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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

{
"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!