# Scrape LinkedIn · Public profiles, companies and jobs

> Turn public LinkedIn pages into structured data: profiles, company pages and job postings. One call per URL, at scale, public data only, with Fetch.

## The graph, as data.

People, companies and jobs, all connected. Fetch reads the public pages and hands each one back as a typed record.

Staff Engineer · Stripe

## One API, three entities.

Profiles, companies and jobs each come back with their own clean shape. Same call, same typed records.

{ "name" : "Ana Ruiz" , "headline" : "Staff Engineer at Stripe" , "company" : "Stripe" , "location" : "Berlin, DE" , "connections" : "500+" , "skills" : [ "Go" , "Distributed systems" ] } { "name" : "Stripe" , "industry" : "Financial software" , "size" : "5,001-10,000" , "hq" : "South San Francisco, US" , "founded" : 2010 , "followers" : 1240000 } { "title" : "Senior Backend Engineer" , "company" : "Stripe" , "location" : "Remote, EU" , "type" : "Full-time" , "posted" : "3 days ago" , "applicants" : 87 } A career, parsed. Scroll the experience section on the left. Each role scrapes into the array on the right as it passes.

Staff Engineer

Stripe · Berlin

2023 – present

Senior Engineer

Datadog · New York

2020 – 2023

Software Engineer

GitLab · Remote

2017 – 2020

BSc Computer Science

TU Berlin

2013 – 2017

[ { "role" : "Staff Engineer" , "company" : "Stripe" , "from" : 2023 , "to" : "now" }, { "role" : "Senior Engineer" , "company" : "Datadog" , "from" : 2020 , "to" : 2023 }, { "role" : "Software Engineer" , "company" : "GitLab" , "from" : 2017 , "to" : 2020 }, { "role" : "BSc Computer Science" , "company" : "TU Berlin" , "from" : 2013 , "to" : 2017 } ] The hardest public site to read. No site fights automated reading harder. Fetch clears the public surface, and stays on the public surface.

Auth walls

Guest views throttle and redirect fast. A real browser reads the public page cleanly.

Aggressive limits

Repeat hits get flagged within a few requests. Each call runs from fresh egress.

Everything is JS

The page assembles client-side. It renders fully before the record is read.

Fetch reads only public pages , the same ones anyone sees logged out. No logins, no private data, no connections behind a wall.

## Map the whole market.

One profile or a whole industry, companies and open roles included. Structured LinkedIn data, without the parsing or the blocks.

What teams build with it

_Canonical HTML: https://www.zenrows.com/scrape/linkedin_

## Site Navigation

### Global Hub
- [Home](https://www.zenrows.com/index.md)
- [Pricing](https://www.zenrows.com/pricing.md)
- [Products](https://www.zenrows.com/products.md)
- [Agent Toolkit](https://www.zenrows.com/agents.md)
- [Compare](https://www.zenrows.com/compare.md)
- [Alternatives](https://www.zenrows.com/alternatives.md)
- [Blog](https://www.zenrows.com/blog)
- [Docs](https://docs.zenrows.com)
- [llms.txt](https://www.zenrows.com/llms.txt)
- [Agent skill](https://www.zenrows.com/SKILL.md)

### On This Topic
- [Scrape](https://www.zenrows.com/scrape.md)
- [Scrape Amazon](https://www.zenrows.com/scrape/amazon.md)
- [Scrape Zillow](https://www.zenrows.com/scrape/zillow.md)
- [Scrape Idealista](https://www.zenrows.com/scrape/idealista.md)
- [Scrape eBay](https://www.zenrows.com/scrape/ebay.md)
- [Scrape Google](https://www.zenrows.com/scrape/google.md)