# Upwork Basic Scraper (`bigfather/upwork-basic-scraper`) Actor

Scrape only the latest jobs. No searching. No filter. All the basic job metadata is sent. Up to 10k jobs per run. If you want unlimited access, check out https://trackgigs.com

- **URL**: https://apify.com/bigfather/upwork-basic-scraper.md
- **Developed by:** [K](https://apify.com/bigfather) (community)
- **Categories:** Automation, Integrations, Developer tools
- **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 4 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 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 Basic Scraper

This Actor extracts the latest job postings directly from Upwork. It does not support search queries or category filters. It simply returns the most recently posted jobs across all categories at the time of the run.

### Important Details

- **No Account Needed:** You do not need to provide Upwork login credentials or cookies. The scraping is handled entirely on our backend, meaning there is no risk of bans to your personal Upwork account.
- **Data Delay:** There is an approximate 80 second delay on the returned data. This is due to the backend scraping mechanism and IP rotation required to retrieve the listings.
- **Max Limit:** You can scrape up to 10,000 of the newest jobs in a single run.

### Input Configuration

The Actor requires only one input parameter.

| Field | Type | Description |
| :--- | :--- | :--- |
| `count` | Integer | The number of recent jobs to scrape. Maximum is 10000. |

### Example Input

```json
{
  "count": 500
}
```

### Example Output

```json
[
  {
    "title": "Ghost Writer for Tech & AI Tweets on X",
    "link": "https://www.upwork.com/jobs/Ghost-Writer-for-Tech-Tweets_~022038628093760578110/?referrer_url_path=/nx/search/jobs/",
    "payment_verified": "✅ Payment Verified",
    "rating": 5,
    "total_spent": "$10K+",
    "country": "Saudi Arabia",
    "job_type": "Hourly",
    "price": "Not specified",
    "duration": "3 to 6 months, 30+ hrs/week",
    "experience_level": "Intermediate",
    "description": "We need a sharp Ghost Writer to create daily engaging tweets and threads for a Tech & AI-focused X account[New account]\nWhat you'll do:\n• Write 8-15 tweets/threads per day on AI, LLMs, startups, Big Tech, and emerging trends\n• Turn complex AI topics and news into scroll-stopping, discussion-sparking content\n• Match a clear, insightful, and sometimes bold voice\nRequirements:\n• Strong knowledge of Tech & AI space\n• Proven experience writing high-engagement tweets (share samples)\n• Excellent concise writing + ability to ride trends fast",
    "skills": "Ghostwriting",
    "scraped_at": "2026-03-30T14:49:34.218Z",
    "job_id": "022038628093760578110"
  }
]
```

# Actor input Schema

## `count` (type: `integer`):

How many Upwork job listings to fetch (max 10000).

## Actor input object example

```json
{
  "count": 10
}
```

# 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("bigfather/upwork-basic-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("bigfather/upwork-basic-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 bigfather/upwork-basic-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bigfather/upwork-basic-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/OZJHNqeyjxKeXQxS3/builds/scJiyRQLAK29sF3HR/openapi.json