Upwork Job Scraper
Pricing
Pay per usage
Upwork Job Scraper
Effortlessly scrape Upwork jobs and receive instant alerts when new jobs matching your profile and skills are posted in upwork.
0.0 (0)
Pricing
Pay per usage
4
Total users
96
Monthly users
36
Runs succeeded
>99%
Issues response
37 days
Last modified
4 days ago
You can access the Upwork Job 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.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?actors=getdataforme/upwork-actor", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Configure MCP server with Upwork jobs Scraper Actor
You have a few options for interacting with the MCP server:
Use
mcp.apify.comviamcp-remotefrom your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/sse?actors=getdataforme/upwork-actoralong with an API token (or use OAuth).Connect to
mcp.apify.comvia Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=getdataforme/upwork-actor", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.
