{ "workflow": { "id": 4330, "name": "Automated resume job matching engine with Bright Data MCP & OpenAI 4o mini", "views": 2852, "recentViews": 1, "totalViews": 2852, "createdAt": "2025-05-23T00:01:02.829Z", "description": "![Automated Resume Job Matching Engine.png](fileId:1368)\n\n### Notice\nCommunity nodes can only be installed on self-hosted instances of n8n.\n\n### Who this is for\nThe Automated Resume Job Matching Engine is an intelligent workflow designed for career platforms, HR tech startups, recruiting firms, and AI developers who want to streamline job-resume matching using real-time data from LinkedIn and job boards.\n\nThis workflow is tailored for:\n\n- **HR Tech Founders** - Building next-gen recruiting products\n\n- **Recruiters & Talent Sourcers** - Seeking automated candidate-job fit evaluation\n\n- **Job Boards & Portals** - Enriching user experience with AI-driven job recommendations\n\n- **Career Coaches & Resume Writers** - Offering personalized job fit analysis\n\n- **AI Developers** - Automating large-scale matching tasks using LinkedIn and job data\n\n### What problem is this workflow solving?\nManually matching a resume to job description is time-consuming, biased, and inefficient. Additionally, accessing live job postings and candidate profiles requires overcoming web scraping limitations.\n\nThis workflow solves:\n\n- Automated LinkedIn profile and job post data extraction using Bright Data MCP infrastructure\n\n- Semantic matching between job requirements and candidate resume using OpenAI 4o mini\n\n- Pagination handling for high-volume job data\n\n- End-to-end automation from scraping to delivery via webhook and persisting the job matched response to disk\n\n### What this workflow does\n\n**Bright Data MCP for Job Data Extraction**\n- Uses Bright Data MCP Clients to extract multiple job listings (supports pagination)\n\n- Pulls job data from LinkedIn with the pre-defined filtering criteria's\n\n**OpenAI 4o mini LLM Matching Engine**\n- Extracts paginated job data from the Bright Data MCP extracted info via the MCP scrape_as_html tool.\n\n- Extracts textual job description information via the scraped job information by leveraging the Bright Data MCP scrape_as_html tool.\n\n- AI Job Matching node handles the job description and the candidate resume compare to generate match scores with insights\n\n**Data Delivery**\n- Sends final match report to a Webhook Notification endpoint\n\n- Persistence of AI matched job response to disk \n\n### Pre-conditions\n\n1. Knowledge of Model Context Protocol (MCP) is highly essential. Please read this blog post - [model-context-protocol](https://www.anthropic.com/news/model-context-protocol)\n2. You need to have the [Bright Data](https://brightdata.com/) account and do the necessary setup as mentioned in the **Setup** section below.\n3. You need to have the Google Gemini API Key. Visit [Google AI Studio](https://aistudio.google.com/)\n3. You need to install the Bright Data MCP Server [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp)\n4. You need to install the [n8n-nodes-mcp](https://github.com/nerding-io/n8n-nodes-mcp)\n\n### Setup\n\n1. Please make sure to setup n8n locally with MCP Servers by navigating to [n8n-nodes-mcp](https://github.com/nerding-io/n8n-nodes-mcp)\n2. Please make sure to install the Bright Data MCP Server [@brightdata/mcp](https://www.npmjs.com/package/@brightdata/mcp) on your local machine.\n2. Sign up at [Bright Data](https://brightdata.com/).\n3. Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.\n4. Create a Web Unlocker proxy zone called mcp_unlocker on Bright Data control panel.\n5. In n8n, configure the OpenAi account credentials.