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.

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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

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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).

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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

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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

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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 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

{
  "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 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

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

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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.

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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.

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Quick start examples

Jobs only

{
  "enableJobs": true,
  "jobKeywords": ["data engineer"],
  "jobLocation": "United States",
  "jobsPerQuery": 50,
  "fetchJobDetails": true
}

People keyword search

{
  "enableJobs": false,
  "enableProfiles": true,
  "profileSearchMode": "keyword",
  "profileKeywords": ["software engineer"],
  "profileTitle": "Software Engineer",
  "profileLocation": "San Francisco Bay Area",
  "profilesPerQuery": 100
}

Profile + enrichment

{
  "enableJobs": false,
  "enableProfiles": true,
  "profileSearchMode": "url",
  "profileUrls": ["williamhgates"],
  "enableEnrichment": true
}

Posts by keyword

{
  "enablePosts": true,
  "postSearchMode": "keyword",
  "postKeywords": ["AI regulation"],
  "postDatePosted": "week",
  "postSort": "date",
  "postsPerQuery": 50
}

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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.

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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.

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Contact & custom work

Need something beyond this Actor? I build custom scrapers, data pipelines, and full-stack web applications for startups and enterprises.

• Email: dubem115@gmail.com
• GitHub: 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

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LinkedIn Real-Time Data · by DrunkCodes