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Basic Upwork Job Scraper

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Basic Upwork Job Scraper

Basic Upwork Job Scraper

Developed by

Nart Tok

Nart Tok

Maintained by Community

This is a simple actor that crawls Upwork job listings based on a single keyword. It extracts key details for each job, including the title, description, and URL, and outputs the data in a structured format. I made an AI job rating agent out of it, telegram me if you want one. @cutiecupid90

5.0 (1)

Pricing

Pay per usage

0

Total users

3

Monthly users

3

Runs succeeded

>99%

Last modified

5 days ago

You can access the Basic 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.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=nart/basic-upwork-job-scraper"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Basic Upwork Job Scraper via Model Context Protocol (MCP) server

MCP server lets you use Basic Upwork Job 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 Basic Upwork Job Scraper Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "keyword": "web development",
$ "maxResults": 10
$},
$ "name": "nart/basic-upwork-job-scraper"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Basic Upwork Job 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:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"nart/basic-upwork-job-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

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.