LinkedIn Scraper: All-in-One Data Extractor & Analyzer
3 days trial then $20.00/month - No credit card required now
LinkedIn Scraper: All-in-One Data Extractor & Analyzer
3 days trial then $20.00/month - No credit card required now
Scrape & Collect profiles, companies, posts, messages, reactions, and comments efficiently. Save 84% on costs while getting more functionality. Perfect for researchers, recruiters, sales teams, and marketers. Customizable, automated, and easy to integrate.
Agent-XActor Metrics
13 monthly users
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67% runs succeeded
0.45 hours response time
Created in Jan 2025
Modified 16 days ago
You can access the LinkedIn Scraper: All-in-One Data Extractor & Analyzer 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 Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=agent-x/linkedin-multi-functional-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing LinkedIn Scraper: All-in-One Data Extractor & Analyzer via Model Context Protocol (MCP) server
MCP server lets you use LinkedIn Scraper: All-in-One Data Extractor & Analyzer within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the LinkedIn Scraper: All-in-One Data Extractor & Analyzer Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "cookie": {
8 "li_at": "AQEDASp5C8kFE-KwAAABjLU1NbIAAAGM2UG5sk4AKQeJJk...",
9 "JSESSIONID": "ajax:853756...."
10 },
11 "operations": {
12 "operations": [
13 {
14 "retrieval_type": "Post_Content",
15 "url": "https://linkedin.com/in/sarah-smith-12345...",
16 "days_to_go_back": 7,
17 "number_of_posts": 5,
18 "deep_search": false,
19 "number_of_comments": 5,
20 "number_of_reactions": 5
21 },
22 {
23 "retrieval_type": "Post_From_URL",
24 "keywords": "artificial intelligence",
25 "extra_filters": ",geoUrn->103644278,network->F",
26 "deep_search": false,
27 "number_of_comments": 1,
28 "number_of_reactions": 1,
29 "number_of_search_pages": 1
30 },
31 {
32 "retrieval_type": "Company",
33 "url": "https://linkedin.com/company/acme-innovations..."
34 },
35 {
36 "retrieval_type": "LinkedIn_Profile",
37 "url": "https://linkedin.com/in/sarah-smith-12345..."
38 },
39 {
40 "retrieval_type": "Conversation_Detail",
41 "profile": "https://linkedin.com/in/sarah-smith-12345..."
42 }
43 ]
44 },
45 "proxyConfiguration": {
46 "useApifyProxy": true
47 },
48 "apifyToken": "apfy_act_1234567890abcdefghijklmn",
49 "webHookUrls": [
50 "https://api.company.com/webhook/linkedin"
51 ]
52},
53 "name": "agent-x/linkedin-multi-functional-scraper"
54 }
55}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for LinkedIn Scraper: All-in-One Data Extractor & Analyzer
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "agent-x/linkedin-multi-functional-scraper"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
