# Indeed Job Search Scraper (`reverberant_equality/indeed-job-scraper`) Actor

Scrape job listings from Indeed.com by keyword and location. Extract job title, company, location, salary, posting date, and job URLs. Uses Cheerio for fast, low-cost scraping. Ideal for job market research, salary analysis, and recruitment lead generation.

- **URL**: https://apify.com/reverberant\_equality/indeed-job-scraper.md
- **Developed by:** [Jordan C](https://apify.com/reverberant_equality) (community)
- **Categories:** AI
- **Stats:** 1 total users, 1 monthly users, 83.2% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 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/platform/actors/running/actors-in-store#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 Search Scraper

A fast, CheerioCrawler-based Apify Actor that scrapes job listings from [Indeed.com](https://www.indeed.com) search results.

### Features

- **CheerioCrawler** — HTTP-based, 10x faster than browser-based scrapers
- **No JavaScript rendering needed** — Indeed search results are static HTML
- **Pagination support** — automatically pages through results
- **Structured output** — clean JSON with job title, company, location, salary, description, and URL
- **PPE (Pay Per Event)** — transparent usage-based pricing

### Input Parameters

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `keyword` | string | ✅ | — | Job search term (e.g., 'software engineer') |
| `location` | string | ❌ | `""` | City, state, zip, or 'remote' |
| `maxResults` | integer | ❌ | `50` | Max job listings to scrape (1–1000) |

#### Example Input

```json
{
    "keyword": "data scientist",
    "location": "New York, NY",
    "maxResults": 100
}
```

### Output Dataset Fields

| Field | Type | Description |
|-------|------|-------------|
| `jobTitle` | string | Job listing title |
| `company` | string | Employer name |
| `location` | string | Job location |
| `salary` | string | Salary range or rate (if available) |
| `description` | string | Short description snippet |
| `postingDate` | string | Relative posting date (if available) |
| `jobUrl` | string | Full URL to the job listing |
| `source` | string | Always `"Indeed"` |
| `scrapedAt` | string | ISO 8601 scrape timestamp |

### How It Works

1. Constructs search URLs like `https://www.indeed.com/jobs?q={keyword}&l={location}`
2. Uses CheerioCrawler to fetch and parse each search results page
3. Extracts job data using CSS selectors targeting Indeed's data-testid attributes
4. Follows pagination via the `&start=` parameter (0, 10, 20, …)
5. Stops when `maxResults` is reached or no more pages exist
6. Pushes structured data to the Apify dataset

### Usage

```bash
## Install dependencies
npm install

## Run locally
apify run

## Validate input schema
apify validate-schema

## Build for production
npm run build
```

### PPE Charges

| Event | Charge |
|-------|--------|
| `search-start` | $0.005 per search query |
| `job-result` | $0.002 per job found |

### Resources

- [Crawlee CheerioCrawler](https://crawlee.dev/api/cheerio-crawler)
- [Apify Actor Documentation](https://docs.apify.com/platform/actors)
- [Indeed](https://www.indeed.com)

# Actor input Schema

## `keyword` (type: `string`):

Job search term (e.g., 'software engineer', 'data scientist', 'nurse').

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

City, state, zip code, or 'remote' to filter by location. Leave empty for nationwide results.

## `maxResults` (type: `integer`):

Maximum number of job listings to scrape. Each page returns ~15 results, capped at 1000.

## Actor input object example

```json
{
  "keyword": "software engineer",
  "location": "remote",
  "maxResults": 50
}
```

# Actor output Schema

## `results` (type: `string`):

Link to the default dataset containing scraped job listings

# 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 = {
    "keyword": "software engineer",
    "location": "remote"
};

// Run the Actor and wait for it to finish
const run = await client.actor("reverberant_equality/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 = {
    "keyword": "software engineer",
    "location": "remote",
}

# Run the Actor and wait for it to finish
run = client.actor("reverberant_equality/indeed-job-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keyword": "software engineer",
  "location": "remote"
}' |
apify call reverberant_equality/indeed-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=reverberant_equality/indeed-job-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/SwZOqYuWviEnGCst3/builds/odXXLVJPCIUwt6kji/openapi.json