# Global Job Data Scraper – Powered by Playwright and Apify (`kaitokido/indeed-job-scraper`) Actor

This actor scrapes job listings from Indeed with reliable Cloudflare bypass and detailed field extraction — including job titles, companies, salaries, ratings, and descriptions.

- **URL**: https://apify.com/kaitokido/indeed-job-scraper.md
- **Developed by:** [Lâm Mai](https://apify.com/kaitokido) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 42 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 🔍

A powerful, reliable, and fast Indeed job scraper built with Playwright and Crawlee. Extract job listings with detailed information including salary, ratings, and full descriptions without getting blocked.

### ✨ Features

- **🚀 Fast & Reliable** - Optimized scraping with smart panel-based extraction
- **🛡️ Anti-Bot Protection** - Human-like behavior to avoid Cloudflare blocks
- **💰 Rich Data** - Extract salary ranges, company ratings, and full job descriptions
- **🎯 Advanced Filtering** - Filter by job type, experience level, salary range, and more
- **🌍 Global Support** - Works with Indeed worldwide (US, UK, Canada, Australia, etc.)
- **📊 Clean Output** - Structured JSON data ready for analysis

### 📦 What Data Can You Extract?

Each job listing includes:

- **Basic Info**: Job title, company name, location
- **Details**: Full job description, salary range (when available)
- **Metadata**: Company rating, job type (full-time, part-time, etc.), date posted
- **Source**: Direct job URL for easy application

#### Sample Output

```json
{
    "title": "Senior Software Engineer",
    "company": "Google",
    "location": "San Francisco, CA",
    "salary": "$150,000 - $200,000 a year - Full-time",
    "rating": "4.5",
    "summary": "We are looking for a talented Senior Software Engineer...",
    "url": "https://www.indeed.com/viewjob?jk=...",
    "jobType": "Full-time",
    "postedDate": "3 days ago",
    "scrapedAt": "2025-10-08T15:30:00.000Z"
}
```

### 🚀 Quick Start

#### Basic Search

Simply provide a job title and location:

```json
{
    "jobTitle": "Software Engineer",
    "location": "San Francisco, CA",
    "maxJobs": 100,
    "parseCompanyDetails": true
}
```

#### Advanced Search with Filters

```json
{
    "jobTitle": "Data Scientist",
    "location": "New York, NY",
    "maxJobs": 200,
    "parseCompanyDetails": true,
    "remote": true,
    "jobType": "fulltime",
    "datePosted": "7",
    "experienceLevel": "senior_level",
    "minSalary": 100000,
    "maxSalary": 180000
}
```

#### Target Specific Companies

```json
{
    "jobTitle": "Frontend Developer",
    "location": "Seattle, WA",
    "maxJobs": 50,
    "parseCompanyDetails": true,
    "companies": "Google, Meta, Amazon, Microsoft",
    "excludeCompanies": "Contractor Inc"
}
```

### ⚙️ Input Configuration

| Field                 | Type    | Required | Description                                                                          |
| --------------------- | ------- | -------- | ------------------------------------------------------------------------------------ |
| `jobTitle`            | string  | ✅       | Job title or keywords (e.g., "Software Engineer")                                    |
| `location`            | string  | ✅       | City, state, or "Remote"                                                             |
| `maxJobs`             | number  | ❌       | Maximum jobs to scrape (default: 50)                                                 |
| `parseCompanyDetails` | boolean | ❌       | Extract detailed info by clicking job cards (default: false)                         |
| `saveOnlyUniqueItems` | boolean | ❌       | Avoid duplicates (default: true)                                                     |
| `remote`              | boolean | ❌       | Filter for remote jobs only (default: true)                                          |
| `jobType`             | string  | ❌       | Filter by type: `all`, `fulltime`, `parttime`, `contract`, `temporary`, `internship` |
| `datePosted`          | string  | ❌       | Days ago: `any`, `1`, `3`, `7`, `14`, `30`                                           |
| `experienceLevel`     | string  | ❌       | Level: `all`, `entry_level`, `mid_level`, `senior_level`, `director`, `executive`    |
| `minSalary`           | number  | ❌       | Minimum annual salary in USD                                                         |
| `maxSalary`           | number  | ❌       | Maximum annual salary in USD                                                         |
| `companies`           | string  | ❌       | Comma-separated list of target companies                                             |
| `excludeCompanies`    | string  | ❌       | Comma-separated list of companies to exclude                                         |

### 🎯 Use Cases

#### Job Market Research

Track salary trends, popular skills, and hiring patterns across industries and locations.

