# LinkedIn Real-Time Data — Jobs, Profiles, Companies & Posts (`b2b_leads/linkedin-real-time-data-jobs-profiles-companies-posts`) Actor Scrape LinkedIn jobs, profiles, companies & posts in real time — no browser, no login required. Fast, lightweight Apify actor with LinkedIn Jobs search filters, people search, company data, lead generation & recruiting. Structured JSON for CRM, AI, LLM, MCP & analytics. Up to 1,000 results per query - **URL**: https://apify.com/b2b\_leads/linkedin-real-time-data-jobs-profiles-companies-posts.md - **Developed by:** [Chidubem Aneke](https://apify.com/b2b_leads) (community) - **Categories:** Lead generation, Jobs, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## LinkedIn Real-Time Data **The fastest, lightest LinkedIn data Actor on Apify.** Collect jobs, people, companies, and posts as clean, structured JSON — **no browser**, **512 MB RAM**, results streamed to your dataset in real time. Built for developers, data teams, recruiters, and AI pipelines that need **reliable LinkedIn data at scale** without the cost and complexity of browser automation. --- ### Why this Actor | | LinkedIn Real-Time Data | Typical browser scraper | |---|------------------------|-------------------------| | **Speed** | ~1–3 s per item | 5–15 s per item | | **Memory** | **256–512 MB** default | 2–4 GB+ | | **Setup** | No login required | Usually requires login | | **Cost** | Low compute, low proxy burn | High | | **Output** | Structured JSON, LLM-ready | Often messy HTML | | **Scale** | Up to **1,000 results** per search query | Often capped lower | --- ### What you get — 50+ data points Every record includes `featureType` and `scrapedAt` so you can filter, join, and pipe into any workflow. #### Jobs (`featureType: "job"`) | Field | Description | |-------|-------------| | `title`, `company`, `location`, `workplaceType` | Core listing info | | `jobUrl`, `applyUrl`, `companyUrl`, `companyLogo` | Links & branding | | `descriptionText`, `descriptionHtml` | Full job description | | `seniorityLevel`, `employmentType`, `jobFunction`, `industries` | Classification | | `salary`, `applicantCount`, `easyApply` | Compensation & signals | | `listedAtISO`, `postedTimeAgo` | Freshness | | `searchQuery`, `position` | Traceability | #### People (`featureType: "profile"`) | Field | Description | |-------|-------------| | `fullName`, `firstName`, `lastName`, `headline`, `summary` | Identity & bio | | `location`, `country`, `industry` | Geography & sector | | `currentTitle`, `currentCompany` | Role today | | `followersCount`, `connectionsCount` | Reach | | `experience[]`, `education[]`, `skills[]`, `languages[]` | Career history | | `pictureUrl`, `profileUrl`, `publicIdentifier` | URLs & IDs | | `corporateEmails[]` | Corporate emails (enrichment) | | `wikidata`, `github` | External enrichment objects | #### Companies (`featureType: "company"`) | Field | Description | |-------|-------------| | `name`, `tagline`, `description`, `industry` | Identity | | `employeeCount`, `companySize`, `followerCount` | Scale | | `headquarters`, `founded`, `specialties[]` | Details | | `website`, `logoUrl`, `companyUrl` | Links | | `emails[]`, `contactPageUrl` | Contact enrichment | | `wikidata` | External enrichment | #### Posts (`featureType: "post"`) | Field | Description | |-------|-------------| | `text`, `authorName`, `authorHeadline`, `authorUrl` | Content & author | | `numLikes`, `numComments`, `numShares`, `numReactions` | Engagement | | `createdAtISO`, `postUrl`, `urn` | IDs & timestamps | | `comments[]` | Top comments (author, text, likes) | | `mediaUrls[]`, `articleTitle`, `articleUrl` | Media & links | Set `includeRaw: true` to attach the full source payload on any record (larger output, useful for custom parsers). --- ### Features #### Jobs — on by default Fast LinkedIn Jobs Search Filter: keywords, title, company, location, experience, employment type, remote/hybrid/onsite, date posted, and sort order. Up to **1,000 jobs per keyword**. #### People Search Two modes: scrape by profile URL/handle, or discover by keyword with LinkedIn filters (location, title, current/past company, industry, school). Up to **1,000 profiles per keyword**. #### Companies Two modes: scrape by company URL/name, or discover by keyword