# Upwork Jobs Scraper (`valig/upwork-jobs-scraper`) Actor

$0.2/1K jobs | Scrape targeted Upwork job listings with advanced filters for skills, budgets, clients, and project requirements.

- **URL**: https://apify.com/valig/upwork-jobs-scraper.md
- **Developed by:** [Vali G](https://apify.com/valig) (community)
- **Categories:** Jobs, Automation
- **Stats:** 37 total users, 7 monthly users, 100.0% runs succeeded, 4 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.14 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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

![](https://pub-f6a65c213d4f49948940882ac7589d61.r2.dev/apify/upwork-jobs-scraper/banner.jpg)

### 🚀 Overview

**Upwork Jobs Scraper** is a powerful Apify actor designed to extract job postings from Upwork. Whether you are a freelancer looking for your next gig, an agency tracking market demand, or a researcher analyzing the gig economy, this tool allows you to scrape highly targeted job listings using Upwork's native search filters.

### ✨ Features

This scraper supports an extensive set of search and filtering capabilities to ensure you get exactly the data you need:

- **Keyword Search:** Target specific job titles and descriptions.
- **Granular Categorization:** Filter by main categories (e.g., Web Development, Design, Accounting) and subcategories.
- **Project Specifications:** Filter by job type (Hourly vs. Fixed-Price), project duration, and expected weekly workload.
- **Contractor Requirements:** Specify the required experience level (Entry Level, Intermediate, Expert) and identify contract-to-hire roles.
- **Client Information:** Filter jobs based on client location, timezone, and previous hiring history on Upwork.
- **Custom Limits & Sorting:** Sort by relevance or recency and set an exact limit on the number of results to extract.

### ⚙️ Input Parameters

The actor is highly customizable. Below is a breakdown of the available input parameters you can configure:

| Field | Type | Default | Description |
| --- | --- | --- | --- |
| **`keywords`** | String | - | Keywords to search for in job titles and descriptions (e.g., "Software Developer"). |
| **`sort`** | Select | `relevance` | Sort results by `relevance` or `recency`. |
| **`category2_uid`** | Array | - | Select one or more broad job categories (e.g., Web, Mobile & Software Dev, Design & Creative). |
| **`subcategory2_uid`** | Array | - | Provide specific subcategory UIDs to narrow down the job niche. |
| **`contractor_tier`** | Array | - | Target specific experience levels: Entry Level (1), Intermediate (2), or Expert (3). |
| **`t`** | Array | - | Filter by Job Type: Hourly (0) or Fixed-Price (1). |
| **`client_hires`** | Array | - | Filter by the client's hiring history: No hires (0), 1-9 hires, or 10+ hires. |
| **`location`** | Array | - | Target specific client countries (e.g., "United States", "Canada"). |
| **`timezone`** | Array | - | Target specific client time zones (e.g., "America/New\_York"). |
| **`duration_v3`** | Array | - | Filter by project length (e.g., less than one month, 1-3 months, 3-6 months, ongoing). |
| **`workload`** | Array | - | Specify weekly hour requirements (e.g., less or more than 30 hrs/week). |
| **`contract_to_hire`** | Boolean | `false` | Set to true to only show roles that are marked as contract-to-hire. |
| **`limit`** | Integer | `100` | The maximum number of job postings you want to scrape. |

### 📊 Output Data Structure

The scraper extracts comprehensive details about each job posting, including budget, required skills, timestamps, and client insights. The results are stored in your Apify dataset and can be exported as JSON, CSV, Excel, etc.

