{ "workflow": { "id": 3533, "name": "Google search engine results page extraction and summarization with Bright Data", "views": 3591, "recentViews": 0, "totalViews": 3591, "createdAt": "2025-04-13T06:59:12.105Z", "description": "### Who this is for?\nThis workflow is designed for professionals and teams who need real-time, structured insights from Google Search results without manual effort.\n\n### What problem is this workflow solving? \nThis n8n workflow solves the problem of automating Google Search result extraction, cleanup, summarization, and AI-enhanced formatting for downstream use like sending the results to a webhook or another system. \n\n### What this workflow does\n\n1. Automates Google Search via Bright Data\n - Uses Bright Data’s proxy-based SERP API to run a Google Search query programmatically. \n - Makes the process repeatable and scriptable with different search terms and regions/zones.\n\n2. Cleans and Extracts Useful Content\n - The **Google Search Data Extractor** uses LLM based cleaning to remove HTML/CSS/JS from the response and extract pure text data. \n - Converts messy, unstructured web content into structured, machine-readable format.\n\n3. Summarizes Search Results\nThrough the Gemini Flash + Summarization Chain, it generates a concise summary of the search results. Ideal for users who don’t have time to read full pages of search results.\n\n4. Formats Data Using AI Agent\nThe AI Agent acts like a virtual assistant that: \n- Understands search results\n- Formats them in a readable, JSON-compatible form\n- Prepares them for webhook delivery\n\n5. Delivers Results to Webhook\nSends the final summary + structured search result to a webhook (could be your app, a Slack bot, Google Sheets, or CRM).\n\n### Setup\n\n- Sign up at [Bright Data](https://brightdata.com/).\n- Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.\n- In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication).\n![Header Authentication.png](fileId:1234)\nThe Value field should be set with the\n**Bearer XXXXXXXXXXXXXX**. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.\n- A Google Gemini API key (or access through Vertex AI or proxy).\n- Update the Google Search query as you wish by navigating to the **Set Google Search Query** node.\n- Update the **Webhook HTTP Request** node with the Webhook endpoint of your choice.\n\n### How to customize This Workflow to your needs\n\n**1. Change the Search Input**\n\nDefault: It searches a fixed query or dataset.\n\nCustomize:\n- Accept input from a Google Sheet, Airtable, or a form.\n - Auto-trigger searches based on keywords or schedules.\n\n**2. Customize Summarization Style (LLM Output)**\n\nDefault: General summary using Google Gemini or OpenAI.\n\nCustomize:\n\n- Add tone: formal, casual, technical, executive-summary, etc.\n\n- Focus on specific sections: pricing, competitors, FAQs, etc.\n\n- Translate the summaries into multiple languages.\n\n- Add bullet points, pros/cons, or insight tags.\n\n**3.Choose Where the Results Go**\n\nOptions:\n\n- Email, Slack, Notion, Airtable, Google Docs, or a dashboard.\n\n- Auto-create content drafts for WordPress or newsletters.\n\n- Feed into CRM notes or attach to Salesforce leads.\n", "workflow": { "id": "GcSlNHOnN39cPhRA", "meta": { "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40", "templateCredsSetupCompleted": true }, "name": "Google Search Engine Results Page Extraction with Bright Data", "tags": [ { "id": "Kujft2FOjmOVQAmJ", "name": "Engineering", "createdAt": "2025-04-09T01:31:00.558Z", "updatedAt": "2025-04-09T01:31:00.558Z" }, { "id": "ddPkw7Hg5dZhQu2w", "name": "AI", "createdAt": "2025-04-13T05:38:08.053Z", "updatedAt": "2025-04-13T05:38:08.053Z" } ], "nodes": [ { "id": "c40156b9-b7ba-449b-8362-f8b8cd27a36d", "name": "When clicking ‘Test workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ 200, -440 ], "parameters": {}, "typeVersion": 1 }, { "id": "d98ae28e-a94f-43a1-9bfe-362adbc61c69", "name": "Google Gemini Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 960, -240 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash-exp" }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "typeVersion": 1 }, { "id": "984acfe6-acd7-4817-b2d5-6d2aab511bae", "name": "Summarization Chain", "type": "@n8n/n8n-nodes-langchain.chainSummarization", "position": [ 1320, -440 ], "parameters": { "options": {} }, "typeVersion": 2 }, { "id": "6b5e26bf-8802-40d4-bc44-62c086c00f7c", "name": "Google Gemini Chat Model For Summarization", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 1320, -260 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash-exp" }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "typeVersion": 1 }, { "id": "1669f59a-eff8-41ad-a6eb-758eec7ed74a", "name": "Google Gemini Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "position": [ 1620, -200 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash-exp" }, "credentials": { "googlePalmApi": { "id": "credential-id", "name": "googlePalmApi Credential" } }, "typeVersion": 1 }, { "id": "ad6c4a15-13e0-49fa-9048-bc1838ba0ef9", "name": "Webhook HTTP Request", "type": "@n8n/n8n-nodes-langchain.toolHttpRequest", "position": [ 1960, -200 ], "parameters": { "url": "https://webhook.site/ce41e056-c097-48c8-a096-9b876d3abbf7", "method": "POST", "sendBody": true, "parametersBody": { "values": [ { "name": "search_summary", "value": "={{ $json.response.text }}", "valueProvider": "fieldValue" }, { "name": "search_result" } ] }, "toolDescription": "Extract the response and format a structured JSON response" }, "typeVersion": 1.1 }, { "id": "dc5985c2-02cd-47d0-b518-8dc9d8302998", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 220, -780 ], "parameters": { "width": 400, "height": 300, "content": "## Bright Data Google Search SERP (Search Engine Results Page)\n\nDeals with the Google Search using the Bright Data Web Scraper API.