{"workflow":{"id":13525,"name":"Generate content ideas from social trends with Apify, Gemini, and Google Sheets","views":177,"recentViews":1,"totalViews":177,"createdAt":"2026-02-19T16:34:05.278Z","description":"# Trend2Content\n\nThis n8n workflow (named **Trend2Content**) takes a short topic input from a small web form, scrapes recent/top social content for that topic (via an Apify act), aggregates the raw text, passes that aggregated content into a LangChain AI agent (Google Gemini in this flow) which returns a structured content output (topic summary, blog post title ideas, tweet hooks), formats that output, and appends the results into a Google Sheet.\n\nIt’s a lightweight:\n\n**Topic β†’ Trending Content β†’ AI Ideas β†’ Sheet**\n\npipeline for fast content ideation.\n\n---\n\n## How It Works (Step-by-Step)\n\n1. **On Form Submission** \n The user fills a single field `Topic` (webhook/form trigger).\n\n2. **X Scraper (HTTP Request)** \n Calls an Apify act `run-sync-get-dataset-items` with: \n - `searchTerms: [{{ $json.Topic }}]` \n - `maxItems: 20` \n to fetch social posts for that topic.\n\n3. **Edit Fields (Set)** \n Extracts `fullText` from each scraped item and stores it in a `Content` field.\n\n4. **Aggregate** \n Aggregates the `Content` field so the AI agent receives one combined input rather than many separate items.\n\n5. **Google Gemini Chat Model (LM) + AI Agent (LangChain Agent Node)** \n The agent uses a templated system prompt + the aggregated content to generate a structured response with:\n - Topic summary \n - Blog title ideas \n - Tweet hooks \n\n The agent is connected to a **Structured Output Parser** node to force a predictable JSON schema.\n\n6. **Code in JavaScript** \n Transforms the structured JSON into sheet-friendly strings (joins arrays with bullets).\n\n7. **Append Row in Sheet (Google Sheets)** \n Appends the generated `blog_post_titles` and `tweet_hooks` to the target Google Sheet.\n\n8. **(Optional)** \n Sticky notes and internal meta nodes exist for documentation and board organization.\n\n---\n# Quick Setup Guide\nπŸ‘‰ [Demo & Setup Video](https://drive.google.com/file/d/1HeypybNWR-AHu1Odtt0kgcsK-uRPB0JP/view?usp=sharing)\nπŸ‘‰ [Sheet Template](https://docs.google.com/spreadsheets/d/1ewthiWelucJgbn1V3xizT_eeQ0gROcaHaJr0WNLX5sE/edit?usp=sharing)\nπŸ‘‰ [Course](https://www.udemy.com/course/n8n-automation-mastery-build-ai-powered-enterprise-ready/?referralCode=2EAE71591D3BEB80F2CC)\n\n---\n## Nodes of Interest You Can Edit\n\n### 1. On Form Submission (formTrigger)\n- Edit form fields (add author, language, region, or filters).\n- Change webhook behaviour or require authentication.\n\n### 2. X Scraper (HTTP Request)\n- **URL:** Change to another Apify act or another scraping API.\n- **jsonBody:** Change `maxItems`, `sort` (Top/Recent), or modify `searchTerms` (e.g., topic + hashtag).\n- **Headers:** Set the `Authorization: Bearer` token (Apify).\n- Add pagination or query parameters if switching scraper APIs.\n\n### 3. Edit Fields (Set)\n- Map additional fields (author, date, source URL).\n- Add filtering logic (remove short posts, retweets, duplicates).\n\n### 4. Aggregate\n- Customize aggregation strategy:\n - Concatenate\n - Sample top N\n - Deduplicate before combining\n\n### 5. Google Gemini Chat Model / AI Agent / Structured Output Parser\n- Edit `systemMessage` and prompt template (tone, format, extra outputs).\n- Tune LM parameters (temperature, max tokens).\n- Update schema to request:\n - Sentiment\n - Key quotes\n - Additional formats\n\n### 6. Code in JavaScript\n- Modify formatting (CSV-ready, add timestamp).\n- Add metadata columns.\n- Add deduplication or length checks before write.