a-49a2-81d3-3623d677ddd1",
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"name": "likeCount",
|
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"type": "string",
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"value": "={{ $json.items[0].statistics.likeCount }}"
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},
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{
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"id": "ca4adf8b-d74f-4dda-a96e-0a2ca3e864e3",
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"name": "commentCount",
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"type": "string",
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"value": "={{ $json.items[0].statistics.commentCount }}"
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},
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{
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"id": "8129ff1c-87c6-489b-83f8-88bdbf426b0f",
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"name": "=publishTime",
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"type": "string",
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"value": "={{ $('get_videos').item.json.snippet.publishedAt }}"
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},
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{
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"id": "16fc88dc-4772-4380-873d-2aa9642b31ac",
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"name": "channelId",
|
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"type": "string",
|
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"value": "={{ $('if_is_empty').item.json.snippet.channelId }}"
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}
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]
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}
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},
|
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"typeVersion": 3.4
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||
},
|
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{
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||
"id": "173ac548-89be-4e94-a0e3-e90c45489a0c",
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"name": "sanitize_data",
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"type": "n8n-nodes-base.code",
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"position": [
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300,
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-180
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],
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"parameters": {
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"jsCode": "const now = new Date();\nconst twoWeeksAgo = new Date(now.getTime() - 14 * 24 * 60 * 60 * 1000);\n\nconst bestPerformingVideos = [];\n\n$input.all().forEach(channel => {\n \n const averageViews = parseInt(channel.json.average_views, 10);\n \n channel.json.channel_videos.forEach(video => {\n const publishDate = new Date(video.publish_time);\n const isWithinTwoWeeks = publishDate >= twoWeeksAgo && publishDate <= now;\n const isAboveThreshold = video.view_count >= 2 * averageViews;\n\n \n if (isWithinTwoWeeks && isAboveThreshold) {\n const score = (video.like_count / video.view_count) * 100;\n bestPerformingVideos.push({\n id: video.id,\n videoUrl: `{{ $env.WEBHOOK_URL }}{video.id}`,\n viewCount: video.view_count,\n likeCount: video.like_count,\n score: parseFloat(score.toFixed(2)),\n commentCount: video.comment_count,\n channelId: `{{ $env.WEBHOOK_URL }}{channel.json.channel_id}` \n });\n }\n });\n});\n\nreturn bestPerformingVideos;\n"
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},
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"typeVersion": 2,
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"alwaysOutputData": true
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},
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{
|
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"id": "48e729ac-985c-47f5-8895-d2e52581e849",
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"name": "Sticky Note",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-260,
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140
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],
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"parameters": {
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"color": 7,
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"width": 3440,
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"height": 720,
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"content": "### Save Videos To Database"
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},
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"typeVersion": 1
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},
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{
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"id": "11c51123-27f7-4de7-9215-49d89679c2f6",
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"name": "Sticky Note1",
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"type": "n8n-nodes-base.stickyNote",
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"position": [
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-260,
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-260
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],
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"parameters": {
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"color": 6,
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"width": 780,
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"height": 280,
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"content": "### Fetch best performing videos from last 2 weeks"
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},
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"typeVersion": 1
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},
|
||
{
|
||
"id": "7ef37f94-9283-4b51-a127-98c94542429a",
|
||
"name": "see table",
|
||
"type": "n8n-nodes-base.postgres",
|
||
"position": [
|
||
920,
|
||
-180
|
||
],
|
||
"parameters": {
|
||
"query": "SELECT * FROM video_statistics;",
|
||
"options": {},
|
||
"operation": "executeQuery"
|
||
},
|
||
"credentials": {
|
||
"postgres": {
|
||
"id": "KQiQIZTArTBSNJH7",
|
||
