Automatically Apply to Upwork Jobs
Pricing
$50.00/month + usage
Automatically Apply to Upwork Jobs
Pass a job application URL, Upwork login information, and messaging and automatically apply to a job. Pair with an Upwork's scraper to apply within minutes of a job being posted.
5.0 (1)
Pricing
$50.00/month + usage
11
Total users
154
Monthly users
14
Runs succeeded
73%
Issue response
4.5 days
Last modified
a month ago
You can access the Automatically Apply to Upwork Jobs 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=big-brain.io/upwork-application"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Upwork Job Auto Apply via Model Context Protocol (MCP) server
MCP server lets you use Upwork Job Auto Apply 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 Upwork Job Auto Apply 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": {$ "defaultAnswer": "Let'\''s get on a call",$ "proxyConfig": {$ "useApifyProxy": true$ },$ "attachments": []$},$ "name": "big-brain.io/upwork-application"$ }$}'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 Upwork Job Auto Apply
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", "big-brain.io/upwork-application" ], "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.
