# Indeed Jobs Scraper (`databro/indeedjobsscraper`) Actor

Crawls Indeed job postings and extracts job title, company name, company logo, company website, location, location type (on-site, remote, etc.), country, date posted, valid through, employment type, salary range (min, max, currency, unit), and job description.

- **URL**: https://apify.com/databro/indeedjobsscraper.md
- **Developed by:** [Data Bro](https://apify.com/databro) (community)
- **Categories:** Jobs, Lead generation
- **Features:** Full permissions
- **Stats:** 105 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: 1.01 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## Indeed Jobs Scraper 📄💼

Extract structured job listings from Indeed with detailed metadata including company info, salary breakdowns, employment types, and more — in blazing-fast speed using Scrapy! ⚡

***

### 🔍 Input Example

````json
{
  "searchKeyword": "Python Developer",
  "maxItems": 50,
  "location": "Remote"
}

### Output Sample:

```json
{
  "title": "Python Developer",
  "company": "Tech Solutions Inc.",
  "companyLogo": "https://example.com/logo.png",
  "company_website": "https://www.techsolutions.com",
  "location": "New York, NY",
  "locationType": "Remote",
  "country": "US",
  "date_posted": "2025-04-05",
  "valid_through": "2025-05-01",
  "employment_type": "Full-time, Contract",
  "salary": {
    "min": 6000,
    "max": 8000,
    "currency": "USD",
    "unit": "MONTH"
  },
  "description": "We are looking for an experienced Python Developer to build backend services..."
}
````

### Why choose us Over other Actors on APIFY

- This actor is fastest and also cheapest among all since it uses Scrapy to extract data and extracts hundreds of rows of data Parallely in seconds.
- It uses very complex antibot bypass mechanism which enables it to scrape data without getting blocked ever.
- Other actors use slow methods like Selenium or Headless browsers which are unreliable, slow and costly as well since they consume too much of resource.
- We test our actors everyday to make sure your integrations keep running smoothly 24/7.
- Extract data in any format or integrate it easily with your API.

### Features ✨

Scrapes job data from Indeed using keyword and location filters.

Outputs a structured dataset ideal for analytics, dashboards, or integration.

Supports pagination and limit configuration.

Extracts:

Job title, company name, logo, and company website

Job location and remote/on-site status

Posting date and validity date

Employment type (full-time, contract, internship, etc.)

Salary range with currency and unit

Enriched job description

📋 Usage
Just provide a job keyword, target location, and max number of listings — this actor handles the rest!

# Actor input Schema

## `searchkeyword` (type: `string`):

Job query to search for on the page.

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

Get jobs from specific location only

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

Maximum number of items

## Actor input object example

```json
{
  "searchkeyword": "Web Developer",
  "location": "US",
  "maxItems": 20
}
```

# 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 = {
    "searchkeyword": "Web Developer",
    "location": "US",
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("databro/indeedjobsscraper").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 = {
    "searchkeyword": "Web Developer",
    "location": "US",
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("databro/indeedjobsscraper").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 '{
  "searchkeyword": "Web Developer",
  "location": "US",
  "maxItems": 20
}' |
apify call databro/indeedjobsscraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,databro/indeedjobsscraper"
        }
    }
}
```

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/6JpuvByeKvdrAfWFl/builds/uy3i7OsMEW7o3UfVl/openapi.json