\n\nThe Information Extraction, Summarization and AI Agent are being used to demonstrate the usage of the N8N AI capabilities.\n\n**Please make sure to Set the Google Search Query and update the Webhook Notification URL**" }, "typeVersion": 1 }, { "id": "38b1a20b-9d62-45d9-9399-0b927a6e882a", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 720, -780 ], "parameters": { "width": 480, "height": 300, "content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nGoogle Search Data Extractor using the n8n Infromation Extractor node.\n\nSummarization Chain is being used for the summarization of search results.\n\nThe AI Agent formats the search result and pushes it to the Webhook via HTTP Request" }, "typeVersion": 1 }, { "id": "3019d6eb-cf84-43fd-bb98-f7eed6c9c75f", "name": "Google Search Data Extractor", "type": "@n8n/n8n-nodes-langchain.informationExtractor", "position": [ 960, -440 ], "parameters": { "text": "={{ $json.data }}", "options": { "systemPromptTemplate": "You are an expert HTML extractor. Your job is to analyze the search result and \nstrip out the html, css, scripts and produce a textual data." }, "attributes": { "attributes": [ { "name": "textual_response", "description": "Textual Response" } ] } }, "typeVersion": 1 }, { "id": "e82e62cf-6618-405a-943f-d2933771e051", "name": "Perform Google Search Request", "type": "n8n-nodes-base.httpRequest", "position": [ 720, -440 ], "parameters": { "url": "https://api.brightdata.com/request", "method": "POST", "options": {}, "sendBody": true, "sendHeaders": true, "authentication": "genericCredentialType", "bodyParameters": { "parameters": [ { "name": "zone", "value": "={{ $json.zone }}" }, { "name": "url", "value": "=https://www.google.com/search?q={{ encodeURI($json.search_query) }}" }, { "name": "format", "value": "raw" } ] }, "genericAuthType": "httpHeaderAuth", "headerParameters": { "parameters": [ {} ] } }, "credentials": { "httpHeaderAuth": { "id": "credential-id", "name": "httpHeaderAuth Credential" } }, "typeVersion": 4.2 }, { "id": "0d4baa4c-4f6d-4bb2-8964-73d9cf2a391c", "name": "Google Search Expert AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 1680, -440 ], "parameters": { "text": "=You are an expert Google Search Expert. You need to format the search result and push it to the Webhook via HTTP Request. Here is the search result - {{ $('Google Search Data Extractor').item.json.output.textual_response }}", "options": {}, "promptType": "define" }, "typeVersion": 1.8 }, { "id": "433d4369-f750-40bd-8e46-8368f535e99f", "name": "Set Google Search Query", "type": "n8n-nodes-base.set", "position": [ 440, -440 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9", "name": "search_query", "type": "string", "value": "Bright Data" }, { "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba", "name": "zone", "type": "string", "value": "serp_api1" } ] } }, "typeVersion": 3.4 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "3573d57f-de02-4ce6-bfdf-5e83a8a5d7d0", "connections": { "Summarization Chain": { "main": [ [ { "node": "Google Search Expert AI Agent", "type": "main", "index": 0 } ] ] }, "Webhook HTTP Request": { "ai_tool": [ [ { "node": "Google Search Expert AI Agent", "type": "ai_tool", "index": 0 } ] ] }, "Set Google Search Query": { "main": [ [ { "node": "Perform Google Search Request", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "Google Search Data Extractor", "type": "ai_languageModel", "index": 0 } ] ] }, "Google Gemini Chat Model1": { "ai_languageModel": [ [ { "node": "Google Search Expert AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Google Search Data Extractor": { "main": [ [ { "node": "Summarization Chain", "type": "main", "index": 0 } ] ] }, "Google Search Expert AI Agent": { "main": [ [] ] }, "Perform Google Search Request": { "main": [ [ { "node": "Google Search Data Extractor", "type": "main", "index": 0 } ] ] }, "When clicking ‘Test workflow’": { "main": [ [ { "node": "Set Google Search Query", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model For Summarization": { "ai_languageModel": [ [ { "node": "Summarization Chain", "type": "ai_languageModel", "index": 0 } ] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 12, "nodeTypes": { "n8n-nodes-base.set": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 2 }, "n8n-nodes-base.httpRequest": { "count": 1 }, "n8n-nodes-base.manualTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "@n8n/n8n-nodes-langchain.toolHttpRequest": { "count": 1 }, "@n8n/n8n-nodes-langchain.chainSummarization": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatGoogleGemini": { "count": 3 }, "@n8n/n8n-nodes-langchain.informationExtractor": { "count": 1 } } }, "status": "published", "user": { "name": "Ranjan Dailata", "username": "ranjancse", "bio": "A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com ", "verified": true, "links": [ "https://www.linkedin.com/in/ranjan-dailata/" ], "avatar": "https://gravatar.com/avatar/7b74fe44a7ad32db7c783b972deb5848a4b1f043377bce4039737ed66da8305f?r=pg&d=retro&size=200" }, "nodes": [ { "id": 19, "icon": "file:httprequest.svg", "name": "n8n-nodes-base.httpRequest", "codex": { "data": { "alias": [ "API", "Request", "URL", "Build", "cURL" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/", "icon": "📈", "label": "Automatically pulling and visualizing data with n8n" }, { "url": 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