Work Scraper avatar

Work Scraper

Try for free

7 days trial then $40.00/month - No credit card required now

Go to Store
Work Scraper

Work Scraper

trudax/work-scraper
Try for free

7 days trial then $40.00/month - No credit card required now

Extract data from the top freelancing websites such as Upwork. Search by URL or search terms, filter by categories, English level, and hourly rate. Get info about freelancers and agencies without login. Download your data as an HTML table, JSON, CSV, Excel, or XML.

Developer
Maintained by Community

Actor Metrics

  • 16 Monthly users

  • No reviews yet

  • 7 bookmarks

  • >99% runs succeeded

  • Created in Jun 2020

  • Modified 23 days ago

You can access the Work 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=trudax/work-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Work Scraper via Model Context Protocol (MCP) server

MCP server lets you use Work 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 Work 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.upwork.com/search/profiles/"
9      ],
10      "maxItems": 1,
11      "searchFor": "talent",
12      "extendOutputFunction": "async () => {\\n  return { timestamp: Date.now() }\\n\\n}",
13      "proxy": {
14            "useApifyProxy": true
15      }
16},
17    "name": "trudax/work-scraper"
18  }
19}'

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 Work 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        "trudax/work-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.