# LinkedIn Scraper (`blueskyscraper/linkedin-scraper`) Actor Scrape LinkedIn without login or cookies: full profiles with experience, education and skills, optional work e-mail, company pages with industry, size and followers, and the latest posts of companies and people. Export data, run via API, schedule runs or plug into AI workflows. - **URL**: https://apify.com/blueskyscraper/linkedin-scraper.md - **Developed by:** [BlueskyScraper](https://apify.com/blueskyscraper) (community) - **Categories:** Social media, Lead generation, Agents - **Stats:** 7 total users, 7 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.72 / 1,000 profiles This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README **LinkedIn Scraper** extracts LinkedIn data **without a login, cookies or an API key**: public **profiles** (headline, current company, location, about, education, followers), the person's **work e-mail** on request, **company pages** (website, industry, size, employees, followers, address) and the **latest posts** of companies and people. One Actor, three modes, pay only for rows with data β€” **from $1.6 per 1,000 posts and $3.2 per 1,000 profiles**. ### What is LinkedIn Scraper? A **LinkedIn scraper and LinkedIn data API** for lead generation, recruiting, market research and AI agents. Paste LinkedIn URLs or slugs, pick a mode, and get a clean table you can export to Excel, CSV or JSON, or read from Python and JavaScript. No official LinkedIn API access is needed and **your own LinkedIn account is never used**, so it cannot be restricted. - πŸ‘€ **Profiles** β€” the public profile of each person as LinkedIn shows it to logged-out visitors, optionally with a **work e-mail** found from the company's website. - 🏒 **Companies** β€” the company page with website, industry, size band, employees on LinkedIn, followers, headquarters, founded year, specialties and office locations. - πŸ“° **Posts** β€” the newest posts and reposts LinkedIn shows on company and personal pages, with likes, reactions, comments count, images, video, documents, link cards, mentions and hashtags; or single posts by URL with their top ~8–10 visible comments. ### What data can LinkedIn Scraper extract? | Mode | Fields | |---|---| | πŸ‘€ Profiles | `fullName`, `headline`, `company`, `companyLinkedinUrl`, `location`, `country`, `about`, `followers`, `connections`, `education`, `recommendations`, `certifications`, `languages`, `volunteering`, `publications`, `honorsAndAwards`, `website`, `imageUrl`, `similarProfiles` ("Other similar profiles"), and `title`, `experience`, `skills` when LinkedIn shows them | | πŸ“§ Work e-mail (option) | `email`, `emailGuess`, `confidence`, `emailStatus`, `emailDomainStatus`, `domain`, `domainEvidence`, `emailPattern`, `alternatives`, `emailProvider`, `summary` | | 🏒 Companies | `name`, `website`, `tagline`, `description`, `industry`, `companySize`, `employeesOnLinkedIn`, `followers`, `headquarters`, street address, `founded`, `companyType`, `specialties`, `locations`, `similarCompanies`, `affiliatedPages`, `companyId`, `coverImageUrl`, `jobsUrl`, `logoUrl`, `latestPosts` | | πŸ“° Posts | `postType`, `text`, `headline` (articles), `publishedAt`, `likes`, `comments` / `commentsCount`, `reactionsCount`, `topReactionTypes`, `images`, `videoUrl`, `documentTitle`, `articleTitle` / `articleUrl`, `hashtags`, `mentions`, `links`, `authorHeadline`, `isRepost` / `repostedAt` / `repostedBy`, `quotedPost`, `postUrl`, `activityId`, `sourceName`, `sourceType`, `sourceHeadline`, `sourceFollowers`, `topComments` (top ~8–10 visible comments β€” single post URLs, or with **Add top comments**); a free `notice` row when a page shows fewer posts than asked | ### πŸ’° How much does it cost to scrape LinkedIn? Pay per row with data, no start fee, proxies included: | Row | Price | |---|---| | **Profile** | $0.0032 β€” $3.2 per 1,000 | | **Profile with e-mail** (only when `email` is filled β€” confidence at or above your minimum, default `medium`) | $0.008 β€” $8 per 1,000 | | **Company** | $0.0032 β€” $3.2 per 1,000 | | **Post** (posts and articles) | $0.0016 β€” $1.6 per 1,000 | A profile row is billed either as *Profile* or as *Profile with e-mail*, never both. Error rows, hidden profiles and posts removed by your filters are free. Apify's free plan ($5 of monthly credit) covers about **1,500 profiles, 1,500 companies or 3,000 posts** a month. Paid Apify plans get tiered discounts automatically. ### How to scrape LinkedIn with LinkedIn Scraper 1. Click **Try for free** and open the **Input** tab. 2. Choose **What to get**: Profiles, Companies or Posts. 