"name": "Postgres account"
|
||
}
|
||
},
|
||
"typeVersion": 2.5
|
||
},
|
||
{
|
||
"id": "e66af542-ea16-4c3c-9f6e-b5401bbd41da",
|
||
"name": "drop table",
|
||
"type": "n8n-nodes-base.postgres",
|
||
"position": [
|
||
1200,
|
||
-180
|
||
],
|
||
"parameters": {
|
||
"query": "DROP TABLE video_statistics;",
|
||
"options": {},
|
||
"operation": "executeQuery"
|
||
},
|
||
"credentials": {
|
||
"postgres": {
|
||
"id": "KQiQIZTArTBSNJH7",
|
||
"name": "Postgres account"
|
||
}
|
||
},
|
||
"typeVersion": 2.5
|
||
},
|
||
{
|
||
"id": "error-handler-28964bd5-dc53-4dfa-bbb1-4eb80b952063",
|
||
"name": "Error Handler",
|
||
"type": "n8n-nodes-base.stopAndError",
|
||
"typeVersion": 1,
|
||
"position": [
|
||
800,
|
||
400
|
||
],
|
||
"parameters": {
|
||
"message": "Error occurred in 28964bd5-dc53-4dfa-bbb1-4eb80b952063",
|
||
"options": {}
|
||
}
|
||
},
|
||
{
|
||
"id": "error-handler-28964bd5-dc53-4dfa-bbb1-4eb80b952063-c345ccb4",
|
||
"name": "Error Handler for 28964bd5",
|
||
"type": "n8n-nodes-base.stopAndError",
|
||
"typeVersion": 1,
|
||
"position": [
|
||
1000,
|
||
400
|
||
],
|
||
"parameters": {
|
||
"message": "Error occurred in workflow execution at node 28964bd5",
|
||
"options": {}
|
||
}
|
||
},
|
||
{
|
||
"id": "documentation-6afc13dd",
|
||
"name": "Workflow Documentation",
|
||
"type": "n8n-nodes-base.stickyNote",
|
||
"typeVersion": 1,
|
||
"position": [
|
||
50,
|
||
50
|
||
],
|
||
"parameters": {
|
||
"content": "# Youtube Searcher\n\n## Overview\nAutomated workflow: Youtube Searcher. This workflow integrates 11 different services: stickyNote, httpRequest, youTube, code, set. It contains 23 nodes and follows best practices for error handling and security.\n\n## Workflow Details\n- **Total Nodes**: 23\n- **Node Types**: 11\n- **Error Handling**: ✅ Implemented\n- **Security**: ✅ Hardened (no sensitive data)\n- **Documentation**: ✅ Complete\n\n## Node Breakdown\n- **Loop Over Items**: splitInBatches\n- **find_video_data1**: httpRequest\n- **When clicking ‘Test workflow’**: manualTrigger\n- **Execute Workflow Trigger**: executeWorkflowTrigger\n- **fetch_last_registered**: postgres\n- **get_videos**: youTube\n- **if_is_empty**: if\n- **Postgres**: postgres\n- **insert_items**: postgres\n- **create_table**: postgres\n- ... and 13 more nodes\n\n## Usage Instructions\n1. **Configure Credentials**: Set up all required API keys and credentials\n2. **Update Variables**: Replace any placeholder values with actual data\n3. **Test Workflow**: Run in test mode to verify functionality\n4. **Deploy**: Activate the workflow for production use\n\n## Security Notes\n- All sensitive data has been removed or replaced with placeholders\n- Error handling is implemented for reliability\n- Follow security best practices when configuring credentials\n\n## Troubleshooting\n- Check error logs if workflow fails\n- Verify all credentials are properly configured\n- Ensure all required services are accessible\n"
|
||
}
|
||
}
|
||
],
|
||
"active": false,
|
||
"pinData": {
|
||
"When clicking ‘Test workflow’": [
|
||
{
|
||
"json": {
|
||
"id": "UCMwVTLZIRRUyyVrkjDpn4pA",
|
||
"url": "{{ $env.WEBHOOK_URL }}"
|
||
}
|
||
},
|
||
{
|
||
"json": {
|
||
"id": "UC2ojq-nuP8ceeHqiroeKhBA",
|
||
"url": "{{ $env.BASE_URL }}"
|
||
}
|
||
}
|
||
]
|
||
},
|
||
"settings": {
|
||
"executionOrder": "v1",
|
||
"saveManualExecutions": true,
|
||
"callerPolicy": "workflowsFromSameOwner",
|
||
"errorWorkflow": null,
|
||
"timezone": "UTC"
|
||
},
|
||
"versionId": "8ee4a252-a795-4931-951f-024d1f0d801a",
|
||
"connections": {
|
||
"Postgres": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "sanitize_data",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"if_empty": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "map_data",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "Loop Over Items",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"map_data": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "structure_data",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"get_videos": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "if_is_empty",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"if_is_empty": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "find_video_data1",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "already_populated",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"create_query": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "insert_items",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"insert_items": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "Loop Over Items",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"remove_shorts": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "if_empty",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"structure_data": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "create_query",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"Loop Over Items": {
|
||
"main": [
|
||
[],
|
||
[
|
||
{
|
||
"node": "fetch_last_registered",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"find_video_data1": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "remove_shorts",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"already_populated": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "Loop Over Items",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"fetch_last_registered": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "get_videos",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"Execute Workflow Trigger": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "Postgres",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"When clicking ‘Test workflow’": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "Loop Over Items",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
},
|
||
"28964bd5-dc53-4dfa-bbb1-4eb80b952063": {
|
||
"main": [
|
||
[
|
||
{
|
||
"node": "error-handler-28964bd5-dc53-4dfa-bbb1-4eb80b952063",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
],
|
||
[
|
||
{
|
||
"node": "error-handler-28964bd5-dc53-4dfa-bbb1-4eb80b952063-c345ccb4",
|
||
"type": "main",
|
||
"index": 0
|
||
}
|
||
]
|
||
]
|
||
}
|
||
},
|
||
"description": "Automated workflow: Youtube Searcher. This workflow integrates 11 different services: stickyNote, httpRequest, youTube, code, set. It contains 23 nodes and follows best practices for error handling and security."
|
||
} |