# Talent Job Search Scraper – Cheap 🎯🔍💼🚨 (`scrapestorm/talent-job-search-scraper---cheap`) Actor

🔍 Easily collect job listings from Talent job platforms

Extract structured job data from Talent job search results, including job titles, company names, locations, job types, posting dates, job descriptions & more

Ideal for job market research, recruitment intelligence & hiring trend analysis 🌍

- **URL**: https://apify.com/scrapestorm/talent-job-search-scraper---cheap.md
- **Developed by:** [Storm\_Scraper](https://apify.com/scrapestorm) (community)
- **Categories:** Lead generation, Jobs, Developer tools
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$19.89/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

### Talent Job Search Scraper – Extract Job Listings from Talent Platforms 🔍💼🎯

Easily collect job listings from Talent job platforms, covering a wide range of roles such as Website Tester, Software Engineer, Data Scientist, and more 🌍🚀

This Apify actor extracts structured job data including job titles, company names, locations, job types, posting dates, job descriptions, promotion status, and direct job URLs — making it ideal for job market research, recruitment intelligence, and HR analytics.

The Talent Job Search Scraper is a fast, reliable, and cost-effective actor designed for scalable job data extraction and analysis.

### 🔍 What It Does

Provide a job keyword and location — the scraper handles the rest:

✅ Scrapes job listings from Talent job search results

✅ Keyword-based job search (Website Tester, Data Scientist, Software Engineer, etc.)

✅ Location-based filtering (country, city, or region exactly as listed)

✅ Posted date filtering (24h / 3d / 7d / 14d or anytime)

✅ Automatically handles pagination

✅ Extracts structured job metadata

✅ Limits results to a defined maximum number of jobs

✅ Outputs clean datasets ready for analysis

### 📦 Field Descriptions

| Field                | Description                      |
| -------------------- | -------------------------------- |
| 🆔 `jobId`           | Unique job identifier            |
| 💼 `jobTitle`        | Job title                        |
| 🏢 `companyName`     | Company name                     |
| 🖼️ `companyLogoUrl` | Company logo                     |
| 📍 `location`        | Job location                     |
| 🕒 `jobType`         | Employment type                  |
| 📄 `description`     | Job description                  |
| 🔗 `jobUrl`          | Job listing URL                  |
| ⏱️ `postedDate`      | Job posting date                 |
| ⭐ `isPromoted`       | Indicates if the job is promoted |

### 🛠 How to Use the Scraper

Getting started is simple:

1️⃣ Deploy the actor on Apify

2️⃣ Enter a job search keyword (e.g., Website Tester, Software Engineer)

3️⃣ Enter a location exactly as shown on the site (e.g., United Kingdom, London, New York)

4️⃣ (Optional) Select a posted date filter

5️⃣ Set the maximum number of jobs to scrape

6️⃣ Run the scraper

7️⃣ Export the dataset in your preferred format

Supported export formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

### 💡 Why Use This Scraper?

📊 Job Market Research – Analyze demand by role, location, and job type

🏢 Recruitment Intelligence – Identify companies actively hiring

📈 HR Analytics – Track promoted jobs, job types, and posting frequency

🌍 Geographic Analysis – Compare opportunities across countries and cities

🗂️ Dashboards & Databases – Automatically enrich your job datasets

### 💸 Pricing

This scraper operates on a monthly subscription model — you only pay for successful results.

💳 Price: $19.89 / month

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***

### ✏️ Input Schema Example

Use the following configuration to start scraping:

```
{
  "keyword": "Website Tester",
  "location": "United Kingdom",
  "posted_date": "last_7d",
  "max_items": 60
}

```

### 📤 Output Example

```
{
  "jobId": "987654",
  "jobTitle": "Website Tester",
  "companyName": "Digital QA Ltd",
  "companyLogoUrl": "https://talent-site.com/logos/digitalqa.png",
  "location": "United Kingdom",
  "jobType": "Contract",
  "description": "Test websites for usability, bugs, and performance across devices.",
  "jobUrl": "https://talent-site.com/jobs/website-tester-987654",
  "postedDate": "2 days ago",
  "isPromoted": "No"
}

```

### 📫 Support

😊 Leave us a 5-star rating ⭐⭐⭐⭐⭐ if you’re satisfied with the scraper

🌍 For any questions, specific needs, or issues, reach out through Apify's platform or via email - [Storm\_Scraper 🌪️🌩️](https://apify.com/scrapestorm)

# Actor input Schema

## `keywords` (type: `array`):

List of job search keywords (e.g., Website Tester, Data Scientist, Software Engineer). Each keyword is scraped separately, with its own job limit (see max\_items\_per\_keyword).

## `location` (type: `string`):

Job location exactly as shown on the site (e.g., United Kingdom, London, New York)

## `posted_date` (type: `string`):

Filter by posted date

## `max_items_per_keyword` (type: `integer`):

Maximum number of jobs to extract for each keyword

## Actor input object example

```json
{
  "keywords": [
    "Website Tester"
  ],
  "location": "United Kingdom",
  "posted_date": "anytime",
  "max_items_per_keyword": 60
}
```

# 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 = {
    "keywords": [
        "Website Tester"
    ],
    "location": "United Kingdom",
    "posted_date": "anytime",
    "max_items_per_keyword": 60
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapestorm/talent-job-search-scraper---cheap").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 = {
    "keywords": ["Website Tester"],
    "location": "United Kingdom",
    "posted_date": "anytime",
    "max_items_per_keyword": 60,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapestorm/talent-job-search-scraper---cheap").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 '{
  "keywords": [
    "Website Tester"
  ],
  "location": "United Kingdom",
  "posted_date": "anytime",
  "max_items_per_keyword": 60
}' |
apify call scrapestorm/talent-job-search-scraper---cheap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapestorm/talent-job-search-scraper---cheap"
        }
    }
}

```

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/2rplROMIbaWPbTdmC/builds/na8thUwekKPjkL3Jf/openapi.json