# Upwork Jobs Scraper — Freelance Job Listings & Budgets (`hipersoft/upwork-scraper`) Actor

Scrape Upwork job listings by keyword: title, description, hourly range or fixed budget, experience level, duration, workload, skills and posting date. Filter by type, level and location. Export to JSON, CSV or Excel.

- **URL**: https://apify.com/hipersoft/upwork-scraper.md
- **Developed by:** [Hipersoft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.001 / job scraped

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?

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

## Upwork Jobs Scraper — Freelance Job Listings & Budgets

**Upwork Jobs Scraper** extracts public freelance job listings from Upwork by keyword: **title, description, hourly range or fixed budget, experience level, project length, workload, skills and posting date**. Filter by job type, level, length and client location, then export to JSON, CSV or Excel.

![Upwork Jobs Scraper input — searches, job type, level and filters](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/upwork-scraper-input.png?v=1)

### What does Upwork Jobs Scraper do?

It runs your Upwork job searches and returns one clean row per job. Run several searches at once; a job found by two searches is delivered and charged once. A test run collected 1,168 unique jobs across five searches in about two minutes.

**Client details aren't included.** This actor returns the job listing itself, not client spend, reviews or payment verification.

### What data can you scrape from Upwork?

| Data | Fields |
| --- | --- |
| Job | `jobId`, `title`, `description`, `url`, `publishedAt` |
| Pay | `jobType`, `hourlyMin`, `hourlyMax`, `fixedBudget` |
| Requirements | `experienceLevel`, `skills`, `duration`, `workload` |
| Context | `searchQuery`, `collectedAt` |

### Use cases

- **Freelancers and agencies:** catch new jobs that match your skills, on a schedule.
- **Rate research:** see what clients offer for a skill.
- **Skill demand:** track which tools and skills clients ask for.
- **Lead generation:** spot project demand in your niche.
- **Job alerts:** send new listings to Slack, Sheets or email with integrations.

### How to scrape Upwork jobs

1. Open Upwork Jobs Scraper.
2. Add your **job searches**.
3. Pick any filters.
4. Click **Start**.
5. Export to JSON, CSV, Excel or XML.

### Input

```json
{
  "queries": ["react developer"],
  "sort": "recency",
  "jobType": "0",
  "experienceLevel": ["2", "3"],
  "workload": "full_time",
  "minHourlyRate": 30,
  "maxAgeHours": 720,
  "maxResultsPerSearch": 40
}
```

| Field | Description |
| --- | --- |
| `queries` | What to search for. |
| `maxResultsPerSearch` | Jobs per search (default 100). |
| `sort` | `recency` (newest) or `relevance`. |
| `jobType` | `any`, `0` (hourly) or `1` (fixed price). |
| `experienceLevel` | `1` entry, `2` intermediate, `3` expert. |
| `duration` | `week`, `month`, `semester` or `ongoing`. |
| `workload` | `as_needed`, `part_time` or `full_time`. |
| `locations` | Client regions or countries. |
| `clientHires` | `0`, `1-9` or `10-`. |
| `minFixedBudget` | Drop fixed-price jobs below this (USD). |
| `minHourlyRate` | Drop hourly jobs whose top rate is below this (USD). |
| `maxAgeHours` | Only jobs posted in the last N hours. |

### Output

A real row from a test run, with the description shortened.

![Upwork Jobs Scraper output example — jobs with pay, level and link](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/upwork-scraper-output.png?v=1)

```json
{
  "jobId": "2118006378163258089",
  "title": "Seeking a Full-Stack Developer to Develop an AI-Based SaaS Product",
  "url": "https://www.upwork.com/jobs/~022118006378163258089",
  "jobType": "hourly",
  "hourlyMin": 56,
  "hourlyMax": 68,
  "fixedBudget": null,
  "experienceLevel": "Expert",
  "duration": "More than 6 months",
  "workload": "Full time",
  "skills": [
    "Next.js",
    "Node.js",
    "AI Development",
    "API Integration",
    "Web Development",
    "PostgreSQL",
    "AI Model Integration",
    "Full-Stack Development",
    "SaaS Development"
  ],
  "description": "We are looking for an experienced Full-Stack Developer to build an AI-powered SaaS invoici…",
  "publishedAt": "2026-11-04T15:45:47.099Z",
  "searchQuery": "react",
  "collectedAt": "2026-11-04T21:06:16.882481+00:00"
}
```

