AI Agent: LinkedIn Profile Extractor & JSON Resume Builder with Google Gemini

Unlock Automated Candidate Profiling & Data Enrichment with this AI Agent

This AI Agent transforms the tedious task of manual LinkedIn profile review and data entry into a streamlined, automated process. It's designed for founders, CTOs, and automation leaders who need to efficiently gather, structure, and utilize professional data from LinkedIn. Whether you're in recruitment, sales, or market research, this agent provides a powerful way to build structured datasets from public LinkedIn profiles.

At its core, this agent uses Bright Data's robust infrastructure to reliably access LinkedIn profile pages, bypassing common scraping hurdles. Then, it employs Google Gemini's advanced language understanding to intelligently parse the profile content, extracting key information like experience, education, skills, and more. The final output is a clean, standardized JSON resume, ready for integration into your Applicant Tracking Systems (ATS), Customer Relationship Management (CRM) tools, or any other data pipeline.

AI-driven Abilities

• LinkedIn Data Extraction: Leverages Bright Data for reliable scraping of LinkedIn profiles.
• Intelligent Content Parsing: Utilizes Google Gemini LLM to understand and extract relevant information from unstructured profile text.
• Structured Resume Generation: Automatically converts extracted data into a standards-compliant JSON Resume format, including a separate skills list.

Key Features & Benefits

• Reliable Scraping: Uses Bright Data's Web Unlocker to ensure consistent access to LinkedIn profiles, minimizing issues with CAPTCHAs and blocks.
• AI-Powered Structuring: Google Gemini accurately identifies and structures professional details, saving hours of manual data entry and ensuring data quality.
• Standardized Output: Generates JSON resumes following a recognized schema, making it easy to integrate with other systems and tools.
• Webhook & Local Storage: Sends the generated JSON resume to a specified webhook for real-time processing and saves a local copy for backup or batch operations.
• Customizable & Extensible: Easily adapt the workflow to translate profiles, generate PDF resumes, push data to various platforms (ATS, CRM), or even swap in different LLMs like OpenAI or Claude.

• An n8n instance (Cloud or self-hosted).
• A Bright Data account with an active Web Unlocker zone and API token.
• A Google Gemini API Key (or access configured via Vertex AI or a proxy).

1. Download the n8n workflow JSON file (linkedin-profile-to-json-resume-agent-v1.0.0.json).
2. Import the workflow into your n8n instance.
3. Sign up at Bright Data.
4. In your Bright Data dashboard, navigate to 'Proxies & Scraping Infrastructure', then 'Scraping Infrastructure'. Create a new 'Web Unlocker' zone. Note your API token.
5. In n8n, create a new 'Header Auth' credential for Bright Data:
   • Navigate to Credentials > New.
   • Search for and select 'Header Auth'.
   • Set a 'Credential Name' (e.g., BrightData_Token).
   • For the 'Name' field (header name), enter Authorization.
   • For the 'Value' field (header value), enter Bearer YOUR_BRIGHTDATA_API_TOKEN. Replace YOUR_BRIGHTDATA_API_TOKEN with your actual token from Bright Data (step 4).
   • Save the credential.
6. In n8n, create a new 'Google Gemini (PaLM) API' credential:
   • Navigate to Credentials > New.
   • Search for and select 'Google Gemini (PaLM) API'.
   • Enter your Google Gemini API Key.
   • Save the credential.
7. Open the imported workflow in n8n. Locate the node(s) where input parameters like LinkedIn Profile URL, Bright Data Zone, and Webhook URL are set (often a 'Start' node, 'Set' node, or manual trigger). Configure these with your desired values. For testing webhooks, you can use a service like https://webhook.site/.
8. Ensure the HTTP Request node designated for Bright Data calls is configured to use the 'BrightData_Token' credential created in step 5.
9. Ensure the Google Gemini related nodes (e.g., 'Basic LLM Chain', 'Information Extractor') are configured to use the Google Gemini credential created in step 6.
10. Activate the workflow.