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🔍 Upwork - 🔥High Quality Job Scrapper

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Developed by

Paulo Oliveira

This API performs web scraping on Upwork, providing real-time access to job listings from various categories. It fetches up to 50 job records at a time, delivering valuable details. The API is designed to deliver fresh data every 10 minutes, ensuring you always have the latest job postings.

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

>99%

Issues response

46 days

Last modified

5 months ago

Automation

Jobs

Lead generation

You can access the 🔍 Upwork - 🔥High Quality Job Scrapper 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/sse?actors=paulo663636/upwork---high-quality-job-scrapper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with 🔍 Upwork - 🔥High Quality Job Scrapper

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=paulo663636/upwork---high-quality-job-scrapper 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=paulo663636/upwork---high-quality-job-scrapper",
            "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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