# 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
- **Stats:** 49 total users, 0 monthly users, 100.0% runs succeeded, 5 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

$5.00/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

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