\n\n### 7. Append Row in Sheet (Google Sheets)\n- Change spreadsheet ID or sheet name.\n- Add more columns.\n- Switch from Append to Upsert.\n- Configure batch appends.\n\n---\n\n## What You’ll Need (Credentials)\n\n### 1. Apify API Token\n- Used in the HTTP Request node.\n- Set in header: \n `Authorization: Bearer YOUR_APIFY_TOKEN`\n\n### 2. Google Sheets OAuth2 Credentials\n- Must include `spreadsheets` scope.\n- Required for appending rows.\n\n### 3. Google / PaLM / Google Gemini API Credentials\n- Used by the LangChain / Google Gemini node.\n\n### Optional\n- n8n webhook URL (for mounting the form).\n- Monitoring credentials (Slack webhook, Sentry, etc.) for alerts.\n\n---\n\n## Recommended Settings & Best Practices\n\n- Enable workflow only after testing (`active: true`).\n- Limit `maxItems` (20–50 recommended).\n- Sanitize & dedupe content before sending to the AI.\n- Always use a **Structured Output Parser** for reliable JSON.\n- Set low temperature (0.0–0.6) for consistent results.\n- Add retries and exponential backoff for external APIs.\n- Add logging or Slack alerts for failures.\n- Keep execution log columns in the sheet (`status`, `error_message`, `run_time`).\n- Store workflow JSON in version control.\n- Monitor API rate limits (Apify + Google).\n- Avoid writing scraped PII into public sheets.\n\n---\n\n## Customization Ideas\n\n- Add output types:\n - Instagram captions\n - LinkedIn posts\n - Video scripts\n - Email subject lines\n\n- Add sentiment / trend scoring.\n- Add language detection & translation.\n- Store aggregated content in a vector database (Pinecone / Chroma).\n- Schedule runs using Cron trigger.\n- Add multiple data sources (Reddit, RSS, HackerNews).\n- Add approval workflow (Slack / Notion).\n- Add metadata columns:\n - `source_urls`\n - `top_authors`\n - `most_shared`\n\n---\n# Tags\n#content-ideation' \n#social \n#ai \n#google-gemini \n#apify \n#google-sheets \n#n8n \n\n\n\n\n\n\n","workflow":{"id":"iAjQBQ1Zx9l5pw9e","meta":{"instanceId":"4764540811cbb8d2e1efff249fe019f120efdfc1d1ad5d0e40382bf91ca0b3dc","templateCredsSetupCompleted":true},"name":"Trend2Content","tags":[],"nodes":[{"id":"3a3ed6ce-37c5-4740-aa5d-ebab919a0f81","name":"X Scraper","type":"n8n-nodes-base.httpRequest","position":[304,640],"parameters":{"url":"https://api.apify.com/v2/acts/nfp1fpt5gUlBwPcor/run-sync-get-dataset-items","method":"POST","options":{"redirect":{"redirect":{}}},"jsonBody":"={\n \"maxItems\": 20,\n \"searchTerms\": [\n \"{{ $json.Topic }}\"\n ],\n \"sort\": \"Top\"\n}","sendBody":true,"sendHeaders":true,"specifyBody":"json","headerParameters":{"parameters":[{"name":"Accept","value":"application/json"},{"name":"Authorization","value":"Bearer "}]}},"typeVersion":4.2},{"id":"be68d745-7889-4108-a007-4647a95f091d","name":"Edit Fields","type":"n8n-nodes-base.set","position":[512,640],"parameters":{"options":{},"assignments":{"assignments":[{"id":"f+1234567890bda-4d37-ae4c-f1a5e05f0b2b","name":"Content","type":"string","value":"={{ $json.fullText }}"}]}},"typeVersion":3.4},{"id":"e78e0453-9dd0-44db-8465-bbe2df5cb05e","name":"AI Agent","type":"@n8n/n8n-nodes-langchain.agent","position":[960,640],"parameters":{"text":"={{ $json.Content }}","options":{"systemMessage":"=You are a helpful AI assistant specialized in {{ $('On form submission').item.json.Topic }} content creation. You will be given informal content from top Twitter posts about a specific {{ $('On form submission').item.json.Topic }} topic (community discussion, not polished articles). Use this input as inspiration to produce:\n\nBlog post title ideas: Generate 3–5 creative, attention-grabbing titles relevant to the topic. These should be engaging and optimized for a {{ $('On form submission').item.json.Topic }} audience.