#### Output schema

| Field | Type | Description |
| --- | --- | --- |
| `jobId` | string | Upwork job ID. |
| `title` | string | Job title. |
| `url` | string (URL) | Link to the job. |
| `jobType` | string | `hourly` or `fixed`. |
| `hourlyMin` / `hourlyMax` | number | Hourly range in USD, when the client set one. |
| `fixedBudget` | number | Fixed budget in USD, when set. |
| `experienceLevel` | string | Entry level, Intermediate or Expert. |
| `duration` | string | Project length. |
| `workload` | string | Hours per week. Not set on fixed-price jobs. |
| `skills` | array | Skills on the listing. |
| `description` | string | Job description. |
| `publishedAt` | string (ISO date) | When it was posted. |
| `searchQuery` | string | The search that found it. |
| `collectedAt` | string (ISO date) | When the row was collected. |

### Need more freelance and job data?

- [Google Jobs Scraper](https://apify.com/hipersoft/google-jobs-scraper): jobs from many boards at once.
- [ATS Jobs Scraper](https://apify.com/hipersoft/ats-jobs-scraper): company career sites.

### FAQ

**How much does it cost?**
You pay per job delivered, shown on the **Pricing** tab. Set a maximum cost per run and it stops cleanly at that limit, storing only what you paid for.

**How many jobs can I get?**
That depends on the search. Popular searches returned 400 or more in testing, and narrower ones fewer. Run several searches for broader coverage.

**Can I get only new jobs?**
Yes. Schedule a run with sort **Newest** and a **Posted within** window.

**Can I connect this to other tools?**
Yes, through [integrations on the Apify platform](https://apify.com/integrations): [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2) and [webhooks](https://docs.apify.com/platform/integrations/webhooks).

**Is it legal to scrape Upwork?**
It returns publicly listed jobs. You are responsible for how you use them, including Upwork's terms and privacy law.

### Related Actors

- [Google Jobs Scraper](https://apify.com/hipersoft/google-jobs-scraper)
- [ATS Jobs Scraper](https://apify.com/hipersoft/ats-jobs-scraper)

### Notes

Independent tool, not affiliated with Upwork. Returns only public data; you are responsible for how you use it.

### Feedback

How did it go? Good or bad, a [review](https://console.apify.com/actors/mlC9j7AehQfr3XThe/reviews) helps other users decide and tells us what to improve. Something broken or missing? Open an [issue](https://apify.com/hipersoft/upwork-scraper/issues) and we'll look at it.

# Actor input Schema

## `queries` (type: `array`):

What to search for, one per line.

## `maxResultsPerSearch` (type: `integer`):

How many jobs to collect per search.

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

Result order.

## `jobType` (type: `string`):

Hourly or fixed price.

## `experienceLevel` (type: `array`):

Empty keeps all.

## `duration` (type: `string`):

How long the project runs.

## `workload` (type: `string`):

Hours per week.

## `locations` (type: `array`):

Regions or countries, such as Americas, Europe, Singapore.

## `clientHires` (type: `string`):

How many freelancers the client has hired.

## `minFixedBudget` (type: `integer`):

Drop fixed-price jobs below this amount (USD).

## `minHourlyRate` (type: `integer`):

Drop hourly jobs whose top rate is below this (USD).

## `maxAgeHours` (type: `integer`):

Only jobs posted in the last N hours. Use with sort Newest.

## `proxyConfiguration` (type: `object`):

Optional.

## Actor input object example

```json
{
  "queries": [
    "python developer"
  ],
  "maxResultsPerSearch": 100,
  "sort": "recency",
  "jobType": "any",
  "duration": "any",
  "workload": "any",
  "clientHires": "any"
}
```

# Actor output Schema

## `overview` (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 = {
    "queries": [
        "python developer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/upwork-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 = { "queries": ["python developer"] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/upwork-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 '{
  "queries": [
    "python developer"
  ]
}' |
apify call hipersoft/upwork-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/upwork-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/mlC9j7AehQfr3XThe/builds/chlJQAKlbSGaEgr3t/openapi.json