\n6. In n8n, configure the credentials to connect with MCP Client (STDIO) account with the Bright Data MCP Server as shown below.\n![MCPClientAccount.png](fileId:1367)\nMake sure to copy the Bright Data API_TOKEN within the Environments textbox above as API_TOKEN=<your-token>.\n7. Update the Set input fields for candidate resume, keywords and other filtering criteria's.\n8. Update the Webhook HTTP Request node with the Webhook endpoint of your choice.\n9. Update the file name and path to persist on disk.\n\n### How to customize this workflow to your needs\n\n**Target Different Job Boards**\n\n- Set input fields with the sites like Indeed, ZipRecruiter, or Monster\n\n**Customize Matching Criteria**\n- Adjust the prompt inside the AI Job Match node\n\n- Include scoring metrics like skills match %, experience relevance, or cultural fit\n\n**Automate Scheduling**\n- Use a Cron Node to periodically check for new jobs matching a profile\n\n- Set triggers based on webhook or input form submissions\n\n**Output Customization**\n- Add Markdown/PDF formatting for report summaries\n\n- Extend with Google Sheets export for internal analytics\n\n**Enhance Data Security**\n- Mask personal info before sending to external endpoints\n\n", "workflow": { "id": "gIdIv8qN7zruqLbG", "meta": { "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40", "templateCredsSetupCompleted": true }, "name": "Automated Resume Job Matching Engine with Bright Data & OpenAI 4o mini", "tags": [ { "id": "Kujft2FOjmOVQAmJ", "name": "Engineering", "createdAt": "2025-04-09T01:31:00.558Z", "updatedAt": "2025-04-09T01:31:00.558Z" }, { "id": "ZOwtAMLepQaGW76t", "name": "Building Blocks", "createdAt": "2025-04-13T15:23:40.462Z", "updatedAt": "2025-04-13T15:23:40.462Z" }, { "id": "ddPkw7Hg5dZhQu2w", "name": "AI", "createdAt": "2025-04-13T05:38:08.053Z", "updatedAt": "2025-04-13T05:38:08.053Z" }, { "id": "rKOa98eAi3IETrLu", "name": "HR", "createdAt": "2025-04-13T04:59:30.580Z", "updatedAt": "2025-04-13T04:59:30.580Z" } ], "nodes": [ { "id": "a75e1f8d-9dd4-4c87-b1ab-05c502b8cae7", "name": "Loop Over Items", "type": "n8n-nodes-base.splitInBatches", "position": [ 736, 115 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "92f0272d-dc5d-4424-9d96-cc2521e8a4ae", "name": "When clicking β€˜Test workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ -740, 115 ], "parameters": {}, "typeVersion": 1 }, { "id": "3820c9d3-be68-4a60-a810-943a9795bdbd", "name": "List all tools for Bright Data", "type": "n8n-nodes-mcp.mcpClient", "position": [ -520, 115 ], "parameters": {}, "credentials": { "mcpClientApi": { "id": "credential-id", "name": "mcpClientApi Credential" } }, "typeVersion": 1 }, { "id": "83219c20-7341-4e42-8cae-cc2e1e8e9b8e", "name": "Set the Input fields", "type": "n8n-nodes-base.set", "position": [ -300, 115 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "214e61a0-3587-453f-baf5-eac013990857", "name": "resume", "type": "string", "value": "I am Pechi, Senior Python Developer with 9+ years of experience." }, { "id": "98c64f52-1564-4889-811d-39cac3951cc3", "name": "keywords", "type": "string", "value": "Python" }, { "id": "34202143-4b07-4301-b5e9-767430952214", "name": "location", "type": "string", "value": "India" }, { "id": "47d01515-302b-4a91-b9db-3af0033a56e1", "name": "job_search_base_url", "type": "string", "value": "https://www.linkedin.com/jobs/search/" } ] } }, "typeVersion": 3.4 }, { "id": "40a70c2b-5dcc-44f7-8fde-9c28748181cd", "name": "Bright Data MCP Client For Jobs Extraction", "type": "n8n-nodes-mcp.mcpClient", "notes": "Scrape a single webpage URL with advanced options for content extraction and get back the results in MarkDown language.", "position": [ -80, 115 ], "parameters": { "toolName": "scrape_as_html", "operation": "executeTool", "toolParameters": "={\n \"url\": \"{{ $json.job_search_base_url }}?keywords={{ $json.keywords }}&location={{ $json.location }}\"\n} " }, "credentials": { "mcpClientApi": { "id": "credential-id", "name": "mcpClientApi Credential" } }, "notesInFlow": true, "typeVersion": 1 }, { "id": "ff3193e5-cd22-40f4-8180-b76ad32055b3", "name": "Split Out", "type": "n8n-nodes-base.splitOut", "position": [ 516, 115 ], "parameters": { "options": {}, "fieldToSplitOut": "output" }, "typeVersion": 1 }, { "id": "cd1fcbd8-acf3-4a91-8158-f664aaa839e7", "name": "Bright Data MCP Client For Jobs Extraction within a Loop", "type": "n8n-nodes-mcp.mcpClient", "notes": "Scrape a single webpage URL with advanced options for content extraction and get back the results in MarkDown language.", "position": [ 956, -10 ], "parameters": { "toolName": "scrape_as_html", "operation": "executeTool", "toolParameters": "={\n \"url\": \"{{ $json.output }}\"\n} " }, "credentials": { "mcpClientApi": { "id": "credential-id", "name": "mcpClientApi Credential" } }, "notesInFlow": true, "typeVersion": 1 }, { "id": "d9f78a12-9eaa-4d9b-9e5c-5150d6e40e95", "name": "Job Desc Information Extractor", "type": "@n8n/n8n-nodes-langchain.informationExtractor", "position": [ 1176, -10 ], "parameters": { "text": "=Extract the job description in a textual format\n\nHere's the content: {{ $json.result.content[0].text }}", "options": {}, "attributes": { "attributes": [ { "name": "job_description", "description": "Job Description" } ] } }, "retryOnFail": true, "typeVersion": 1 }, { "id": "4636d7e9-8d13-4f57-95f9-936f6d8bbf1d", "name": "AI Job Match", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 1552, -10 ], "parameters": { "text": "=Hi, you are a helpful job matcher, you analyze the given resume and job description and providing a job matching skills and score in a JSON format.\n\nHere's the Resume:\n{{ $('Set the Input fields').item.json.resume }}\n\nHere's the Job Desc:\n\n{{ $json.output.job_description }}", "promptType": "define", "hasOutputParser": true }, "retryOnFail": true, "typeVersion": 1.6 }, { "id": "51b5d9dd-b0c8-4aaf-b789-f96e94519b94", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 1720, 200 ], "parameters": { "jsonSchemaExample": "{\n \"job_match_analysis\": {\n \"resume_summary\": \"Senior Python Developer with 9+ years of experience.\",\n \"job_description_summary\": \"Seeking a developer with expertise in Sagemaker, Python, and LLM. The role involves client interaction, requirements understanding, design review, architecture validation, and team leadership.\",\n \"skill_match\": [\n {\n \"skill\": \"python\",\n \"resume\": \"Strong match - explicitly mentioned as core skill.\",\n \"job_description\": \"Strong match - listed as a primary skill.\",\n \"score\": 100\n },\n {\n \"skill\": \"sagemaker\",\n \"resume\": \"No match - not mentioned in the resume.\",\n \"job_description\": \"Strong match - listed as a primary skill.\",\n \"score\": 0\n },\n {\n \"skill\": \"llm\",\n \"resume\": \"No match - not mentioned in the resume.\",\n \"job_description\": \"Strong match - listed as a primary skill.\",\n \"score\": 0\n },\n {\n \"skill\": \"leadership\",\n \"resume\": \"Implicit match - Senior role implies leadership experience.\",\n \"job_description\": \"Explicit match - requires leading and guiding teams.\",\n \"score\": 75\n },\n {\n \"skill\": \"client_interaction\",\n \"resume\": \"No explicit mention, inferred from senior role.\",\n \"job_description\": \"Explicit match - requires interfacing with clients.\",\n \"score\": 50\n }\n ],\n \"overall_match_score\": 45,\n \"rationale\": \"The candidate's core skill (Python) is a strong match. The resume implies leadership skills, aligning with the job's team leadership requirements. However, the absence of Sagemaker and LLM experience significantly lowers the overall score. The candidate needs to demonstrate experience in these areas for a higher match.