with location, industry, size, and headquarters filters. Up to **1,000 companies per keyword**. #### Posts & Activity Three modes: scrape post URLs, load recent posts from profile URLs, or discover posts by keyword with author, company, topic, date posted, and relevance filters. Top comments included. #### Enrichment Optional layer that adds data beyond the LinkedIn profile or company page: - Corporate emails - Wikidata facts & social links - GitHub developer profiles - Company website contact emails --- ### Use cases - **Recruiting & talent sourcing** — job listings + people search by title, location, and company - **Lead generation & sales** — company discovery, decision-maker profiles, contact enrichment - **Market research** — track hiring trends, company growth, industry activity - **Competitive intelligence** — monitor competitor posts, headcount signals, job postings - **AI & LLM pipelines** — structured JSON for RAG, scoring, summarization, and outreach drafts - **Data products** — feed warehouses, CRMs, and internal tools via Apify API or webhooks --- ### LLM & MCP integration Output is **JSON Lines–friendly structured data** — ideal for ChatGPT, Claude, Gemini, LangChain, LlamaIndex, and custom agents. #### Recommended workflow 1. Run the Actor with the features you need. 2. Fetch dataset items via [Apify API](https://docs.apify.com/api/v2) or export JSON/CSV. 3. Pass records to your LLM with a system prompt, or index into a vector store. #### Example: single profile for an LLM prompt ```json { "featureType": "profile", "fullName": "Jane Doe", "headline": "VP Engineering at Acme", "location": "San Francisco Bay Area", "currentCompany": "Acme", "experience": [{ "title": "VP Engineering", "company": "Acme", "dateRange": "2022 – Present" }], "corporateEmails": ["jane.doe@acme.com"], "profileUrl": "https://www.linkedin.com/in/janedoe" } ```` #### Apify MCP (Model Context Protocol) Use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) so AI assistants can: - **Run** this Actor with natural-language instructions - **Read** dataset results directly in the chat - **Chain** with other Actors (e.g. enrich → email → CRM) Typical MCP tool flow: ``` User: "Find 50 fintech companies in London and summarize each" → MCP runs Actor with enableCompanies, companySearchMode=keyword, companyKeywords=["fintech"], companyLocation=London → MCP reads dataset items → LLM summarizes results ``` #### API quick start ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "enableJobs": true, "jobKeywords": ["product manager"], "jobLocation": "Remote", "jobsPerQuery": 25 }' ``` Dataset items: `GET https://api.apify.com/v2/datasets/{datasetId}/items?format=json` *** ### Input reference Enable only what you need. All features are independent. | Input | Type | Default | Description | |-------|------|---------|-------------| | **Jobs** | | | | | `enableJobs` | boolean | `true` | Scrape job listings | | `jobKeywords` | string\[] | `["software engineer"]` | Search keywords (one run per keyword) | | `jobTitle` | string | — | Title filter | | `jobCompany` | string | — | Company filter | | `jobLocation` | string | `"United States"` | Location | | `jobExperienceLevels` | enum\[] | — | internship → executive | | `jobTypes` | enum\[] | — | full\_time, part\_time, contract, … | | `jobRemote` | enum\[] | — | onsite, remote, hybrid | | `jobDatePosted` | enum | `any` | any, month, week, day | | `jobSort` | enum | `relevance` | relevance or date | | `jobsPerQuery` | integer | `25` | Max jobs per keyword (1–1000) | | `fetchJobDetails` | boolean | `true` | Full description + criteria | | **People Search** | | | | | `enableProfiles` | boolean | `false` | People search | | `profileSearchMode` | enum | `url` | url or keyword | | `profileUrls` | string\[] | — | URLs or handles (url mode) | | `profileKeywords` | string\[] | — | Keywords (keyword mode) | | `profileLocation` | string | — | Location filter | | `profileTitle` | string | — | Title / role | | `profileCurrentCompany` | string | — | Current company | | `profilePastCompany` | string | — | Past company | | `profileIndustry` | string | — | Industry | | `profileSchool` | string | — | School | | `profilesPerQuery` | integer | `25` | Max profiles per keyword | | **Companies** | | | | | `enableCompanies` | boolean | `false` | Company search | | `companySearchMode` | enum | `url` | url or keyword | | `companyUrls` | string\[] | — | URLs or names (url mode) | | `companyKeywords` | string\[] | — | Keywords (keyword mode) | | `companyLocation` | string | — | Location filter | | `companyIndustry` | string | — | Industry | | `companySize` | string | — | Company size | | `companyHeadquarters` | string | — | HQ location | | `companiesPerQuery` | integer | `25` | Max companies per keyword | | `companyDiscoveryViaJobs` | boolean | `true` | Also find companies via hiring signals | | **Posts** | | | | | `enablePosts` | boolean | `false` | Posts & activity | | `postSearchMode` | enum | `url` | url, profile, or keyword | | `postUrls` | string\[] | — | Post permalinks (url mode) | | `activityProfiles` | string\[] | — | Profile URLs (profile mode) | | `postKeywords` | string\[] | — | Keywords (keyword mode) | | `postDatePosted` | enum | `any` | Date posted filter | | `postSort` | enum | `relevance` | Relevance or most recent | | `postsPerProfile` | integer | `20` | Max posts per profile | | `postsPerQuery` | integer | `25` | Max posts per keyword | | `includeComments` | boolean | `true` | Top comments | | **Enrichment** | | | | | `enableEnrichment` | boolean | `false` | Enable all enrichment sub-options | | `enrichEmailPatterns` | boolean | `true` | Corporate emails | | `enrichWikidata` | boolean | `true` | Wikidata facts | | `enrichGithub` | boolean | `true` | GitHub data | | `enrichCompanyWebsite` | boolean | `true` | Website contact emails | | **Output & limits** | | | | | `maxItems` | integer | `1000` | Total cap across all features | | `includeRaw` | boolean | `false` | Attach raw source payload | | `proxyConfiguration` | object | residential US | Apify proxy settings | Full schema: see `.actor/input_schema.json` in this repository or the **Input** tab on Apify Console. *** ### Output reference Each dataset row is one record. Filter by `featureType`: | `featureType` | Description | |---------------|-------------| | `job` | Job posting | | `profile` | Person profile | | `company` | Company page | | `post` | Post or activity | **Dataset views** (in Apify Console): Overview, Jobs, Profiles, Companies, Posts. Export formats: **JSON**, **CSV**, **Excel**, **RSS**, or via **API**. *** ### Quick start examples **Jobs only** ```json { "enableJobs": true, "jobKeywords": ["data engineer"], "jobLocation": "United States", "jobsPerQuery": 50, "fetchJobDetails": true } ``` **People keyword search** ```json { "enableJobs": false, "enableProfiles": true, "profileSearchMode": "keyword", "profileKeywords": ["software engineer"], "profileTitle": "Software Engineer", "profileLocation": "San Francisco Bay Area", "profilesPerQuery": 100 } ``` **Profile + enrichment** ```json { "enableJobs": false, "enableProfiles": true, "profileSearchMode": "url", "profileUrls": ["williamhgates"], "enableEnrichment": true } ``` **Posts by keyword** ```json { "enablePosts": true, "postSearchMode": "keyword", "postKeywords": ["AI regulation"], "postDatePosted": "week", "postSort": "date", "postsPerQuery": 50 } ``` *** ### Proxy & performance - **Residential proxy** (US recommended) is strongly advised for best reliability. - Default memory: **512 MB** — sufficient for most runs including high-volume search. - Results are **streamed to the dataset** as they are collected; long runs do not accumulate data in memory. *** ### Limitations & compliance - Post comments are limited to the top comments LinkedIn exposes per post. - Unofficial tool — not affiliated with LinkedIn. Use responsibly and comply with applicable laws and LinkedIn's Terms of Service. *** ### Contact & custom work Need something beyond this Actor? I build **custom scrapers**, **data pipelines**, and **full-stack web applications** for startups and enterprises. - **Email:** - **GitHub:** [github.com/DrunkCodes](https://github.com/DrunkCodes) Reach out for: - Custom Apify Actors (any website or API) - LinkedIn / social / job-board data projects at scale - LLM & MCP integrations with your data stack - Web apps, dashboards, and automation tools *** *LinkedIn Real-Time Data · by [DrunkCodes](https://github.com/DrunkCodes)* # Actor input Schema ## `enableJobs` (type: `boolean`): Scrape LinkedIn job postings with full descriptions and hiring criteria. Enabled by default. ## `jobKeywords` (type: `array`): Main job search keywords — same as the LinkedIn Jobs search box. One search per keyword. ## `jobTitle` (type: `string`): Title filter (e.g. "Software Engineer"). Combined with keywords for precise LinkedIn Jobs results. ## `jobCompany` (type: `string`): Company filter — search jobs at a specific company (e.g. "Google", "Stripe"). Leave empty for any company. ## `jobLocation` (type: `string`): Location to search jobs in (e.g. "United States", "London", "Remote"). ## `jobExperienceLevels` (type: `array`): Filter jobs by experience level. ## `jobTypes` (type: `array`): Filter jobs by employment type. ## `jobRemote` (type: `array`): Filter jobs by on-site / remote / hybrid. ## `jobDatePosted` (type: `string`): Only return jobs posted within this window. ## `jobSort` (type: `string`): Relevance or most recent. ## `jobsPerQuery` (type: `integer`): Maximum jobs to return per keyword (1–1000). ## `fetchJobDetails` (type: `boolean`): Fetch each job's full description and criteria (seniority, employment type, function, industry). Slightly slower but much richer. ## `enableProfiles` (type: `boolean`): Find and scrape LinkedIn people profiles by URL/handle or by keyword with LinkedIn search filters. ## `profileSearchMode` (type: `string`): Choose how to find people: direct URLs/handles or keyword discovery. ## `profileUrls` (type: `array`): LinkedIn profile URLs (https://www.linkedin.com/in/xxx) or bare handles. ## `profileKeywords` (type: `array`): Search keywords (e.g. "software engineer", "data scientist fintech"). Combine with filters below. ## `profileLocation` (type: `string`): Geographic filter (e.g. "San Francisco Bay Area", "London", "United States"). Strongly recommended for people search. ## `profileTitle` (type: `string`): Job title filter (e.g. "Software Engineer", "Product Manager"). ## `profileCurrentCompany` (type: `string`): Filter by current employer (e.g. "Google", "Microsoft"). ## `profilePastCompany` (type: `string`): Filter by past employer. ## `profileIndustry` (type: `string`): Industry filter (e.g. "Financial Services", "Information Technology"). ## `profileSchool` (type: `string`): School filter (e.g. "Stanford University", "MIT"). ## `profilesPerQuery` (type: `integer`): Maximum profiles to return per keyword (1–1000). ## `enableCompanies` (type: `boolean`): Find and scrape LinkedIn company pages by URL/name or by keyword with LinkedIn company filters. ## `companySearchMode` (type: `string`): Choose how to find companies: direct URLs/names or keyword discovery. ## `companyUrls` (type: `array`): LinkedIn company URLs (https://www.linkedin.com/company/xxx) or bare universal names. ## `companyKeywords` (type: `array`): Search keywords (e.g. "fintech", "AI startup"). Combine with filters below. ## `companyLocation` (type: `string`): Geographic filter for company search. ## `companyIndustry` (type: `string`): Industry filter (e.g. "Financial Services", "Software Development"). ## `companySize` (type: `string`): Company size filter (e.g. "51-200 employees", "1001-5000"). ## `companyHeadquarters` (type: `string`): HQ location filter (e.g. "San Francisco", "London"). ## `companiesPerQuery` (type: `integer`): Maximum companies to return per keyword (1–1000). ## `companyDiscoveryViaJobs` (type: `boolean`): For keyword company search, also find companies actively hiring for the query via LinkedIn Jobs. ## `enablePosts` (type: `boolean`): Scrape LinkedIn posts by URL, from a profile's activity feed, or by keyword with filters. ## `postSearchMode` (type: `string`): Choose how to find posts. ## `postUrls` (type: `array`): LinkedIn post or activity URLs (full URLs or urn:li:activity:... references). ## `activityProfiles` (type: `array`): LinkedIn profile URLs or handles — loads recent posts from each profile's activity feed. ## `postsPerProfile` (type: `integer`): Maximum posts to fetch per profile URL (1–500). ## `postKeywords` (type: `array`): Search keywords for post/content discovery (e.g. "AI regulation", "product launch"). ## `postLocation` (type: `string`): Geographic filter for post search. ## `postAuthor` (type: `string`): Author name filter for post