Here is an example of the output format for a single job posting:

```json
{
  "id": "2054605878443018309",
  "cipherText": "~022054605878443018309",
  "url": "https://www.upwork.com/jobs/~022054605878443018309",
  "title": "Full-Stack Developer for Web Application",
  "jobType": "FIXED",
  "weeklyRetainerBudget": null,
  "hourlyBudgetMax": null,
  "hourlyBudgetMin": null,
  "hourlyEngagementType": null,
  "contractorTier": "IntermediateLevel",
  "sourcingTimestamp": null,
  "createTime": "2026-05-13T16:53:09.177Z",
  "publishTime": "2026-05-13T16:55:13.760Z",
  "enterpriseJob": false,
  "personsToHire": 1,
  "premium": false,
  "totalApplicants": 55,
  "hourlyEngagementDuration": null,
  "fixedPriceAmount": {
    "isoCurrencyCode": null,
    "amount": "100.0"
  },
  "fixedPriceEngagementDuration": {
    "id": "474250516458926082",
    "rid": 3,
    "label": "1 to 3 months",
    "weeks": 9,
    "ctime": "2014-06-04T17:59:10.123Z",
    "mtime": "2014-06-04T17:59:10.123Z"
  },
  "skills": [
    {
      "uid": "996364628025274383",
      "prefLabel": "JavaScript",
      "highlighted": false
    },
    {
      "uid": "1031626745118703616",
      "prefLabel": "HTML5",
      "highlighted": false
    },
    {
      "uid": "996364628025274385",
      "prefLabel": "PHP",
      "highlighted": false
    },
    {
      "uid": "1031626751737315328",
      "prefLabel": "jQuery",
      "highlighted": false
    }
  ],
  "client": {
    "paymentVerificationStatus": "VERIFIED",
    "country": "United States",
    "totalReviews": 21,
    "totalFeedback": 5,
    "hasFinancialPrivacy": false,
    "totalSpent": {
      "isoCurrencyCode": "USD",
      "amount": "3099.22"
    }
  },
  "description": "We are seeking a skilled full-stack developer to enhance our web application. The ideal candidate will have experience in both front-end and back-end development, with a strong understanding of web technologies. Responsibilities include developing new features, optimizing performance, and ensuring a seamless user experience. The role requires collaboration with our team to identify and prioritize project needs.\n\n\nThe work includes frontend and backend development, API integration, database handling, and performance optimization. We are looking for someone who writes clean, maintainable code and understands how to build scalable applications.\nResponsibilities\nDevelop and improve application features\nBuild responsive frontend interfaces\nCreate and maintain backend APIs\nWork with databases and authentication systems\nFix bugs and optimize application performance\nPreferred Skills\nMERN Stack (MongoDB, Express.js, React.js, Node.js)\nREST APIs\nPostgreSQL\nGit/version control\nBudget\nFixed Price: $100\nIdeal Candidate\nStrong full-stack development experience\nGood communication and problem-solving skills\nAttention to detail\nAbility to deliver clean and scalable work on time\nPlease share:\nRelevant projects or portfolio"
}
```

### 🚀 Common Use Cases

- **Lead Generation:** Automatically find and apply to high-value projects that match your exact skillset and pricing model.
- **Market Research:** Analyze trends in required skills, average budgets, and emerging technologies in specific categories.
- **Agency Optimization:** Monitor competitor activity and find clients who consistently hire for long-term (ongoing) projects.

# Actor input Schema

## `keywords` (type: `string`):

Keywords to search in job titles and descriptions

## `sort` (type: `string`):

Sort search results by relevance or recency

## `category2_uid` (type: `array`):

Select one or more categories

## `subcategory2_uid` (type: `array`):

Select one or more subcategories

## `contractor_tier` (type: `array`):

Select one or more experience levels

## `t` (type: `array`):

Select one or more job types

## `client_hires` (type: `array`):

Select one or more client hire histories

## `location` (type: `array`):

Select one or more client locations

## `timezone` (type: `array`):

Select one or more client time zones

## `duration_v3` (type: `array`):

Select one or more project lengths

## `workload` (type: `array`):

Select how many hours per week you want to work on the project

## `contract_to_hire` (type: `boolean`):

Show only contract-to-hire roles

## `limit` (type: `integer`):

Maximum results count

## Actor input object example

```json
{
  "keywords": "Software Developer",
  "sort": "relevance",
  "category2_uid": [
    "531770282580668418"
  ],
  "subcategory2_uid": [
    "531770282593251330"
  ],
  "location": [
    "Canada",
    "United States"
  ],
  "timezone": [
    "America/New_York"
  ],
  "limit": 100
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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("valig/upwork-jobs-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("valig/upwork-jobs-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 valig/upwork-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,valig/upwork-jobs-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/zxl6JzwzACkNsR5PQ/builds/vHJfg3UU643GunhtX/openapi.json