3. Paste LinkedIn profile URLs into **πŸ‘€ LinkedIn profiles** and / or company URLs into **🏒 LinkedIn companies** β€” or link a Google Sheet in **πŸ“„ URLs from a file or sheet**. 4. For profiles, switch on **πŸ“§ Find the work e-mail** if you need addresses. 5. Click **Start**, then export the table as Excel, CSV or JSON, or read it through the API. ### ⬇️ Input #### Profiles with work e-mail ```json { "mode": "profiles", "profileUrls": ["https://www.linkedin.com/in/kippbodnar", "wadefoster"], "findEmail": true } ``` #### Company pages ```json { "mode": "companies", "companyUrls": ["https://www.linkedin.com/company/stripe", "canva"] } ``` #### Latest posts of companies and people ```json { "mode": "posts", "companyUrls": ["hubspot"], "profileUrls": ["justinwelsh"], "postedAfter": "2026-09-01" } ``` In **Profiles** mode the 🏒 field is ignored and in **Companies** mode the πŸ‘€ field is ignored, so both can stay filled; **Posts** reads both. ##### Single posts and their top comments Paste links to single posts β€” `https://www.linkedin.com/posts/…` or `https://www.linkedin.com/feed/update/urn:li:activity:…` β€” into **πŸ’¬ Single post URLs**. Each gives one post row (billed as one post) with every post field plus `topComments`: the **top ~8–10 comments a logged-out visitor sees, not all** (a post with 129 comments shows 8), with author, text, date and likes. Measured on 12 posts (5 October 2026): 8–10 comments on every post, each with author URL, date and likes. ```json { "postUrls": ["https://www.linkedin.com/posts/satyanadella_at-linkedin-every-day-we-talk-to-recruiters-activity-7510854041028108288-1zhY"], "includeComments": true } ``` `includeComments` adds the same top comments to posts found on the pages you list (off by default: `topComments` is then `null`). ### ⬆️ Output #### Profile ```json { "type": "profile", "fullName": "Kipp Bodnar", "headline": "HubSpot", "company": "HubSpot", "companyLinkedinUrl": "https://www.linkedin.com/company/hubspot", "location": "Boston, Massachusetts, United States", "followers": 35317, "connections": "500+", "email": null, "emailGuess": "kipp.bodnar@hubspot.com", "confidence": "low", "emailStatus": "unverified-guess", "emailDomainStatus": "accepts-mail", "domain": "hubspot.com", "emailPattern": "first.last", "linkedinUrl": "https://www.linkedin.com/in/kippbodnar" } ``` #### Company ```json { "type": "company", "name": "Stripe", "website": "https://stripe.com", "industry": "Technology, Information and Internet", "companySize": "5,001-10,000 employees", "employeesOnLinkedIn": 16622, "followers": 1746336, "headquarters": "South San Francisco, California", "founded": 2010 } ``` #### Post ```json { "type": "post", "postType": "post", "sourceName": "Stripe", "publishedAt": "2026-09-30T16:10:57.761Z", "text": "We're welcoming Parafin to Stripe…", "likes": 926, "comments": 31, "postUrl": "https://www.linkedin.com/posts/stripe_were-welcoming-parafin-to-stripe-together-activity-7511095253190246400-rDs4" } ``` #### How often each profile field is filled LinkedIn shows logged-out visitors a shorter profile than members see. Measured on 55 mixed profiles (3 October 2026): | Filled in | Profile fields | |---|---| | **Every profile** | `fullName`, `headline` (as in the page title β€” for 7 in 10 people that is their current company), `location`, `country`, `followers`, `connections`, `imageUrl`, `linkedinUrl` | | **Most profiles** | `company` and `companyLinkedinUrl` (9 in 10), `about` (3 in 4), `recommendations` (7 in 10), `education` (6 in 10), `website` (5 in 10) | | **Some profiles** | `certifications`, `honorsAndAwards`, `languages`, `volunteering`, `publications` (1 in 4 to 1 in 3) | | **Few profiles** | job `title` and full `experience` with titles and dates (about 1 in 5 β€” LinkedIn masks past employers for logged-out visitors), `skills` (about 1 in 8) | Added 5 October 2026 (checked on 7 public profiles): every