\n\nTweet hooks: Create 3–5 concise, intriguing one-liners designed to spark curiosity, conversation, or shares on social media about this topic.\n\nEnsure all suggestions are original, on-topic, and likely to resonate with and engage the {{ $('On form submission').item.json.Topic }} community."},"promptType":"define","hasOutputParser":true},"typeVersion":2.2},{"id":"f68bf125-869d-44a9-87f2-5ebde4d9389a","name":"Aggregate","type":"n8n-nodes-base.aggregate","position":[752,640],"parameters":{"options":{},"fieldsToAggregate":{"fieldToAggregate":[{"fieldToAggregate":"Content"}]}},"typeVersion":1},{"id":"4fa7a24f-1d97-4750-9b2a-0923ada503fc","name":"Structured Output Parser","type":"@n8n/n8n-nodes-langchain.outputParserStructured","position":[1104,848],"parameters":{"jsonSchemaExample":"{\n \"topic_summary\": \"Brief one-sentence summary of the topic based on the post content.\",\n\n \"blog_post_titles\": [\n \"Creative blog post title idea 1\",\n \"Creative blog post title idea 2\",\n \"Creative blog post title idea 3\",\n \"Creative blog post title idea 4 (optional)\",\n \"Creative blog post title idea 5 (optional)\"\n ],\n\n \"tweet_hooks\": [\n \"Engaging tweet hook idea 1\",\n \"Engaging tweet hook idea 2\",\n \"Engaging tweet hook idea 3\",\n \"Engaging tweet hook idea 4 (optional)\",\n \"Engaging tweet hook idea 5 (optional)\"\n ]\n}\n"},"typeVersion":1.3},{"id":"0b406805-3599-448f-8c15-6850cbcbc5cb","name":"Append row in sheet","type":"n8n-nodes-base.googleSheets","position":[1600,640],"parameters":{"columns":{"value":{"tweet_hooks":"={{ $json.tweet_hooks }}","blog_post_titles":"={{ $json.blog_post_titles }}"},"schema":[{"id":"blog_post_titles","type":"string","display":true,"required":false,"displayName":"blog_post_titles","defaultMatch":false,"canBeUsedToMatch":true},{"id":"tweet_hooks","type":"string","display":true,"required":false,"displayName":"tweet_hooks","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":false},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"list","value":"gid=0","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1ewthiWelucJgbn1V3xizT_eeQ0gROcaHaJr0WNLX5sE/edit#gid=0","cachedResultName":"Sheet1"},"documentId":{"__rl":true,"mode":"list","value":"1ewthiWelucJgbn1V3xizT_eeQ0gROcaHaJr0WNLX5sE","cachedResultUrl":"https://docs.google.com/spreadsheets/d/1ewthiWelucJgbn1V3xizT_eeQ0gROcaHaJr0WNLX5sE/edit?usp=drivesdk","cachedResultName":"Trend2Content"}},"credentials":{"googleSheetsOAuth2Api":{"id":"credential-id","name":"Google Sheets account"}},"typeVersion":4.7},{"id":"c05c39fb-72d4-4a51-9dc5-0eed0c453f2c","name":"Code in JavaScript","type":"n8n-nodes-base.code","position":[1392,640],"parameters":{"jsCode":"return {\n topic_summary: $json.output.topic_summary,\n blog_post_titles: $json.output.blog_post_titles.join('\\nβ€’ '),\n tweet_hooks: $json.output.tweet_hooks.join('\\nβ€’ ')\n}\n"},"typeVersion":2},{"id":"d5212c4b-1bc4-42c0-8f49-0845fdfd0d3f","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-800,448],"parameters":{"width":848,"height":1120,"content":"# Trend2Content\n\nThis n8n workflow (named **Trend2Content**) takes a short topic input from a small web form, scrapes recent/top social content for that topic (via an Apify act), aggregates the raw text, passes that aggregated content into a LangChain AI agent (Google Gemini in this flow) which returns a structured content output (topic summary, blog post title ideas, tweet hooks), formats that output, and appends the results into a Google Sheet.\n\nIt’s a lightweight:\n\n**Topic β†’ Trending Content β†’ AI Ideas β†’ Sheet**\n\npipeline for fast content ideation.