
Google Jobs Scraper
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Google Jobs Scraper
3 days trial then $20.00/month - No credit card required now
The most comprehensive Google Jobs Scraper ever! Extremely configurable, highly customizable, and blazing fast. Retrieve salary, social links, apply links, and all detailed sections. Both for data retrieval and API Integration. Easy use without any limits!
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93 monthly users
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>99% runs succeeded
1.3 days response time
Created in Dec 2023
Modified a day ago
You can access the Google Jobs Scraper 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=epctex/google-jobs-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Google Jobs Scraper via Model Context Protocol (MCP) server
MCP server lets you use Google Jobs Scraper 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 Google Jobs Scraper 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 "startUrls": [
8 "https://www.google.com/search?sca_esv=593729410&q=Software+Engineer+jobs&uds=AMIYvT8-5jbJIP1-CbwNj1OVjAm_ezkS5e9c6xL1Cc4ifVo4bFIMuuQemtnb3giV7cKava9luZMDXVTS5p4powtoyb0ACtDGDu9unNkXZkFxC0i7ZSwrZd_aHgim6pFgOWgs0dte0pnb&sa=X&ictx=0&biw=1621&bih=648&dpr=2&ibp=htl;jobs&ved=2ahUKEwjt-4-Y6KyDAxUog4kEHSJ8DjQQudcGKAF6BAgRECo"
9 ],
10 "maxItems": 20,
11 "endPage": 1,
12 "queries": [
13 "teacher"
14 ],
15 "locationUule": "w+CAIQICIIaXN0YW5idWw=",
16 "radius": 300,
17 "extendOutputFunction": "($) => { return {} }",
18 "customMapFunction": "(object) => { return {...object} }",
19 "proxy": {
20 "useApifyProxy": true
21 }
22},
23 "name": "epctex/google-jobs-scraper"
24 }
25}'
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 Google Jobs Scraper
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 "epctex/google-jobs-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.