role in the Experience section, including each role inside a company group (one long career went from 11 to 24 roles), with `companyLogo` and `location`; every school in the Education section with `degree` and `fieldOfStudy` (schools without dates used to be missing); `city`, `region`, `countryCode`; `coverImageUrl`, `memberId`, `profileUrn`; `languageProficiencies`, `courses`, `projects`, `testScores`, `coursesTaught` when the profile shows those sections. The exact connection count, Featured, interests and open-to-work / hiring flags are not shown to logged-out visitors, so they are not returned. Added 5 October 2026 (round 2): `similarProfiles` β€” the "Other similar profiles" side rail of the public profile (LinkedIn's "People also viewed" as logged-out visitors see it): name, headline as the card shows it (usually the current company), location, followers, profile URL and photo of each person, 9–20 per profile (10 of 11 checked profiles show it). `sameNameProfiles` β€” "Others named …", when LinkedIn shows that rail (1 of 11). Same page, no extra request or charge. An empty field means LinkedIn did not show it, not that the run failed. Each mode writes one kind of row, so the table stays clean; the **Output** tab has a view per kind and one for error rows. ### What LinkedIn shows without a login This Actor reads the **public pages LinkedIn serves to logged-out visitors and search engines** β€” no account, no cookies, nothing that could get an account banned. That decides what is possible: - **Hidden profiles.** Some people hide their profile from logged-out visitors; LinkedIn then answers with a login wall or HTTP 999 for that profile from every address. On mixed lists about **1 in 4 or 5** profiles is refused on the first route. Those get **one more try through an unblocking route, paid only from your run's own margin** (never from a subsidy that would have to be priced in). Whatever still stays hidden comes back as a **free error row** saying so. - **Recent posts only.** A logged-out visitor sees a company's **~10 newest posts** (median 9 on a 20-company check, 2 of 20 showed none) and a person's **~5–10 newest posts, quote-shares and reposts** **plus up to 10 articles**. A page with fewer posts than you asked for adds one free `notice` row saying how many LinkedIn showed. There is no paging back to older posts without a login β€” use the **Only posts not delivered before** switch on a daily schedule to build a full history from now on. - **Shortened surnames.** A few profiles show the surname as an initial ("Diego C.") to logged-out visitors; the row says so. - **No private data.** Phone numbers, connections lists and contact info behind the login are not read. Pages that do not exist (HTTP 404) are free error rows too. A run in which LinkedIn refuses everything ends with error rows and no charge. ### How the work e-mail is found For each profile with a current company the Actor finds the **company's own website** (from its LinkedIn page, the domain spelling the company name, or the site carrying the company's name β€” never a guess it cannot back), reads a few pages of that site to learn **how the company writes its addresses** (`first.last`, `flast`, `first`…), builds the person's address in that layout and checks that the domain **accepts mail (MX record)**. `confidence` and `emailStatus` say how sure it is: **confirmed** / `found-on-website` (published on the site), **high / medium** / `pattern-confirmed` (layout seen on the site), **low** / `unverified-guess` (the most common layout, nothing confirms it). Addresses are not sent test e-mails and no mailbox (SMTP) check is made, so nothing is labelled "deliverable"; the domain's DNS verdict is in `emailDomainStatus`. Only an address at or above **Minimum e-mail confidence** (default `medium`) goes into `email` and gets the *Profile with e-mail* price; a weaker guess is kept in `emailGuess` and the row stays *Profile*. ### Use cases for LinkedIn data #### Lead generation and sales prospecting Turn a list of LinkedIn profiles into a CRM-ready sheet with job titles, companies and work e-mails. #### Recruiting and talent research Read current company, location, about, education and certifications of candidates in bulk. #### Account