#### Job Aggregation

Build your own job board by collecting and organizing listings from Indeed.

#### Career Planning

Monitor job postings for specific companies or roles to plan your next career move.

#### Recruitment Intelligence

Identify hiring patterns, skill requirements, and compensation ranges for competitive analysis.

### 🔧 Performance Tips

#### For Speed

- Set `parseCompanyDetails: false` for faster scraping (basic info only)
- Increase `concurrency` to 5-10 for parallel processing
- Reduce `requestDelayMsMin` and `requestDelayMsMax`

#### For Reliability

- Keep `parseCompanyDetails: true` for complete data
- Use `concurrency: 2` (default) to avoid detection
- Set `advancedMode: true` for headful browser (more human-like)
- Keep delays at default values (1200-2500ms)

### 📊 Output Format

Results are saved to the Apify dataset in JSON format. You can export as:

- **JSON** - For programmatic access
- **CSV** - For Excel/Google Sheets
- **Excel** - Ready for analysis
- **HTML Table** - For web display

### 🔒 Legal & Ethics

- ✅ Only scrape publicly available job listings
- ✅ Respect Indeed's Terms of Service
- ✅ Use reasonable rate limits to avoid overloading servers
- ✅ Don't scrape personal information beyond what's publicly posted

### 🐛 Troubleshooting

#### Getting blocked by Cloudflare?

- Enable `advancedMode: true` for headful browser
- Reduce `concurrency` to 1-2
- Increase request delays

#### Not finding jobs?

- Check if your search parameters are too restrictive
- Try broader keywords
- Verify location spelling matches Indeed's format

#### Missing salary/rating data?

- Ensure `parseCompanyDetails: true` is set
- Not all jobs include salary information
- Some companies hide ratings

### 📝 Changelog

#### v1.0.0 (2025-10-08)

- ✅ Panel-based scraping to avoid Cloudflare blocking
- ✅ Smart salary and rating extraction
- ✅ Optimized performance with reduced delays
- ✅ Human-like clicking behavior
- ✅ Progress logging every 5 jobs

### 💬 Support

Need help? Have questions?

- 📧 Contact: \[Your contact info]
- 🐛 Report issues: \[GitHub Issues]
- 💬 Join discussion: \[Discord/Forum]

### 📄 License

ISC

***

Made with ❤️ using [Crawlee](https://crawlee.dev) and [Apify](https://apify.com)

# Actor input Schema

## `jobTitle` (type: `string`):

What job are you looking for? (e.g., Software Engineer, Data Scientist, Product Manager)

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

Where do you want to work? (e.g., San Francisco, CA or Remote)

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

How many job listings do you want to scrape?

## `minSalary` (type: `integer`):

Minimum salary filter (optional, leave empty for no filter)

## `maxSalary` (type: `integer`):

Maximum salary filter (optional, leave empty for no filter)

## `jobType` (type: `string`):

Type of employment

## `datePosted` (type: `string`):

How recent should the jobs be?

## `experienceLevel` (type: `string`):

What experience level are you targeting?

## `companies` (type: `string`):

Specific companies to focus on (optional, comma-separated)

## `excludeCompanies` (type: `string`):

Companies to exclude from results (optional, comma-separated)

## `remote` (type: `boolean`):

Include remote job opportunities?

## `outputFormat` (type: `string`):

How do you want the results formatted?

## `saveHtml` (type: `boolean`):

Save original job posting HTML for reference?

## `advancedMode` (type: `boolean`):

Enable advanced debugging features (e.g., force headful browser)

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of pages to crawl (advanced setting)

## Actor input object example

```json
{
  "jobTitle": "Software Engineer",
  "location": "San Francisco, CA",
  "maxJobs": 50,
  "minSalary": 100000,
  "maxSalary": 200000,
  "jobType": "all",
  "datePosted": "any",
  "experienceLevel": "all",
  "companies": "Google, Microsoft, Apple",
  "excludeCompanies": "Company1, Company2",
  "remote": true,
  "outputFormat": "detailed",
  "saveHtml": false,
  "advancedMode": false,
  "maxRequestsPerCrawl": 10
}
```

# 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("kaitokido/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("kaitokido/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 kaitokido/indeed-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kaitokido/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/6QaO0aCLgTovKywg9/builds/GshCPOw8bJk6rA5UA/openapi.json