\",\n \"recommendations\": [\n \"Highlight any experience (even if limited) with Sagemaker or LLMs in the resume.\",\n \"Quantify Python experience with specific projects and technologies used.\",\n \"Emphasize any client-facing experience or responsibilities in previous roles.\",\n \"Showcase leadership experience with specific examples (e.g., mentoring junior developers, leading project teams).\"\n ]\n }\n}\n" }, "typeVersion": 1.2 }, { "id": "1dcb1ca7-e4e9-4775-9eb8-94c9e1f89e64", "name": "Create a binary data for AI Job Match", "type": "n8n-nodes-base.function", "position": [ 1928, -60 ], "parameters": { "functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;" }, "typeVersion": 1 }, { "id": "da19ddc2-5e0f-4a4a-b524-1086b59c511f", "name": "Webhook Notification for AI Job Match", "type": "n8n-nodes-base.httpRequest", "position": [ 1928, 215 ], "parameters": { "url": "https://webhook.site/7b5380a0-0544-48dc-be43-0116cb2d52c2", "options": {}, "sendBody": true, "contentType": "multipart-form-data", "bodyParameters": { "parameters": [ { "name": "job_match_response", "value": "={{ $json.output.job_match_analysis.toJsonString() }}" } ] } }, "typeVersion": 4.2 }, { "id": "0561839e-9ca9-4c18-9a9e-98b9a1f796fc", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 640, -320 ], "parameters": { "width": 440, "height": 120, "content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client." }, "typeVersion": 1 }, { "id": "d68fd51a-d74f-4236-89e1-6144f9e80943", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -300, -140 ], "parameters": { "color": 5, "width": 440, "height": 220, "content": "## LLM Usages\n\nOpenAI 4o mini LLM is being utilized for the structured data extraction handling." }, "typeVersion": 1 }, { "id": "29342cc1-10dd-490c-b274-fd5a82dbae1e", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 640, -160 ], "parameters": { "color": 3, "width": 1660, "height": 620, "content": "## Bright Data MCP Job Extract via Job Listings\nExtract job information via BrightData MCP and then perform the AI Job matching by utilizing the OpenAI GPT 4o mini LLM" }, "typeVersion": 1 }, { "id": "25d7b451-0f5e-4694-a821-ea7fe93b7d6f", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -740, -700 ], "parameters": { "color": 7, "width": 400, "height": 400, "content": "## Logo\n\n\n![logo](https://images.seeklogo.com/logo-png/43/1/brightdata-logo-png_seeklogo-439974.png)\n" }, "typeVersion": 1 }, { "id": "02e69f64-f7b4-4a0d-828c-3fcea324268e", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -740, -240 ], "parameters": { "width": 400, "height": 320, "content": "## Note\n\nDeals with the LinkedIn profile data extraction by utilizing the Bright Data MCP and OpenAI GPT 4o LLM.\n\n**Please make sure to set the input fields node with the LinkedIn profile URL with the resume, location, keywords etc.\n\nPlease make sure to update the Webhook Notification URL of your interest**" }, "typeVersion": 1 }, { "id": "cb84eebb-4215-4bb3-91f6-bf7897a8ddf6", "name": "OpenAI Chat Model for Job Desc Extract", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1264, 210 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "4d14c3a1-5402-4f27-beda-dba41c1aa912", "name": "OpenAI Chat Model for AI Job Match", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 1560, 200 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "2aec37e7-a67b-47b1-b3b2-7ea7e114bfff", "name": "Write the AI job matched response to disk", "type": "n8n-nodes-base.readWriteFile", "position": [ 2148, -60 ], "parameters": { "options": {}, "fileName": "=d:\\Job-Match-{{$now.toSeconds()}}.json", "operation": "write" }, "typeVersion": 