# Automatically Apply to Upwork Jobs (`big-brain.io/upwork-application`) Actor

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.

- **URL**: https://apify.com/big-brain.io/upwork-application.md
- **Developed by:** [Big Brain](https://apify.com/big-brain.io) (community)
- **Categories:** Jobs
- **Stats:** 191 total users, 0 monthly users, 10.0% runs succeeded, 23 bookmarks
- **User rating**: 1.37 out of 5 stars

## Pricing

$50.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Upwork Auto-Apply Bot

**This app is not affiliated with Upwork**

This bot receives a list of job application URLs and auto-apply to each one of them.

**Parameters**<br><br>
**username** - The username or email used to log in to Upwork.<br>
**password** - The password used to log in to Upwork.<br>
**url** - The application URL of the job. Multiple job URLs can be passed as an array. Looks like this: https://www.upwork.com/ab/proposals/job/{Job\_ID}/apply/#/<br>
**coverLetter** - The message you want to send as a cover letter to the job.<br>
**defaultAnswer** - Upwork asks a variable number of questions after the cover letter. This will be how each question after the cover letter is answered. Should be something generic, such as "Let's get on a call."<br>
**securityQuestion** - The answer to your Upwork security question.<br>
**proxyConfig** - This actor should be ran with a proxy. Choose a static or residential proxy group, or add a custom proxy.<br>
**debugMode** - If set to true, will return more detailed information.<br>
**testMode** - If set to true, will go through all of the steps, but not submit the job application.<br>
**agency** - Optional parameter to indicate whether the application should come from an Agency account. Should be an exact name to the Upwork Agency if used.<br>
**freelancer** - The freelancer's name on Upwork.<br>
**autoRefill** - Upwork requires credits to apply to jobs. If set to true, then the bot will automatically buy more credits with the payment method saved on your Upwork account. If set to false, the actor will stop running when you run out of credits.<br>
**autoRefillAmount** - The number of credits to purchase at once if **autorefill** is set to true.<br>
**ignoreDuplicateProposals** - If set to false, an error will show up when you attempt to apply to a job you already submitted an application for. If set to true, the actor will show a success status when attempting to apply to a job it already applied to.<br>

### Input example

```json
{
	"username": "USERNAME",
	"password": "PASSWORD",
	"startUrls": [{
		"url": "JOB_URL",
		"method": "GET"
	}],
	"coverLetter": "COVER_LETTER",
	"defaultAnswer": "DEFAULT_ANSWER",
	"securityQuestion": "SECURITY_ANSWER",
	"proxyConfig": {
		"useApifyProxy": true,
		"apifyProxyGroups": [
			"qfCaFFuCodXxAS59E"
		]
	},
	"debugMode": true,
	"testMode": false,
	"agency": "AGNECY",
	"freelancer": "FREELANCER",
	"autoRefill": true,
	"autoRefillAmount": "100",
	"ignoreDuplicateProposals": false,
	"boostProposal": false,
	"stepSize": 1,
	"maxBid": 20
    
}
```

# Actor input Schema

## `username` (type: `string`):

Username or Email of the account

## `password` (type: `string`):

Password of the account

## `startUrls` (type: `array`):

Job application URLs.

## `coverLetter` (type: `string`):

This text is placed in the cover letter field unless a custom cover letter text was set to the URL

## `defaultAnswer` (type: `string`):

This text is placed in each question field that is not the cover letter

## `securityQuestion` (type: `string`):

Upwork may request your security question to make sure it’s you accessing your account

## `proxyConfig` (type: `object`):

Select proxies to be used

## `debugMode` (type: `boolean`):

Enable debug mode

## `testMode` (type: `boolean`):

Run normally but skip the submission step

## `agency` (type: `string`):

Name of agency

## `freelancer` (type: `string`):

Name of freelancer

## `autoRefill` (type: `boolean`):

Check this if you want to auto refill connects when it’s below 10 connects

## `autoRefillAmount` (type: `string`):

Select the amount you want to refill

## `attachments` (type: `array`):

Direct links of files to attach

## `ignoreDuplicateProposals` (type: `boolean`):

Ignore the failure/error in case of an existing proposal

## `boostProposal` (type: `boolean`):

Boost the proposal to the top of the list

## `stepSize` (type: `integer`):

Increment size for bids

## `maxBid` (type: `integer`):

The maximum bid amount

## Actor input object example

```json
{
  "defaultAnswer": "Let's get on a call",
  "proxyConfig": {
    "useApifyProxy": true
  },
  "debugMode": false,
  "testMode": false,
  "autoRefill": false,
  "autoRefillAmount": "100",
  "attachments": [],
  "ignoreDuplicateProposals": false,
  "boostProposal": false
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "defaultAnswer": "Let's get on a call",
    "proxyConfig": {
        "useApifyProxy": true
    },
    "attachments": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("big-brain.io/upwork-application").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "defaultAnswer": "Let's get on a call",
    "proxyConfig": { "useApifyProxy": True },
    "attachments": [],
}

# Run the Actor and wait for it to finish
run = client.actor("big-brain.io/upwork-application").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "defaultAnswer": "Let'\''s get on a call",
  "proxyConfig": {
    "useApifyProxy": true
  },
  "attachments": []
}' |
apify call big-brain.io/upwork-application --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,big-brain.io/upwork-application"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fjV6maobW5msJHvjv/builds/jWmKHgcf0ysKkLdvz/openapi.json