Pricing

Pay per usage

Go to Apify Store

Free Upwork Job Scraper with Keyword, Job Count and Location

Try for free

Developed by

Alireza Eidgah

Free Apify actor scrapes Upwork jobs by keywords, client location , and configurable job count. Supports pagination to collect multiple pages. Outputs job title, URL, date, type, budget, description, and tags to JSON and Apify dataset. Ideal for freelancers seeking targeted opportunities.

3.1 (4)

Pricing

Pay per usage

Issues response

10 days

Last modified

a month ago

Automation

You can access the Free Upwork Job Scraper with Keyword, Job Count and Location 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?actors=alirezaeidgah/upwork-job-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Free Upwork Job Scraper with Keyword, Job Count and Location

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/?actors=alirezaeidgah/upwork-job-scraper 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/?actors=alirezaeidgah/upwork-job-scraper",
            "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.

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