1 }, { "id": "af980102-85d0-4f90-842f-196605f6bcd6", "name": "Paginated Job Data Extractor", "type": "@n8n/n8n-nodes-langchain.informationExtractor", "position": [ 140, 115 ], "parameters": { "text": "=Extract all the job links from the provided content. \n\nHere's the content: {{ $json.result.content[0].text }}", "options": {}, "schemaType": "manual", "inputSchema": "{\n\t\"type\": \"array\",\n\t\"properties\": {\n\t\t\"link\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}" }, "retryOnFail": true, "typeVersion": 1 }, { "id": "cb8e32c9-c1ac-4441-a42a-42e6b0d78970", "name": "OpenAI Chat Model for Paginated Job Extract", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 228, 335 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "b366450e-b10e-412e-b442-a0827ca430bb", "connections": { "Split Out": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "AI Job Match": { "main": [ [ { "node": "Create a binary data for AI Job Match", "type": "main", "index": 0 }, { "node": "Webhook Notification for AI Job Match", "type": "main", "index": 0 } ] ] }, "Loop Over Items": { "main": [ [], [ { "node": "Bright Data MCP Client For Jobs Extraction within a Loop", "type": "main", "index": 0 } ] ] }, "Set the Input fields": { "main": [ [ { "node": "Bright Data MCP Client For Jobs Extraction", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "AI Job Match", "type": "ai_outputParser", "index": 0 } ] ] }, "Paginated Job Data Extractor": { "main": [ [ { "node": "Split Out", "type": "main", "index": 0 } ] ] }, "Job Desc Information Extractor": { "main": [ [ { "node": "AI Job Match", "type": "main", "index": 0 } ] ] }, "List all tools for Bright Data": { "main": [ [ { "node": "Set the Input fields", "type": "main", "index": 0 } ] ] }, "When clicking β€˜Test workflow’": { "main": [ [ { "node": "List all tools for Bright Data", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model for AI Job Match": { "ai_languageModel": [ [ { "node": "AI Job Match", "type": "ai_languageModel", "index": 0 } ] ] }, "Create a binary data for AI Job Match": { "main": [ [ { "node": "Write the AI job matched response to disk", "type": "main", "index": 0 } ] ] }, "Webhook Notification for AI Job Match": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, 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"count": 1 }, "n8n-nodes-base.manualTrigger": { "count": 1 }, "n8n-nodes-base.readWriteFile": { "count": 1 }, "n8n-nodes-base.splitInBatches": { "count": 1 }, "@n8n/n8n-nodes-langchain.chainLlm": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 3 }, "@n8n/n8n-nodes-langchain.informationExtractor": { "count": 2 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "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": 14, "icon": "fa:code", "name": "n8n-nodes-base.function", "codex": { "data": { "alias": [ "Code", "Javascript", "Custom Code", "Script", "cpde" ], "details": "The Function node allows you to execute JavaScript in your workflow. Unlike the Function Item node, this node does not operate on incoming node data per-item. Instead, you must iterate over multiple items of incoming data yourself. This can be useful if you're performing data transformation where you want to manipulate the number of items being outputted by the node (i.e. 1 item is inputted in with nested object, 10 items are outputted without any nested objects)", "resources": { "generic": [ { "url": "https://n8n.io/blog/2021-goals-level-up-your-vocabulary-with-vonage-and-n8n/", "icon": "🎯", "label": "2021 Goals: Level Up Your Vocabulary With Vonage and n8n" }, { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "β˜€οΈ", "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" }, 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