search. ## `postCompany` (type: `string`): Company filter — finds posts from or about a company. ## `postTopic` (type: `string`): Topic or theme filter (combined with keywords). ## `postDatePosted` (type: `string`): Only return posts published within this window. ## `postSort` (type: `string`): Relevance or most recent. ## `postsPerQuery` (type: `integer`): Maximum posts to return per keyword (1–1000). ## `includeComments` (type: `boolean`): Include top comments on each post (author name, comment text, like count). ## `enableEnrichment` (type: `boolean`): Augment profiles and companies with additional data points from external sources. ## `enrichEmailPatterns` (type: `boolean`): Generate likely email addresses from a person's name and company domain (first.last@domain, flast@domain, …). ## `enrichWikidata` (type: `boolean`): Enrich people and companies with Wikidata (description, official website, social links). ## `enrichGithub` (type: `boolean`): If a GitHub profile is linked, pull bio, company, blog, location, repos, and followers. ## `enrichCompanyWebsite` (type: `boolean`): Fetch the company website and extract contact emails from home and contact pages. ## `maxItems` (type: `integer`): Global cap on the total number of records across all features. ## `includeRaw` (type: `boolean`): Attach the raw source payload under the raw field. Larger output. ## `proxyConfiguration` (type: `object`): Use Residential US proxy for best results and to avoid throttling. ## Actor input object example ```json { "enableJobs": true, "jobKeywords": [ "software engineer" ], "jobTitle": "Software Engineer", "jobCompany": "", "jobLocation": "United States", "jobExperienceLevels": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "jobTypes": [ "full_time", "part_time", "contract", "temporary", "internship", "volunteer" ], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobSort": "relevance", "jobsPerQuery": 25, "fetchJobDetails": true, "enableProfiles": false, "profileSearchMode": "url", "profileUrls": [], "profileKeywords": [], "profileLocation": "", "profileTitle": "", "profileCurrentCompany": "", "profilePastCompany": "", "profileIndustry": "", "profileSchool": "", "profilesPerQuery": 25, "enableCompanies": false, "companySearchMode": "url", "companyUrls": [], "companyKeywords": [], "companyLocation": "", "companyIndustry": "", "companySize": "", "companyHeadquarters": "", "companiesPerQuery": 25, "companyDiscoveryViaJobs": true, "enablePosts": false, "postSearchMode": "url", "postUrls": [], "activityProfiles": [], "postsPerProfile": 20, "postKeywords": [], "postLocation": "", "postAuthor": "", "postCompany": "", "postTopic": "", "postDatePosted": "any", "postSort": "relevance", "postsPerQuery": 25, "includeComments": true, "enableEnrichment": false, "enrichEmailPatterns": true, "enrichWikidata": true, "enrichGithub": true, "enrichCompanyWebsite": true, "maxItems": 1000, "includeRaw": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `allResults` (type: `string`): Complete dataset with every field from all enabled features in this run. ## `jobs` (type: `string`): Job posting rows. ## `profiles` (type: `string`): People profile rows. ## `companies` (type: `string`): Company rows. ## `posts` (type: `string`): Post/activity rows. # 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 = { "enableJobs": true, "jobKeywords": [ "software engineer" ], "jobTitle": "Software Engineer", "jobCompany": "", "jobLocation": "United States", "jobExperienceLevels": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "jobTypes": [ "full_time", "part_time", "contract", "temporary", "internship", "volunteer" ], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobSort": "relevance", "jobsPerQuery": 25, "fetchJobDetails": true, "maxItems": 1000, "includeRaw": false }; // Run the Actor and wait for it to finish const run = await client.actor("b2b_leads/linkedin-real-time-data-jobs-profiles-companies-posts").