π₯ LinkedIn Jobs Scraper β Multiple Titles & Locations in One!
Pricing
$1.00 / 1,000 results
π₯ LinkedIn Jobs Scraper β Multiple Titles & Locations in One!
This LinkedIn Job Scraper allows you to extract job listings across multiple job titles and locations: π Key Features: Input multiple job titles (e.g. "Software Engineer", "Data Analyst") Input multiple locations (e.g. "London", "New York", "Berlin") Filters by work type: On-site, Remote, Hybrid
5.0 (3)
Pricing
$1.00 / 1,000 results
0
Monthly users
6
Runs succeeded
>99%
Last modified
2 days ago
You can access the π₯ LinkedIn Jobs Scraper β Multiple Titles & Locations in One! programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll 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=lntb/linkedin-jobs-scraper---multiple-titles-locations-in-one"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing π₯ LinkedIn Jobs Scraper β Multiple Titles & Locations in One! via Model Context Protocol (MCP) server
MCP server lets you use π₯ LinkedIn Jobs Scraper β Multiple Titles & Locations in One! 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 π₯ LinkedIn Jobs Scraper β Multiple Titles & Locations in One! 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 "proxy": "{\\"useApifyProxy\\": true, \\"apifyProxyGroups\\": [\\"RESIDENTIAL\\"]}"
8},
9 "name": "lntb/linkedin-jobs-scraper---multiple-titles-locations-in-one"
10 }
11}'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 π₯ LinkedIn Jobs Scraper β Multiple Titles & Locations in One!
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 "lntb/linkedin-jobs-scraper---multiple-titles-locations-in-one"
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.
Pricing
Pricing model
Pay per resultΒThis Actor isΒ paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$1.00
