Upwork Job Scraper avatar
Upwork Job Scraper

Pricing

Pay per usage

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Upwork Job Scraper

Upwork Job Scraper

Developed by

GetDataForMe

GetDataForMe

Maintained by Community

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

3

Total users

70

Monthly users

24

Runs succeeded

>99%

Issues response

15 days

Last modified

9 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.com via mcp-remote from 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-actor along with an API token (or use OAuth).

  • Connect to mcp.apify.com via 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.