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LinkedIn profile extract and build JSON resume with Bright Data & Google Gemini

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LinkedIn profile extract and build JSON resume with Bright Data & Google Gemini preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

  • HR automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.function, n8n-nodes-base.readwritefile

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.

Original n8n.io source

1.1 Workflow description

Title
LinkedIn profile extract and build JSON resume with Bright Data & Google Gemini
Workflow name
LinkedIn profile extract and build JSON resume with Bright Data & Google Gemini

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:

  • HR professionals & recruiters automating resume screening

  • Talent acquisition platforms enriching candidate profiles

  • Developers & AI builders creating resume-parsing AI pipelines

  • Data scientists working on labor market analytics

  • 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:

  • Using Bright Data's Web Unlocker for reliable, CAPTCHA-free LinkedIn scraping

  • Extracting clean text and structured profile data via Google Gemini LLM

  • Automatically generating a standards-compliant JSON Resume and Skills

  • Sending the resume to webhooks or storing it for downstream usage

What this workflow does

  • Accepts LinkedIn Profile URL and required metadata (Bright Data zone, webhook)

  • Scrapes LinkedIn profile using Bright Data Web Unlocker

  • Extracts clean content and skills using Google Gemini LLM

  • Builds a JSON-formatted resume following the JSON resume schema

  • Sends the JSON resume via Webhook Notification

  • 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). 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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Set URL and Bright Data Zone

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Perform Bright Data Web Request

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 4 - Markdown to Textual Data Extractor

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.6

Block 5 - Google Gemini Chat Model for Markdown to Textual

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 6 - Skill Extractor

Type / Role
@n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices
Version 1

Block 7 - Google Gemini Chat Model for Skill Extractor

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 8 - Create a binary data for Structured Data Extract

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 9 - Write the structured content to disk

Type / Role
n8n-nodes-base.readWriteFile - readWriteFile
Config choices
Version 1

Block 10 - Initiate a Webhook Notification for Structured Data

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 11 - Write the structured skills content to disk

Type / Role
n8n-nodes-base.readWriteFile - readWriteFile
Config choices
Version 1

Block 12 - Create a binary data for Structured Skill Extract

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 13 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 17 - JSON Resume Extractor

Type / Role
@n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices
Version 1

Block 18 - Google Gemini Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 19 - Code

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

3. Summary Table

Workflow LinkedIn profile extract and build JSON resume with Bright Data & Google Gemini
Complexity advanced
Nodes 19
Categories HR, AI Summarization
Author Ranjan Dailata
Published 04 Jun 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4653/4653.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does LinkedIn profile extract and build JSON resume with Bright Data & Google Gemini do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.