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Scrape LinkedIn Profile

The Scrape LinkedIn Profile block retrieves publicly available data from a LinkedIn profile page given its URL.

Scrape public data from any LinkedIn profile

The Scrape LinkedIn Profile block retrieves publicly available data from a LinkedIn profile page given its URL. You provide a LinkedIn profile URL in the format https://www.linkedin.com/in/username, and the block fetches the profile's structured data, storing the result in a variable you specify via the destinationVar field.

The block returns a wide range of profile fields, including the person's full name, headline, location, follower and connection counts, about section, work experience, education, articles, activities, certifications, languages, projects, awards, publications, and more. The output is delivered as formatted text stored in the profile output variable, which can then be referenced by downstream blocks in your workflow.

This block fits into workflows that involve researching individuals, qualifying leads, enriching contact records, or aggregating professional background data. It is commonly used alongside AI processing blocks that summarize or analyze the scraped profile content, or with data storage blocks that write the results to a database or spreadsheet.

What you can build

Real-world workflows powered by the Scrape LinkedIn Profile block.

Lead Qualification Workflows

Automatically pull profile data for inbound leads and use downstream AI blocks to assess fit based on job title, experience, and location.

Sales Outreach Personalization

Scrape a prospect's LinkedIn profile to extract their headline and recent activity, then feed that data into a message-generation block for personalized outreach.

Candidate Research Automation

Retrieve education, experience, and certification data from candidate profiles to support recruiting or hiring decision workflows.

Contact Record Enrichment

Enrich CRM contact records by scraping LinkedIn profile fields such as location, employer, and follower count and writing them to a database block.

Thought Leadership Tracking

Collect articles and activity data from a set of LinkedIn profiles to monitor publishing behavior or content themes over time.

Competitive Intelligence Gathering

Scrape profiles of employees at a target company to surface patterns in background, skills, and organizational structure.

Ready to add Scrape LinkedIn Profile to your workflow?

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Common questions about Scrape LinkedIn Profile

What is the required input for this block?

The block requires a LinkedIn profile URL in the format https://www.linkedin.com/in/username. You can also specify an optional destinationVar to name the variable where the scraped data will be stored.

What data does the block return?

The block returns a profile output variable containing formatted text that includes fields such as full name, headline, location, followers, connections, about text, work experience, education, articles, activities, certifications, languages, projects, awards, publications, courses, organizations, and similar profiles.

Does this block only work with public LinkedIn profiles?

Yes. The block is described as scraping public profile data, meaning it only retrieves information that is publicly visible on a LinkedIn profile page.

What kinds of workflows commonly use this block?

This block is commonly used in lead research, sales personalization, recruiting, and contact enrichment workflows. It is typically paired with AI processing blocks that analyze or summarize the profile data, or with storage blocks that write results to a database or spreadsheet.

How is the scraped data made available to other blocks in the workflow?

The scraped profile data is stored as formatted text in the variable specified by destinationVar. That variable can then be referenced by any downstream block in the workflow.

Add Scrape LinkedIn Profile to your workflow

Build powerful AI workflows with drag-and-drop blocks. No coding required.