research and market mapping Pull company size, industry, headquarters and employee counts for a list of accounts. #### Social listening and content research Track what companies and creators post, which posts get likes and comments, and when. #### AI and RAG pipelines Feed clean, structured LinkedIn data to an AI agent through the API or the MCP server. ### Integrations and API Use **LinkedIn Scraper** like any Apify Actor: - **API**: start a run and read the dataset over HTTP β€” see the **API** tab for ready-made calls. - **Python**: ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("blueskyscraper/linkedin-scraper").call(run_input={"mode": "profiles", "profileUrls": ["https://www.linkedin.com/in/satyanadella", "https://www.linkedin.com/in/jeffweiner08"]}) for row in client.dataset(run["defaultDatasetId"]).iterate_items(): print(row) ``` - **JavaScript**: ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: '' }); const run = await client.actor('blueskyscraper/linkedin-scraper').call({"mode": "profiles", "profileUrls": ["https://www.linkedin.com/in/satyanadella", "https://www.linkedin.com/in/jeffweiner08"]}); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ``` - **No-code**: Make, Zapier, n8n, Google Sheets, Airtable, Slack and webhooks through Apify integrations β€” send every finished run's rows wherever your team works. - **AI agents (MCP)**: add the Actor to Claude, ChatGPT, Cursor or any MCP client through the Apify MCP server (`https://mcp.apify.com`) and ask for LinkedIn data in plain words. - **Schedules**: run it every day or week from the **Schedules** page; combine with **Maximum results per run** to cap the bill. ### ❓ FAQ #### Is it legal to scrape LinkedIn? The Actor reads only pages that LinkedIn shows to anyone without an account. Scraping public data is generally lawful, but names, job titles and e-mails are **personal data** under laws such as the GDPR and CCPA: have a lawful reason to process them, keep them safe, and honour opt-outs. When in doubt, ask a lawyer. #### Do I need a LinkedIn account, cookies or a proxy? No. Nothing to log in to, no cookies to paste, no proxy to set up β€” your own LinkedIn account is never touched, so it cannot be restricted. Proxies are included in the price. #### Can I use it with the Apify API? Yes β€” every run can be started and read over the Apify API, from Python, JavaScript or any HTTP client. See **Integrations and API** above. #### Can I use it through an MCP server? Yes. Add it to the Apify MCP server (`https://mcp.apify.com`) and your AI assistant can call it directly. #### Can I integrate it with other apps? Yes: Make, Zapier, n8n, Google Sheets, Airtable, Slack and webhooks through Apify integrations. #### Why did some pages come back as error rows? Either the page does not exist (404), or LinkedIn hides it from logged-out visitors. Both are **free** β€” you pay only for rows with data. The `error` field says which. #### Do I pay for errors, filtered-out posts or the start of a run? No. There is no start fee; error rows and posts removed by your filters are never billed. **Maximum results per run** and Apify's **Max cost per run** are hard ceilings β€” when the cost limit is reached, the run stops by itself with everything written already paid for. #### Can I get the comments' text? Yes β€” the **top ~8–10 comments a logged-out visitor sees**, in `topComments` (author name, profile URL, photo, text, images, date, likes, comment link). LinkedIn does not show logged-out visitors all comments of a post, nor replies: `commentsCount` gives the full number, `topComments` only what is visible. Paste post links into **πŸ’¬ Single post URLs** (comments always included), or switch on **πŸ’¬ Add top comments to posts from pages** to add them to the posts found on pages β€” one extra page request per post, so the run is slower; no extra charge. Per-type reaction counts and repost counts need a login. #### Which mode should I use for the latest posts of a person? **Posts** β€” paste the profile URL into πŸ‘€ LinkedIn profiles. In **Profiles** mode you can also switch on **Add the person's latest posts** to get them inside the profile row for free. ### Your feedback Something missing or wrong? Open an issue on the **Issues** tab