LinkedIn Search Scraper

Yes — a search result is public data. You get the same profiles, companies and posts any member sees when they run that search, and nothing behind a private wall. What you do with the list afterwards is on you. More in our legality guide.

Yes — you sync your own account through the Chrome extension. Cookies only, never your password, and we keep well inside LinkedIn's limits so your account stays quiet. Here is how to sync an account.

70 data fields, matched to what you searched. People arrive with name, headline, location, photo, connection degree and the premium and verified flags. Companies with industry, logo, followers and description. Posts with their full text, author, images and share link.

About 45 results a minute. People and company searches move quicker than posts, which carry a lot more text per row. Queue as many searches as you like and leave it running — nobody is watching the screen.

Just about anywhere you already work. Google Sheets, Make, n8n, Amazon S3, email, webhooks — plus our MCP server, so Claude or ChatGPT can start a run and read the results itself. CSV, Excel and JSON downloads too. See all integrations.

About 1,000 — that ceiling is LinkedIn's, not ours. Slice a bigger query into several searches by Location, Industry, Title or Network and run them side by side. Max Results caps one search, Max Unique Results Per Run caps the whole batch.

Yes — Keywords works on all three searches, with ten more filters on top. First Name, Last Name, Title, Company, Current Company URL, School, Network and Profile Language for people, Industry for companies, Location for both.

The whole profile behind every people result, for 1 extra credit per profile. The About text, current position, full experience and education, skills, the open-to-work and creator flags and the cover photo — everything a search card is too small to show.

The full company page, for 1 extra credit per company. Website, description, tagline, founding year, employee and follower counts, headquarters and offices, specialties, products and phone number — the whole About tab, in columns.

Like, comment and repost counts on every post, for 1 extra credit per post. A search tells you the post exists; this tells you whether anyone cared. Switch it on when you are ranking posts by reach rather than just collecting them.

URL, such as https://www.linkedin.com/search/results/people/?keywords=software%20engineer. Paste thousands at once or upload a CSV; duplicate inputs are skipped. 16 settings shape the run: see them in the playground.

70 data attributes per result, each with its description and an example: see the full list.

No. Duplicates are removed, and you only pay for unique results.

As fresh as your run: each run collects the data from the site at the moment it runs, nothing comes from a stored database.

CSV, Excel or JSON from the dashboard, through the API, or sent after every run to Google Sheets, Amazon S3, an SFTP server, a webhook or by email.

7 days on the free plan, 45 days on Starter and Pro, 90 days on Team and Business. Then they can no longer be downloaded. Download or deliver what you want to keep.

Around 45 results a minute for one squid. Your plan's slots run several squids at the same time.

100.00% of its runs had no incident over the last 90 days (0 incidents, 100% fixed). Every day is on this page.

Our team fixes the scraper: every scraper on lobstr.io is built and maintained by us. How we measure.

Yes, on paid plans: every hour, every day, every weekday or on a custom schedule, in your time zone.

Yes: set the most results per task and per run in the settings. The run stops there and so does the bill.

1 credit per result. Options add to it: Profile Details (people) +1, Company Details (companies) +1, Post Engagement (posts) +1. The playground shows the price as you pick them.

Yes. The free plan gives 100 credits every month, 100 results with this scraper, exported in full.

Every month a plan gives credits, which pay for results, and slots, which set how many squids run at the same time. Starter: $20 for 10,000 credits; Pro: $100 for 100,000 credits; Team: $500 for 1,000,000 credits. Upgrades start right away and are prorated; downgrades and cancellations take effect at the end of the cycle.

No. Your credits refresh every month with your plan.

You choose, per squid: pause and pick up where it stopped, or end the run. To keep going, upgrade or reset your billing cycle: your plan renews right away and your credits come back. Auto Billing Reset does it for you when your usage crosses a threshold you set.

Yes: paying yearly takes 20% off every plan.

A monthly plan: within 10 days of the charge, if no credit was used in that period. A yearly plan: within 30 days, in full if no credit was used, otherwise minus one month. Cancel from your billing page, then write to contact@lobstr.io. The details are in the terms of use.

Collecting publicly available data is generally allowed, but you choose what you collect and you are responsible for how you use it. Our terms of use (article 6) ask every user to respect the rights of the sites, not to extract substantial parts of a database, not to access confidential data and to follow personal data law such as the GDPR. This is not legal advice.

When results contain personal data, you are the data controller and lobstr.io, a French company, processes them on your behalf, under our personal data agreement. You need a lawful basis for what you collect, must inform the people concerned and honor their requests.

Results: 7 days on the free plan, 45 days on Starter and Pro, 90 days on Team and Business, then they can no longer be downloaded; you can delete them sooner. Your account data: see the privacy notice.

It depends on where the people are. In the EU, prospecting businesses by email is generally possible with an opt-out in every message, while consumers must have agreed first; calls follow each country’s do-not-call list. In the US, CAN-SPAM asks for your address and an opt-out in every email. This is not legal advice.

Yes, through the REST API at https://api.lobstr.io/v1, with your key from the dashboard. The playground’s Code tab writes the calls for your settings, in cURL and Python. The documentation has the full reference.

Yes. Add our MCP server, https://mcp.lobstr.io/mcp, to Claude, ChatGPT, Cursor or any MCP client and sign in with lobstr.io. Your agent shows the cost and asks you before a run spends credits. The playground’s Agent tab gives you a prompt.

No. Credits pay for results, not for requests.

Yes. Point a webhook at your server and lobstr.io calls it when a run succeeds or fails.

Yes, per endpoint: 120 requests a minute on squids and runs, 90 on tasks, 2 a second on results. Above that the API answers 429 with a Retry-After header.