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "enableJobs": True, "jobKeywords": ["software engineer"], "jobTitle": "Software Engineer", "jobCompany": "", "jobLocation": "United States", "jobExperienceLevels": [ "internship", "entry", "associate", "mid_senior", "director", "executive", ], "jobTypes": [ "full_time", "part_time", "contract", "temporary", "internship", "volunteer", ], "jobRemote": [ "onsite", "remote", "hybrid", ], "jobDatePosted": "any", "jobSort": "relevance", "jobsPerQuery": 25, "fetchJobDetails": True, "maxItems": 1000, "includeRaw": False, } # Run the Actor and wait for it to finish run = client.actor("b2b_leads/linkedin-real-time-data-jobs-profiles-companies-posts").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "enableJobs": true, "jobKeywords": [ "software engineer" ], "jobTitle": "Software Engineer", "jobCompany": "", "jobLocation": "United States", "jobExperienceLevels": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "jobTypes": [ "full_time", "part_time", "contract", "temporary", "internship", "volunteer" ], "jobRemote": [ "onsite", "remote", "hybrid" ], "jobDatePosted": "any", "jobSort": "relevance", "jobsPerQuery": 25, "fetchJobDetails": true, "maxItems": 1000, "includeRaw": false }' | apify call b2b_leads/linkedin-real-time-data-jobs-profiles-companies-posts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=b2b_leads/linkedin-real-time-data-jobs-profiles-companies-posts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Real-Time Data — Jobs, Profiles, Companies & Posts", "description": "Scrape LinkedIn jobs, profiles, companies & posts in real time — no browser, no login required. Fast, lightweight Apify actor with LinkedIn Jobs search filters, people search, company data, lead generation & recruiting. Structured JSON for CRM, AI, LLM, MCP & analytics. Up to 1,000 results per query", "version": "0.0", "x-build-id": "TCL5Z6uWfnPzAVhsw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/b2b_leads~linkedin-real-time-data-jobs-profiles-companies-posts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-b2b_leads-linkedin-real-time-data-jobs-profiles-companies-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/b2b_leads~linkedin-real-time-data-jobs-profiles-companies-posts/runs": { "post": { "operationId": "runs-sync-b2b_leads-linkedin-real-time-data-jobs-profiles-companies-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/b2b_leads~linkedin-real-time-data-jobs-profiles-companies-posts/run-sync": { "post": { "operationId": "run-sync-b2b_leads-linkedin-real-time-data-jobs-profiles-companies-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "enableJobs": { "title": "Jobs", "type": "boolean", "description": "Scrape LinkedIn job postings with full descriptions and hiring criteria. Enabled by default.", "default": true }, "jobKeywords": { "title": "Job keywords", "type": "array", "description": "Main job search keywords — same as the LinkedIn Jobs search box. One search per keyword.", "default": [ "software engineer" ], "items": { "type": "string" } }, "jobTitle": { "title": "Job title", "type": "string", "description": "Title filter (e.g. \"Software Engineer\"). Combined with keywords for precise LinkedIn Jobs results.", "default": "Software Engineer" }, "jobCompany": { "title": "Company", "type": "string", "description": "Company filter — search jobs at a specific company (e.g. \"Google\", \"Stripe\"). Leave empty for any company.", "default": "" }, "jobLocation": { "title": "Job location", "type": "string", "description": "Location to search jobs in (e.g. \"United States\", \"London\", \"Remote\").", "default": "United States" }, "jobExperienceLevels": { "title": "Experience levels", "type": "array", "description": "Filter jobs by experience level.", "items": { "type": "string", "enum": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior", "Director", "Executive" ] }, "default": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ] }, "jobTypes": { "title": "Job types", "type": "array", "description": "Filter jobs by employment type.", "items": { "type": "string", "enum": [ "full_time", "part_time", "contract", "temporary", "internship", "volunteer" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Volunteer" ] }, "default": [ "full_time", "part_time", "contract", "temporary", "internship", "volunteer" ] }, "jobRemote": { "title": "Workplace type", "type": "array", "description": "Filter jobs by on-site / remote / hybrid.", "items": { "type": "string", "enum": [ "onsite", "remote", "hybrid" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] }, "default": [ "onsite", "remote", "hybrid" ] }, "jobDatePosted": { "title": "Date posted", "enum": [ "any", "month", "week", "day" ], "type": "string", "description": "Only return jobs posted within this window.", "default": "any" }, "jobSort": { "title": "Sort jobs by", "enum": [ "relevance", "date" ], "type": "string", "description": "Relevance or most recent.", "default": "relevance" }, "jobsPerQuery": { "title": "Jobs per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum jobs to return per keyword (1–1000).", "default": 25 }, "fetchJobDetails": { "title": "Fetch full job details", "type": "boolean", "description": "Fetch each job's full description and criteria (seniority, employment type, function, industry). Slightly slower but much richer.", "default": true }, "enableProfiles": { "title": "People Search", "type": "boolean", "description": "Find and scrape LinkedIn people profiles by URL/handle or by keyword with LinkedIn search filters.", "default": false }, "profileSearchMode": { "title": "Search mode", "enum": [ "url", "keyword" ], "type": "string", "description": "Choose how to find people: direct URLs/handles or keyword discovery.", "default": "url" }, "profileUrls": { "title": "Profile URLs or handles", "type": "array", "description": "LinkedIn profile URLs (https://www.linkedin.com/in/xxx) or bare handles.", "default": [], "items": { "type": "string" } }, "profileKeywords": { "title": "Keywords", "type": "array", "description": "Search keywords (e.g. \"software engineer\", \"data scientist fintech\"). Combine with filters below.", "default": [], "items": { "type": "string" } }, "profileLocation": { "title": "Location", "type": "string", "description": "Geographic filter (e.g. \"San Francisco Bay Area\", \"London\", \"United States\"). Strongly recommended for people search.", "default": "" }, "profileTitle": { "title": "Title / role", "type": "string", "description": "Job title filter (e.g. \"Software Engineer\", \"Product Manager\").", "default": "" }, "profileCurrentCompany": { "title": "Current company", "type": "string", "description": "Filter by current employer (e.g. \"Google\", \"Microsoft\").", "default": "" }, "profilePastCompany": { "title": "Past company", "type": "string", "description": "Filter by past employer.", "default": "" }, "profileIndustry": { "title": "Industry", "type": "string", "description": "Industry filter (e.g. \"Financial Services\", \"Information Technology\").", "default": "" }, "profileSchool": { "title": "School", "type": "string", "description": "School filter (e.g. \"Stanford University\", \"MIT\").", "default": "" }, "profilesPerQuery": { "title": "Profiles per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum profiles to return per keyword (1–1000).", "default": 25 }, "enableCompanies": { "title": "Companies", "type": "boolean", "description": "Find and scrape LinkedIn company pages by URL/name or by keyword with LinkedIn company filters.", "default": false }, "companySearchMode": { "title": "Search mode", "enum": [ "url", "keyword" ], "type": "string", "description": "Choose how to find companies: direct URLs/names or keyword discovery.", "default": "url" }, "companyUrls": { "title": "Company URLs or names", "type": "array", "description": "LinkedIn company URLs (https://www.linkedin.com/company/xxx) or bare universal names.", "default": [], "items": { "type": "string" } }, "companyKeywords": { "title": "Keywords", "type": "array", "description": "Search keywords (e.g. \"fintech\", \"AI startup\"). Combine with filters below.", "default": [], "items": { "type": "string" } }, "companyLocation": { "title": "Location", "type": "string", "description": "Geographic filter for company search.", "default": "" }, "companyIndustry": { "title": "Industry", "type": "string", "description": "Industry filter (e.g. \"Financial Services\", \"Software Development\").", "default": "" }, "companySize": { "title": "Company size", "type": "string", "description": "Company size filter (e.g. \"51-200 employees\", \"1001-5000\").", "default": "" }, "companyHeadquarters": { "title": "Headquarters", "type": "string", "description": "HQ location filter (e.g. \"San Francisco\", \"London\").", "default": "" }, "companiesPerQuery": { "title": "Companies