# Upwork Talent Search Scraper (`powerai/upwork-talent-scraper`) Actor

Collect rich freelancer profiles from any Upwork talent search link for faster recruiting decisions.

- **URL**: https://apify.com/powerai/upwork-talent-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** Lead generation, Jobs, Other
- **Stats:** 173 total users, 14 monthly users, 98.1% runs succeeded, 3 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

from $4.99 / 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.

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 Talent Search Scraper

Use this actor to turn any Upwork talent search page into a structured dataset of freelancers. Keep your existing filters, capture the key information that matters for recruiting, and analyze talent pools without manual copy-paste work.

### Features

- **Filter-friendly input:** Paste the exact Upwork search URL you already built and keep every keyword, location, or availability setting intact.
- **Profile intelligence:** Each profile includes names, titles, hourly rates, earnings, success metrics, availability tags, skills, and overview snippets for fast screening.
- **Quality highlights:** Surface Top Rated and Available Now badges plus the number of roles related to your query to prioritize outreach.
- **Hiring context:** Log locations, profile links, enriched descriptions, and curated skill lists so teams can compare candidates in one place.

### Input Parameters

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `searchUrl` | string | Yes | Full Upwork talent search URL with your filters |
| `maxItems` | integer | No | Maximum number of freelancer profiles to collect |
| `proxyConfiguration` | object | No | Optional proxy settings if you need them |

### Output

Every dataset item represents a freelancer profile and contains:

- `searchUrl`: The Upwork search URL that produced the record
- `name`: Freelancer name
- `profileId`: Upwork identifier (without the tilde)
- `profileUrl`: Direct profile link
- `title`: Headline shown in search results
- `location`: Freelancer-reported location
- `avatarUrl`: Profile image URL
- `rate`: Hourly rate as a number
- `jobSuccess`: Job Success Score percentage when available
- `earnings`: Lifetime earnings string (e.g., “$200k+ earned”)
- `hasAvailableNow`: Whether the freelancer shows the Available Now badge
- `hasTopRated`: Whether the freelancer carries a Top Rated badge
- `skills`: Array of listed skills surfaced on the card
- `description`: Short overview snippet
- `jobsRelatedCount`: Count of jobs Upwork marks as related to your search
- `scrapedAt`: Timestamp of when the profile was captured

Example output:

```json
[
  {
    "searchUrl": "https://www.upwork.com/nx/search/talent/?nbs=1&q=generative%20ai&price=HourlyRate_50-%2A",
    "name": "Amelia W.",
    "profileId": "01e5a4df0b0b3c1234",
    "profileUrl": "https://www.upwork.com/freelancers/~01e5a4df0b0b3c1234",
    "title": "Generative AI Product Strategist",
    "location": "San Francisco, United States",
    "avatarUrl": "https://www.upwork.com/profile-photos/01e5a4df0b0b3c1234",
    "rate": 120,
    "jobSuccess": 100,
    "earnings": "$400k+ earned",
    "hasAvailableNow": true,
    "hasTopRated": true,
    "skills": ["Product Strategy", "Prompt Engineering", "AI Consulting"],
    "description": "Helps venture-backed teams turn AI ideas into shipped experiences.",
    "jobsRelatedCount": 4,
    "scrapedAt": "2025-05-29T02:10:44.350Z"
  },
  {
    "searchUrl": "https://www.upwork.com/nx/search/talent/?nbs=1&q=generative%20ai&price=HourlyRate_50-%2A",
    "name": "Milos S.",
    "profileId": "019dcb27f856712345",
    "profileUrl": "https://www.upwork.com/freelancers/~019dcb27f856712345",
    "title": "Senior Machine Learning Engineer",
    "location": "Belgrade, Serbia",
    "avatarUrl": "https://www.upwork.com/profile-photos/019dcb27f856712345",
    "rate": 85,
    "jobSuccess": 96,
    "earnings": "$200k+ earned",
    "hasAvailableNow": false,
    "hasTopRated": true,
    "skills": ["Python", "LLM Fine-tuning", "Data Engineering"],
    "description": "Builds production-grade ML systems for SaaS companies and labs.",
    "jobsRelatedCount": 2,
    "scrapedAt": "2025-05-29T02:11:03.112Z"
  }
]
```

### Use Cases

- Build recruiter-ready shortlists for emerging skills like GenAI, Shopify, or RevOps
- Benchmark hourly rates and success metrics across multiple regions
- Enrich CRM or ATS records with fresh skill tags and profile links
- Track availability signals before kicking off outbound interviews
- Support agency delivery teams with curated freelancer inventories

### Notes

- Always review Upwork’s Terms of Service before distributing collected data
- Keep profile information current by scheduling recurring runs with the same URL
- Combine the dataset with job pipelines or CRM systems to speed up sourcing

***

**Start exploring Upwork talent pools with ready-to-use profile data.**

# Actor input Schema

## `searchUrl` (type: `string`):

Full Upwork talent search URL that already includes your filters

## `maxItems` (type: `integer`):

Maximum number of freelancer profiles to collect

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

Optional proxy settings for the run

## Actor input object example

```json
{
  "searchUrl": "https://www.upwork.com/nx/search/talent/?nbs=1&q=generative%20ai&proposal_count=0-4&english_level=fluent",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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("powerai/upwork-talent-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("powerai/upwork-talent-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 powerai/upwork-talent-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/upwork-talent-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/oiCEQguUceYs3zmE7/builds/FL80JkERM5rwvQfOw/openapi.json