👥 LinkedIn profile extract and build JSON resume with Bright Data & Google Gemini
⚡ 6,724 views · 👥 HR & Recruitment
💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.
Description
Who this is for?
The LinkedIn Profile Extract and JSON Resume Builder is a powerful workflow that scrapes professional profile data from LinkedIn using Bright Data’s infrastructure, then transforms that data into a clean, structured JSON resume using Google Gemini. The workflow is ideal for automating resume parsing, candidate profiling, or integrating into recruiting platforms.
This workflow is tailored for:
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HR professionals & recruiters automating resume screening
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Talent acquisition platforms enriching candidate profiles
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Developers & AI builders creating resume-parsing AI pipelines
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Data scientists working on labor market analytics
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Growth hackers profiling prospects via public data
What problem is this workflow solving?
Parsing resumes or LinkedIn profiles into machine-readable formats is often a manual, error-prone process. Most scraping tools either fail due to anti-bot protections or return unstructured HTML that’s hard to work with.
This workflow solves that by:
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Using Bright Data’s Web Unlocker for reliable, CAPTCHA-free LinkedIn scraping
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Extracting clean text and structured profile data via Google Gemini LLM
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Automatically generating a standards-compliant JSON Resume and Skills
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Sending the resume to webhooks or storing it for downstream usage
What this workflow does
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Accepts LinkedIn Profile URL and required metadata (Bright Data zone, webhook)
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Scrapes LinkedIn profile using Bright Data Web Unlocker
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Extracts clean content and skills using Google Gemini LLM
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Builds a JSON-formatted resume following the JSON resume schema
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Sends the JSON resume via Webhook Notification
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Persists the output by saving the file to disk
Setup
- Sign up at Bright Data.
- Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.
- In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). Header Authentication.png The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.
- In n8n, configure the Google Gemini(PaLM) Api account with the Google Gemini API key (or access through Vertex AI or proxy).
- Update the Set URL and Bright Data Zone node with the LinkedIn profile, Bright Data Zone and the Webhook notification URL. For testing purposes, you can obtain a webhook url using https://webhook.site/
How to customize this workflow to your needs
Add Language Translation
Insert a translation LLM node to support multilingual profiles.
Generate PDF Resumes
Convert JSON to formatted PDF resumes using an HTML-to-PDF module.
Push to ATS or CRM
Add integration nodes to pipe data into applicant tracking systems (ATS), CRMs, or databases.
Use Alternative LLMs
Swap Gemini with OpenAI or Anthropic Claude if preferred.
🔗 Nodes Used
Function, HTTP Request, Basic LLM Chain, Read/Write Files from Disk, Google Gemini Chat Model, Information Extractor
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File