per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum companies to return per keyword (1–1000).", "default": 25 }, "companyDiscoveryViaJobs": { "title": "Also discover companies via jobs", "type": "boolean", "description": "For keyword company search, also find companies actively hiring for the query via LinkedIn Jobs.", "default": true }, "enablePosts": { "title": "Posts & Activity", "type": "boolean", "description": "Scrape LinkedIn posts by URL, from a profile's activity feed, or by keyword with filters.", "default": false }, "postSearchMode": { "title": "Search mode", "enum": [ "url", "profile", "keyword" ], "type": "string", "description": "Choose how to find posts.", "default": "url" }, "postUrls": { "title": "Post URLs", "type": "array", "description": "LinkedIn post or activity URLs (full URLs or urn:li:activity:... references).", "default": [], "items": { "type": "string" } }, "activityProfiles": { "title": "Profile URLs", "type": "array", "description": "LinkedIn profile URLs or handles — loads recent posts from each profile's activity feed.", "default": [], "items": { "type": "string" } }, "postsPerProfile": { "title": "Posts per profile", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum posts to fetch per profile URL (1–500).", "default": 20 }, "postKeywords": { "title": "Keywords", "type": "array", "description": "Search keywords for post/content discovery (e.g. \"AI regulation\", \"product launch\").", "default": [], "items": { "type": "string" } }, "postLocation": { "title": "Location", "type": "string", "description": "Geographic filter for post search.", "default": "" }, "postAuthor": { "title": "Post author", "type": "string", "description": "Author name filter for post search.", "default": "" }, "postCompany": { "title": "Post company", "type": "string", "description": "Company filter — finds posts from or about a company.", "default": "" }, "postTopic": { "title": "Topic", "type": "string", "description": "Topic or theme filter (combined with keywords).", "default": "" }, "postDatePosted": { "title": "Date posted", "enum": [ "any", "month", "week", "day" ], "type": "string", "description": "Only return posts published within this window.", "default": "any" }, "postSort": { "title": "Sort posts by", "enum": [ "relevance", "date" ], "type": "string", "description": "Relevance or most recent.", "default": "relevance" }, "postsPerQuery": { "title": "Posts per keyword", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum posts to return per keyword (1–1000).", "default": 25 }, "includeComments": { "title": "Include top comments", "type": "boolean", "description": "Include top comments on each post (author name, comment text, like count).", "default": true }, "enableEnrichment": { "title": "Enable enrichment", "type": "boolean", "description": "Augment profiles and companies with additional data points from external sources.", "default": false }, "enrichEmailPatterns": { "title": "Corporate emails", "type": "boolean", "description": "Generate likely email addresses from a person's name and company domain (first.last@domain, flast@domain, …).", "default": true }, "enrichWikidata": { "title": "Wikidata facts", "type": "boolean", "description": "Enrich people and companies with Wikidata (description, official website, social links).", "default": true }, "enrichGithub": { "title": "GitHub developer data", "type": "boolean", "description": "If a GitHub profile is linked, pull bio, company, blog, location, repos, and followers.", "default": true }, "enrichCompanyWebsite": { "title": "Company website contacts", "type": "boolean", "description": "Fetch the company website and extract contact emails from home and contact pages.", "default": true }, "maxItems": { "title": "Max total items", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Global cap on the total number of records across all features.", "default": 1000 }, "includeRaw": { "title": "Include raw data", "type": "boolean", "description": "Attach the raw source payload under the raw field. Larger output.", "default": false }, "proxyConfiguration": { "title": "Proxy settings", "type": "object", "description": "Use Residential US proxy for best results and to avoid throttling.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```