Pricing

from $2.80 / 1,000 profile — identity & current positions

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🔥 Linkedin Companies & Profiles Bulk Scraper

Try for free

Companies & Profiles Linkedin scraper. Get comprehensive profiles of individuals and companies based on your keywords and filters. Unleash the power of data! 🌐🔍

Pricing

from $2.80 / 1,000 profile — identity & current positions

Rating

3.3

(42)

Developer

Bebity

Actor stats

354

Bookmarked

16K

Total users

132

Monthly active users

13 hours

Issues response

a month ago

Last modified

Categories

Lead generation

Features

You can access the 🔥 Linkedin Companies & Profiles Bulk Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "description": "What to scrape: people profiles or companies.",
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          },
          "keywords": {
            "title": "🔍 Search terms, names or URLs",
            "type": "array",
            "description": "One bulk list. Each entry is either a SEARCH term (\"web developer\", \"John Doe\") — searched and capped by the limit — OR a DIRECT lookup: a full LinkedIn URL, or a \"/in/{slug}\" (profiles) / \"/company/{slug}\" (companies) path. Direct lookups return exactly one result each and ignore the limit. A bare slug WITHOUT the /in/ or /company/ marker is treated as a search term.",
            "default": [
              "web dev"
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              "type": "string"
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          },
          "limit": {
            "title": "🔢 Limit of results per search query",
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            "description": "Max rows per search term: limit=5 over 2 search terms returns up to 10 rows. Ignored for direct URLs/slugs — each is always scraped.",
            "default": 1
          },
          "location": {
            "title": "🌍 Location",
            "uniqueItems": true,
            "type": "array",
            "description": "Filter people-search results by location (get-profiles only). Type a place name (e.g. \"Paris\", \"United States\", \"Greater London\") — it is matched against LinkedIn's location autocomplete and the best match is used. Add several to widen the filter (matches ANY of them). You can also paste a raw LinkedIn geo id (e.g. 106383538) or geo URN to skip the lookup. Unrecognized entries are skipped with a warning.",
            "items": {
              "type": "string"
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          },
          "company": {
            "title": "🏢 Current company",
            "type": "string",
            "description": "Narrow a people search to members who currently work at this company — this is how you get the employees of a company. Accepts a company URL (https://www.linkedin.com/company/stripe/), its slug (stripe) or its name (Stripe); a URL or slug is the most reliable. Combines with keywords, location and job title. Ignored for company runs and for direct profile URLs."
          },
          "jobTitle": {
            "title": "💼 Job title",
            "type": "string",
            "description": "Narrow a people search to this job title, matched as an exact phrase (e.g. \"Data Scientist\"). Combines with keywords, location and current company."
          },
          "profileFields": {
            "title": "🧩 Profile data to scrape",
            "uniqueItems": true,
            "type": "array",
            "description": "Which profile sections to scrape (profiles only). Each option is one LinkedIn request — pick only what you need for faster, cheaper runs. Default is About (cheapest single section). Select all options to scrape the full profile. Base identity (name, headline, location, picture, follower/connection counts) is always returned.",
            "items": {
              "type": "string",
              "enum": [
                "about",
                "experience",
                "languages",
                "skills",
                "honors",
                "projects",
                "organizations",
                "courses",
                "publications",
                "contact"
              ],
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                "Experience / Education / Certifications / Volunteer",
                "Languages",
                "Skills",
                "Honors & awards",
                "Projects",
                "Organizations",
                "Courses",
                "Publications",
                "Contact info (websites, email if public)"
              ]
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🔥 Linkedin Companies & Profiles Bulk Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for 🔥 Linkedin Companies & Profiles Bulk Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

🔥 Linkedin Companies & Profiles Bulk Scraper API in Python

🔥 Linkedin Companies & Profiles Bulk Scraper API in JavaScript

🔥 Linkedin Companies & Profiles Bulk Scraper API through CLI

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