# Indeed Job Scraper (`admo-solutions/indeed-job-scraper`) Actor

Scrape job listings from Indeed using GraphQL API. Returns structured job data including title, company, location, salary, job type, description, and apply links.

- **URL**: https://apify.com/admo-solutions/indeed-job-scraper.md
- **Developed by:** [Admo Solutions](https://apify.com/admo-solutions) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Indeed Job Scraper

Scrape job listings from Indeed using their GraphQL API. Extract job titles, company info, salary data, and more.

### 💰 Pricing

This Actor uses the **Pay Per Event** pricing model:

| Event | Price |
|-------|-------|
| Actor run | $0.01 |
| Per job scraped | $0.005 |

For example, scraping 500 jobs in a single run costs: $0.01 + (500 × $0.005) = **$2.51**

### 📥 Input

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `searchQueries` | array | ✅ | `["software engineer"]` | Job titles or keywords to search for on Indeed |
| `locations` | array | ❌ | `[]` | Job locations to search in. Leave empty for worldwide |
| `maxJobs` | integer | ❌ | `100` | Maximum number of jobs to fetch per search query and location combination |
| `country` | string | ❌ | `"us"` | Indeed country domain to search (e.g., us, uk, ca, de) |
| `sortBy` | string | ❌ | `"relevance"` | How to sort search results. Options: `relevance`, `date` |
| `maxAgeDays` | integer | ❌ | `7` | Only return jobs posted within this many days |
| `proxyConfiguration` | object | ❌ | `{"useApifyProxy": true}` | Proxy settings for the actor |

#### Example Input

```json
{
  "searchQueries": ["software engineer", "data scientist"],
  "locations": ["New York", "San Francisco"],
  "maxJobs": 50,
  "country": "us",
  "sortBy": "relevance",
  "maxAgeDays": 14
}
```

### 📤 Output

Each job record contains:

| Field | Type | Description |
|-------|------|-------------|
| `job_id` | string | Unique job identifier |
| `title` | string | Job title |
| `company` | string | Company name |
| `location` | string | Formatted location string |
| `city` | string | City name |
| `state` | string | State/region code |
| `country` | string | Country name |
| `postal_code` | string | Postal/ZIP code |
| `salary_text` | string | Formatted salary range (e.g., "USD 80000 - 120000 /year") |
| `salary_min` | number | Minimum salary |
| `salary_max` | number | Maximum salary |
| `salary_currency` | string | Currency code (e.g., USD, EUR) |
| `salary_period` | string | Salary period (hour, day, week, month, year) |
| `job_type` | string | Employment type: fulltime, parttime, contract, internship |
| `is_remote` | boolean | Whether the job offers remote work |
| `description_html` | string | Full job description in HTML format |
| `description_snippet` | string | First 500 characters of description |
| `job_url` | string | Direct link to the job listing on Indeed |
| `apply_url` | string | Direct apply link |
| `date_posted` | string | Date when job was posted (YYYY-MM-DD) |
| `source` | string | Job source/employer name |
| `company_logo` | string | URL to company logo image |
| `company_url` | string | Link to company page on Indeed |
| `corporate_website` | string | Company's official website URL |
| `company_industry` | string | Industry sector |
| `company_employees` | string | Employee count range |
| `company_revenue` | string | Revenue range |
| `company_description` | string | Brief company description |
| `search_query` | string | The search query used to find this job |
| `scraped_at` | string | Timestamp when the job was scraped (ISO format) |

#### Example Output

```json
{
  "job_id": "abc123def456",
  "title": "Senior Software Engineer",
  "company": "Tech Corp",
  "location": "New York, NY",
  "city": "New York",
  "state": "NY",
  "country": "United States",
  "postal_code": "10001",
  "salary_text": "USD 120000 - 180000 /year",
  "salary_min": 120000,
  "salary_max": 180000,
  "salary_currency": "USD",
  "salary_period": "year",
  "job_type": "fulltime",
  "is_remote": true,
  "description_html": "<p>We are looking for a senior software engineer...</p>",
  "description_snippet": "We are looking for a senior software engineer to join our team...",
  "job_url": "https://www.indeed.com/viewjob?jk=abc123def456",
  "apply_url": "https://www.indeed.com/apply?jk=abc123def456",
  "date_posted": "2025-01-15",
  "source": "Tech Corp",
  "company_logo": "https://d2q79iu78704ce.cloudfront.net/...",
  "company_url": "https://www.indeed.com/cmp/Tech-Corp",
  "corporate_website": "https://techcorp.com",
  "company_industry": "Technology",
  "company_employees": "51-200",
  "company_revenue": "$10M-$50M",
  "company_description": "Tech Corp is a leading technology company...",
  "search_query": "software engineer",
  "scraped_at": "2025-01-15T10:30:00.000Z"
}
```

### 🔗 Integration

This Actor can be easily integrated with:

- **Zapier**: Use the "Run Actor" action with dataset polling
- **Make.com**: Use the HTTP module to call the Actor API
- **n8n**: Use the Apify node or HTTP Request node
- **OpenAI MCP**: Connect via the Apify MCP server

### ⚠️ Notes

- Uses Indeed's GraphQL API (same as the Indeed iOS mobile app)
- Supports job searches across multiple countries
- Automatically deduplicates jobs by job ID
- Salary data is extracted when available
- Company info includes logo, industry, and size data

# Actor input Schema

## `searchQueries` (type: `array`):

Job titles or keywords to search for on Indeed.

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

Job locations to search in. Leave empty for worldwide.

## `maxJobs` (type: `integer`):

Maximum number of jobs to fetch per search query and location combination.

## `country` (type: `string`):

Indeed country domain to search (e.g., us, uk, ca, de).

## `sortBy` (type: `string`):

How to sort search results.

## `maxAgeDays` (type: `integer`):

Only return jobs posted within this many days.

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

Proxy settings for the actor. Enables Apify Proxy to avoid IP blocks.

## Actor input object example

```json
{
  "searchQueries": [
    "software engineer"
  ],
  "locations": [],
  "maxJobs": 100,
  "country": "us",
  "sortBy": "relevance",
  "maxAgeDays": 7,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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("admo-solutions/indeed-job-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("admo-solutions/indeed-job-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 admo-solutions/indeed-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,admo-solutions/indeed-job-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/07q0nLoSWrvoolrbY/builds/wuHvi8qVbIxXgh3MH/openapi.json