# 🔥 Indeed Jobs Search Scraper (`powerai/indeed-jobs-search-scraper`) Actor

Collect job listings from an Indeed search results URL with clean, structured output.

- **URL**: https://apify.com/powerai/indeed-jobs-search-scraper.md
- **Developed by:** [PowerAI](https://apify.com/powerai) (community)
- **Categories:** Jobs, Lead generation, Integrations
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.99 / 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 Jobs Search Scraper

Provide an Indeed search results URL and collect job listings into a structured dataset.

### ✨ Key Features

- 📥 Input is an Indeed jobs search results URL
- 🧹 Output is normalized and ordered for downstream processing
- 📈 Handles larger datasets via incremental fetching

### 🎯 Good For

- Job market research
- Hiring and recruiting workflows
- Lead generation from public job listings
- Building internal analytics datasets

### 📝 Input

- `searchPageUrl` (required): Indeed search results URL
- `maxItems` (optional): Total number of records to collect

#### Input Example

```json
{
  "searchPageUrl": "https://www.indeed.com/jobs?q=ai&l=Houston%2C+TX",
  "maxItems": 50
}
```

### 📤 Output

Each dataset item is a single job listing.

#### Output Example

```json
{
  "roleTitle": "Account Executive – Ai & Tech Sales",
  "employerName": "OFFICErING",
  "locationText": "Houston, TX",
  "postedRelative": "18 days ago",
  "publishedAtEpoch": 1767333600000,
  "applyUrl": "http://www.indeed.com/applystart?...",
  "applyUrlSource": "thirdParty",
  "viewJobPath": "/viewjob?jk=...",
  "descriptionText": "Account Executive – AI & Tech Sales with upside Commissions Structure...",
  "descriptionHtml": "<div>...</div>",
  "payRange": { "max": 120000, "min": 48000, "type": "yearly" },
  "salaryHint": { "currency": "USD", "salaryTextFormatted": false, "source": "EXTRACTION", "text": "$48,000 - $120,000 a year" },
  "jobTypeTags": [],
  "city": "Houston",
  "state": "TX",
  "countryCode": "US",
  "geo": { "lat": 29.76328, "lng": -95.36327 },
  "stats": { "organicApplyStarts": 18 },
  "flags": {
    "isNew": false,
    "isRepost": false,
    "isRemote": false,
    "isSponsored": false,
    "isExpired": false,
    "urgentlyHiring": false,
    "highVolumeHiring": false
  },
  "ids": { "fccId": 90366904 },
  "scrapedAt": "2026-01-21T10:00:00.000Z"
}
```

# Actor input Schema

## `searchPageUrl` (type: `string`):

Paste an Indeed jobs search results URL.

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

How many job records to collect. Leave empty to collect all available.

## Actor input object example

```json
{
  "searchPageUrl": "ai"
}
```

# 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 = {
    "searchPageUrl": "ai"
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/indeed-jobs-search-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 = { "searchPageUrl": "ai" }

# Run the Actor and wait for it to finish
run = client.actor("powerai/indeed-jobs-search-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 '{
  "searchPageUrl": "ai"
}' |
apify call powerai/indeed-jobs-search-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PraaiZQkz4yPZHm5u/builds/P7XxWDFd7L27EyWVN/openapi.json