β€” we read every one and usually fix within days. ### You might also like | Actor | What it does | |---|---| | [LinkedIn Profile Details Scraper](https://apify.com/blueskyscraper/linkedin-profile-details-scraper) | Full public profiles from a list of profile URLs | | [LinkedIn Profile Email Finder](https://apify.com/blueskyscraper/linkedin-profile-email-finder) | Work e-mail for each profile, with layout evidence and confidence | | [LinkedIn Company Details Scraper](https://apify.com/blueskyscraper/linkedin-company-details-scraper) | Company pages: website, industry, size, followers, address | | [LinkedIn Company Posts Scraper](https://apify.com/blueskyscraper/linkedin-company-posts-scraper) | Latest posts of company pages with likes and comments | | [LinkedIn Profile Posts Scraper](https://apify.com/blueskyscraper/linkedin-profile-posts-scraper) | Latest posts and articles of people | # Actor input Schema ## `mode` (type: `string`): Profiles β€” the public profile of each person: headline, current title and company, location, about, followers, experience, education, skills, certifications; switch on the work e-mail below. Companies β€” each company page: website, industry, size, employees on LinkedIn, followers, address, founded, specialties, latest posts. Posts β€” the latest posts LinkedIn shows logged-out visitors on each company or person page. ## `profileUrls` (type: `array`): Profile URLs or slugs, one per line β€” https://www.linkedin.com/in/satyanadella or just satyanadella. Profiles that do not exist or that LinkedIn hides from logged-out visitors come back as free error rows. ## `companyUrls` (type: `array`): Company page URLs or slugs, one per line β€” https://www.linkedin.com/company/stripe or just stripe. School and showcase pages work too. ## `postUrls` (type: `array`): Posts: links to single posts β€” https://www.linkedin.com/posts/… or …/feed/update/urn:li:activity:… (they also work in the other URL fields). One row per post with all post fields plus topComments: the top ~8–10 comments LinkedIn shows a logged-out visitor, not all. Billed as one post; the comments are free. ## `startUrls` (type: `array`): For long lists: upload a file or link a Google Sheet (or any text / CSV URL) that contains LinkedIn URLs. Each link is routed by its kind. ## `findEmail` (type: `boolean`): Profiles: find each person's work e-mail β€” the company's website, the address layout it uses, a mail-server (MX) check and a confidence level. A row WITH an e-mail is billed as Profile with e-mail; a row without one stays a plain Profile. ## `minConfidence` (type: `string`): An address below this level is not put into email (it goes to emailGuess and alternatives) and the row is billed as a plain profile. confirmed = published on the company's site; high / medium = the layout is seen on the site (pattern-confirmed); low = the most common layout, nothing confirms it (unverified-guess). No mailbox (SMTP) check is made. ## `companyOverride` (type: `string`): Use this company name or domain for everyone instead of what the profiles say β€” e.g. hubspot.com when the whole list works at one company. ## `candidatesPerPerson` (type: `integer`): The best address goes into email, the runners-up into alternatives. ## `maxPagesPerCompany` (type: `integer`): Home page plus contact / team / about pages, read to learn how the company writes its addresses. ## `pageTimeoutSecs` (type: `integer`): How long to wait for one company web page. ## `includePosts` (type: `boolean`): Profiles: the person's recent posts and articles that LinkedIn shows logged-out visitors, inside the same row. No extra charge. ## `includeCompanyPosts` (type: `boolean`): Companies: the company's own recent posts (usually up to 10) with text, date, likes, comments, reactions, images, video, document, link card, mentions and link, inside the same row. No extra charge β€” they are on the page already read. ## `includeReposts` (type: `boolean`): Posts: what the company or person reposted from someone else, marked isRepost: true with repostedAt and repostedBy (the author fields are the original author). Turn off to keep only their own posts β€” skipped reposts are free. ## `includeComments` (type: `boolean`): Posts: for posts found on company