# Basic Upwork Job Scraper (`nart/basic-upwork-job-scraper`) Actor

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

- **URL**: https://apify.com/nart/basic-upwork-job-scraper.md
- **Developed by:** [Nart Tok](https://apify.com/nart) (community)
- **Categories:** Jobs, Automation
- **Features:** Full permissions
- **Stats:** 49 total users, 0 monthly users, 100.0% runs succeeded, 5 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

This is a simple Apify 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.
Features
Searches Upwork for job listings using one keyword.

Extracts:
Title: The job posting title.
Description: The job description text.
URL: The direct link to the job posting.

Outputs data in JSON format, compatible with Apify's dataset storage.
Input Configuration
The actor requires a simple JSON input to run. Below is an example:
json
{
"keyword": "web developer"
}

Input Fields
keyword (string, required): The search term to query Upwork job listings (e.g., "web developer", "graphic designer").
Output
The actor saves results to an Apify dataset. Each job listing is stored as a JSON object with the following fields:
json

{
"title": "Web Developer for E-commerce Site",
"description": "We need an experienced web developer to build a Shopify store...",
"url": "https://www.upwork.com/jobs/~01abc123def456"
}

# Actor input Schema

## `keyword` (type: `string`):

The job search term to query on Upwork (e.g. 'Shopify developer')

## `proxyGroups` (type: `array`):

Select proxy groups from Apify Proxy (leave empty if using custom proxies)

## `proxyCountry` (type: `string`):

Country for proxy geolocation

## `proxyUrls` (type: `array`):

Alternative proxy servers in format: http://user:pass@host:port

## Actor input object example

```json
{
  "keyword": "Shopify api",
  "proxyGroups": [
    "RESIDENTIAL"
  ],
  "proxyCountry": "US"
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nart/basic-upwork-job-scraper").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("nart/basic-upwork-job-scraper").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 '{}' |
apify call nart/basic-upwork-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nart/basic-upwork-job-scraper"
        }
    }
}
```

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/5aOO3Cdd6O5LxWxJm/builds/zLlBN5Y9CVFC3xMdf/openapi.json