Scrape LinkedIn Company
The Scrape LinkedIn Company block retrieves publicly available data from a LinkedIn company page given its URL.
Scrape public company data from LinkedIn pages
The Scrape LinkedIn Company block retrieves publicly available data from a LinkedIn company page given its URL. You provide a LinkedIn company page URL — formatted like https://www.linkedin.com/company/mindstudioai — and the block fetches structured information about that company. An optional destination variable lets you store the result for use in later steps of your workflow.
The block returns a wide range of company profile fields, including the company name, industry, location, headquarters, founding year, company size, website, tagline, about text, and specialties. Beyond the core profile, it also returns lists of featured employees (with names, positions, photos, and profile URLs), recent company updates (with post text, dates, and like counts), similar companies, and affiliated companies.
This block fits into workflows that involve company research, lead enrichment, competitive analysis, or any process that needs to pull structured organizational data from LinkedIn. Because the output is stored as a variable, it can be passed directly into AI processing steps, formatted into reports, or used to populate databases within the same workflow.
What you can build
Real-world workflows powered by the Scrape LinkedIn Company block.
Lead Enrichment Pipeline
Automatically enrich a list of prospect companies by scraping their LinkedIn pages to populate fields like industry, size, headquarters, and website before passing data to a CRM.
Competitive Intelligence Reports
Gather profile data, recent updates, and similar companies from competitor LinkedIn pages to generate structured competitive analysis summaries.
Recruiting Research Automation
Pull employee listings from a target company's LinkedIn page to identify potential candidates by name, position, and profile URL.
Company News Monitoring
Retrieve recent company updates including post text, publication dates, and engagement counts to track what organizations are publicly announcing.
Investor Due Diligence
Collect founding year, company size, industry, specialties, and location data from LinkedIn to support structured due diligence workflows.
Partnership Discovery
Use the affiliated companies and similar companies output fields to identify potential partners or adjacent organizations in a given industry.
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Get Started FreeCommon questions about Scrape LinkedIn Company
What is the required input for this block?
The block requires a LinkedIn company page URL, such as https://www.linkedin.com/company/mindstudioai. An optional destination variable can be specified to store the scraped output for use in subsequent workflow steps.
What data does the block return?
The block returns a formatted text variable containing scraped company data. This includes fields such as company name, industry, location, headquarters, website, founding year, company size, tagline, about text, and specialties. It also includes arrays for employees (name, position, photo, profile URL), recent updates (text, date, likes, article details), similar companies, and affiliated companies.
What kinds of workflows is this block suited for?
This block is suited for workflows involving lead enrichment, competitive research, recruiting, company monitoring, and due diligence. Because the output is stored as a variable, it can be passed into AI summarization steps, used to populate structured data stores, or formatted into reports within the same workflow.
Does the block return employee data?
Yes. The block returns a list of employees associated with the company page, each including the employee's name, position, profile photo URL, and LinkedIn profile URL.
Can I access recent posts or updates from the company page?
Yes. The block returns an updates array that includes post text, publication date, total likes, and optional article title, subtitle, link, and image for each recent company update found on the page.
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