and profile pages, also open each post's own page and add its top ~8–10 visible comments in topComments. One extra page request per post, so the run is slower; no extra charge. Off: topComments is null. Single post URLs always include comments. ## `includeArticles` (type: `boolean`): Posts: people's long-form LinkedIn articles (headline, date, likes, link) next to their posts. Each article is billed as a post. ## `postedAfter` (type: `string`): Posts: skip older posts (free). Date like 2026-09-01. ## `minLikes` (type: `integer`): Posts: skip posts below this many likes (free). ## `maxPostsPerSource` (type: `integer`): Posts: cap per company or person page. Logged out, LinkedIn shows a company's ~7–10 newest posts and a person's ~5–10 newest posts and reposts plus up to 10 articles. A page with fewer posts than this adds one free notice row saying how many LinkedIn showed. ## `onlyNewPosts` (type: `boolean`): Posts: skip every post this account already got from an earlier run (free) β€” put the run on a daily schedule and get only new posts. ## `maxItems` (type: `integer`): A hard ceiling on the rows one run bills β€” profiles, companies or posts. ## `concurrency` (type: `integer`): How many LinkedIn pages to read at the same time. Keep it low β€” LinkedIn dislikes bursts. ## Actor input object example ```json { "mode": "profiles", "profileUrls": [ "https://www.linkedin.com/in/satyanadella", "https://www.linkedin.com/in/jeffweiner08", "https://www.linkedin.com/in/justinwelsh" ], "companyUrls": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/canva", "https://www.linkedin.com/company/anthropicresearch" ], "postUrls": [ "https://www.linkedin.com/posts/satyanadella_at-linkedin-every-day-we-talk-to-recruiters-activity-7510854041028108288-1zhY" ], "findEmail": false, "minConfidence": "medium", "candidatesPerPerson": 3, "maxPagesPerCompany": 4, "pageTimeoutSecs": 15, "includePosts": false, "includeCompanyPosts": true, "includeReposts": true, "includeComments": false, "includeArticles": true, "minLikes": 0, "maxPostsPerSource": 50, "onlyNewPosts": false, "maxItems": 10000, "concurrency": 3 } ``` # Actor output Schema ## `rows` (type: `string`): One row per profile, company or post; free error rows explain pages that could not be read. ## `summary` (type: `string`): Counts, routes and proxy use of the run. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "profileUrls": [ "https://www.linkedin.com/in/satyanadella", "https://www.linkedin.com/in/jeffweiner08", "https://www.linkedin.com/in/justinwelsh" ], "companyUrls": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/canva", "https://www.linkedin.com/company/anthropicresearch" ], "postUrls": [ "https://www.linkedin.com/posts/satyanadella_at-linkedin-every-day-we-talk-to-recruiters-activity-7510854041028108288-1zhY" ], "minConfidence": "medium" }; // Run the Actor and wait for it to finish const run = await client.actor("blueskyscraper/linkedin-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "profileUrls": [ "https://www.linkedin.com/in/satyanadella", "https://www.linkedin.com/in/jeffweiner08", "https://www.linkedin.com/in/justinwelsh", ], "companyUrls": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/canva", "https://www.linkedin.com/company/anthropicresearch", ], "postUrls": ["https://www.linkedin.com/posts/satyanadella_at-linkedin-every-day-we-talk-to-recruiters-activity-7510854041028108288-1zhY"], "minConfidence": "medium", } # Run the Actor and wait for it to finish run = client.actor("blueskyscraper/linkedin-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "profileUrls": [ "https://www.linkedin.com/in/satyanadella", "https://www.linkedin.com/in/jeffweiner08", "https://www.linkedin.com/in/justinwelsh" ], "companyUrls": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/canva", "https://www.linkedin.com/company/anthropicresearch" ], "postUrls": [ "https://www.linkedin.com/posts/satyanadella_at-linkedin-every-day-we-talk-to-recruiters-activity-7510854041028108288-1zhY" ], "minConfidence": "medium" }' | apify call blueskyscraper/linkedin-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,blueskyscraper/linkedin-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/gUFhrs1j8JoahKKIL/builds/2X2XC6huGEMgiEsQl/openapi.json