\n\n---\n\n# How It Works (Step-by-Step)\n\n## 1. **On Form Submission** \n## 2. **X Scraper (HTTP Request)** \n## 3. **Edit Fields (Set)** \n## 4. **Aggregate** \n## 5. **Google Gemini Chat Model (LM) + AI Agent \n## 6. **Code in JavaScript** \n## 7. **Append Row in Sheet (Google Sheets)** \n\n\n# Quick Setup Guide\nπŸ‘‰ [Demo & Setup Video](https://drive.google.com/file/d/1HeypybNWR-AHu1Odtt0kgcsK-uRPB0JP/view?usp=sharing)\nπŸ‘‰ [Sheet Template](https://docs.google.com/spreadsheets/d/1ewthiWelucJgbn1V3xizT_eeQ0gROcaHaJr0WNLX5sE/edit?usp=sharing)\nπŸ‘‰ [Course](https://www.udemy.com/course/n8n-automation-mastery-build-ai-powered-enterprise-ready/?referralCode=2EAE71591D3BEB80F2CC)\n"},"typeVersion":1},{"id":"e384a58b-1cd0-4b7a-8b2f-e7fed22b0305","name":"On form submission","type":"n8n-nodes-base.formTrigger","position":[128,640],"webhookId":"5bb0fa47-ba3c-4938-a078-e0e89a77639e","parameters":{"options":{},"formTitle":"Trend Extraction and AI Content Generation","formFields":{"values":[{"fieldLabel":"Topic","placeholder":"Web3","requiredField":true}]}},"typeVersion":2.3},{"id":"38b03646-6912-4d0f-b19a-aecad5dd88bb","name":"Google Gemini Chat Model","type":"@n8n/n8n-nodes-langchain.lmChatGoogleGemini","position":[960,848],"parameters":{"options":{}},"credentials":{"googlePalmApi":{"id":"credential-id","name":"Google Gemini Api account"}},"typeVersion":1},{"id":"06e213fc-bb73-481b-b14c-abcc701182c9","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[64,448],"parameters":{"color":5,"width":608,"height":560,"content":"# Input & Ingest (Trigger β†’ Scrape β†’ Normalize)"},"typeVersion":1},{"id":"598c02eb-88cb-4fab-8a82-3510d73d5fb5","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[688,448],"parameters":{"color":5,"width":608,"height":560,"content":"# Aggregate & Generate (Combine β†’ LangChain Agent β†’ Parser)"},"typeVersion":1},{"id":"78ccdd22-980f-40f1-8492-72525ad24e82","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[1312,448],"parameters":{"color":5,"width":608,"height":560,"content":"# Format, Store & Observe (JS Format β†’ Google Sheets β†’ Notes)"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"d27e58b7-d67c-4376-9ee1-d0ffe4697716","connections":{"AI Agent":{"main":[[{"node":"Code in JavaScript","type":"main","index":0}]]},"Aggregate":{"main":[[{"node":"AI Agent","type":"main","index":0}]]},"X Scraper":{"main":[[{"node":"Edit Fields","type":"main","index":0}]]},"Edit Fields":{"main":[[{"node":"Aggregate","type":"main","index":0}]]},"Code in JavaScript":{"main":[[{"node":"Append row in sheet","type":"main","index":0}]]},"On form submission":{"main":[[{"node":"X Scraper","type":"main","index":0}]]},"Google Gemini Chat Model":{"ai_languageModel":[[{"node":"AI Agent","type":"ai_languageModel","index":0}]]},"Structured Output Parser":{"ai_outputParser":[[{"node":"AI Agent","type":"ai_outputParser","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":13,"nodeTypes":{"n8n-nodes-base.set":{"count":1},"n8n-nodes-base.code":{"count":1},"n8n-nodes-base.aggregate":{"count":1},"n8n-nodes-base.stickyNote":{"count":4},"n8n-nodes-base.formTrigger":{"count":1},"n8n-nodes-base.httpRequest":{"count":1},"n8n-nodes-base.googleSheets":{"count":1},"@n8n/n8n-nodes-langchain.agent":{"count":1},"@n8n/n8n-nodes-langchain.lmChatGoogleGemini":{"count":1},"@n8n/n8n-nodes-langchain.outputParserStructured":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Pratyush Kumar Jha","username":"pratyush","bio":"Automation consultant specialising in n8n workflows. I help teams automate operations, integrate APIs, and deploy AI-powered automations. 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