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comparison August 12, 2026 · 6 min read

LinkedIn Scraping Tools Compared: Which Actor for Which Job

Five LinkedIn actors covering companies, employees, profiles, jobs, and posts. They are not competing for the same query, they are five stages of one sourcing pipeline. A field-by-field look at what each returns and how they chain together.

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LinkedIn has no public API for any of this. Every one of the five actors below reads publicly visible pages with no login, no cookies, and no LinkedIn account, but that is where the similarity ends. They are not five ways to answer the same question. They are five different questions: which companies, who works there, what do we know about one of them, are they hiring, and what are they saying publicly. Treating them as competing options misses that most real sourcing work needs three or four of them chained together, not one picked over the rest.

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This post compares LinkedIn Company Scraper, LinkedIn Employees Scraper, LinkedIn Profile Scraper, LinkedIn Jobs Scraper, and LinkedIn Post Scraper on what each targets, what it returns, and how they fit together.

What Each One Targets

Company Scraper takes a LinkedIn company URL and returns firmographics: industry, employee count range, headquarters, founding year, website, follower count, about text, and specialties. It answers “what is this company,” not “who works there.”

Employees Scraper takes a company name or LinkedIn URL and returns the people: name, current title, location, and profile URL for everyone visible on that company’s People page. LinkedIn itself caps public visibility at 1,000 employees per company page without login, so a 50,000-person enterprise returns whatever LinkedIn surfaces publicly, not the full headcount.

Profile Scraper takes a list of individual profile URLs and returns depth on each one: headline, location, about section, work experience, education history, skills, and connection count. This is the enrichment step, run after Employees Scraper has narrowed a list down to the people worth a closer look.

Jobs Scraper takes a keyword and location and returns open job listings: title, company, location, posting date, job type, seniority level, and applicant count. It answers a different question entirely from the other four: not who works at a company today, but what a company is actively hiring for right now, which is itself a signal about growth, budget, and priorities.

Post Scraper takes a keyword and returns matching public posts: author name, headline, profile URL, post URL, and a snippet. It works differently from the other four under the hood. Rather than reading LinkedIn’s own pages directly, it uses Google’s index of LinkedIn posts as the data surface, which is why no LinkedIn login or cookies are ever required for it, the same as the others, but for a structurally different reason.

Field-by-Field Comparison

CompanyEmployeesProfileJobsPosts
InputCompany URLCompany name or URLProfile URL listKeyword + locationKeyword
Target unitOne companyPeople at one companyOne individualOne job listingOne public post
Access methodDirect public pageDirect public pageDirect public pageDirect public searchGoogle index of LinkedIn
Key fieldsIndustry, HQ, founded year, employee range, followersName, title, location, profile URLExperience, education, skills, connectionsTitle, seniority, applicant countAuthor, headline, post snippet
Price per 1,000$4$2$4$3 ($0.003/job)$2 ($0.002/post)

How They Chain Together

A company-to-decision-maker sourcing pipeline runs through these in a fairly natural order. Start with Company Scraper to confirm a target company still matches the criteria (employee range, industry) before spending anything on the people inside it. Run Employees Scraper against that company to get the People page, filtered by a title keyword like “VP” or “Head of,” to narrow a few thousand employees down to the handful worth individual attention. Take that narrowed list into Profile Scraper for the enrichment pass, since experience and skills data on the full list would cost four times as much as company data and isn’t worth paying for on names you’re about to discard anyway.

Jobs Scraper sits outside that chain as a signal source rather than a contact source. A company posting ten open engineering roles is a company with budget and urgency, which is worth knowing before an outreach sequence starts, but the job listing itself doesn’t carry a name to contact. Post Scraper plays a similar outside role: searching for a target company’s name or a decision-maker’s own name in post content surfaces what they’re publicly saying, which is useful context for a first message, but it’s timing and talking-point research, not a lead source on its own.

Which One for Which Job

Company research and qualification starts and often ends with Company Scraper. If the firmographics don’t match a target profile, there’s no reason to spend on the people or jobs data behind it.

B2B lead lists and org chart mapping is Employees Scraper’s job specifically. It’s also the cheapest of the five per result, which matters when the first pass is broad and the narrowing happens downstream.

Contact enrichment on a shortlist is what Profile Scraper is for, not a first-pass tool. Running it against every employee at a target company costs twice what Employees Scraper does per result, for depth that only matters once a shortlist exists.

Growth and hiring-signal tracking is Jobs Scraper’s lane. Running it on a schedule against a target account list turns open roles into a proxy for budget and urgency without needing a contact at the company at all.

Social listening and outreach timing is what Post Scraper adds that nothing else here does. It’s the only one of the five that surfaces what someone is actually saying in public, which is context no firmographic or org-chart field can provide.

Frequently Asked Questions

Does any of these require a LinkedIn account or Sales Navigator?

No. All five read publicly visible LinkedIn data with no account, cookies, or Sales Navigator subscription required. Sales Navigator’s paid search and filtering is a different, account-gated product these actors don’t touch.

Can I filter Employees Scraper by job title or department?

Yes. Pass a keyword filter, such as “engineer” or “sales,” to narrow results to employees whose title matches. Full department-level filtering matches what LinkedIn’s own public search shows.

How many employees can I get per company?

Up to 1,000 per company, which is LinkedIn’s own public visibility cap on a company’s People page without login. Employees Scraper retrieves everything visible; enterprises with tens of thousands of employees will be capped at whatever LinkedIn surfaces publicly, not the true headcount.

Why does Post Scraper work differently from the other four?

It reads Google’s index of LinkedIn posts rather than LinkedIn’s own pages directly, which is a different technical surface entirely. That’s also why it can search post content by keyword in a way the other four, which target a specific company, person, or job search, are not built to do.

Is there a cheaper way to just get an org chart without paying for full profile enrichment?

Yes. Employees Scraper alone, at $2 per 1,000 results, returns name, title, and location, enough for a basic org chart. Profile Scraper’s added depth, experience history, education, and skills, costs twice as much and is worth running only on the specific people a downstream workflow actually needs enriched.

Related Actor

Explore the scraper referenced in this article: inputs, outputs, and pricing, then run it on Apify.