Indeed Jobs Scraper API

Extract structured job listings from Indeed search results. This actor aggregates postings from multiple job boards via Indeed's search, delivering clean data for job boards, market analysis, or recruitment automation.

Key Features

• Multi-source aggregation: Fetches listings from thousands of job boards through a single Indeed query.
• Precise filtering: Filter by company, location, job type (Full-time, Part-time, Contract, Intern), and posting date.
• Performance optimized: Built for speed and low compute usage.
• Fresh data: Target recent postings like "today" or "3 days ago".
• API-ready: Integrates directly with Python, Node.js, Zapier, and Make.com.

Input Parameters

Configure the scraper using these JSON input parameters.

Example Input:

{
  "countryName": "usa",
  "locationName": "new york",
  "includeKeyword": "software engineer, python",
  "companyName": "indeed",
  "jobType": "FULLTIME",
  "datePosted": "week",
  "pagesToFetch": 3
}

Output Data

Results are stored in the default Apify dataset, downloadable as JSON, CSV, Excel, or XML.

Sample JSON Output:

[
  {
    "job_title": "Senior Frontend Developer",
    "company_name": "Tech Corp Inc.",
    "location": "New York, NY (Remote)",
    "posted_via": "LinkedIn",
    "salary": "$120,000 - $150,000 a year",
    "date": "2025-03-25",
    "job_type": "Full-time",
    "URL": "https://www.indeed.com/search?..."
  }
]

Output Fields:
* job_title: The role's official title.
* company_name: Hiring organization.
* location: Geographic location or remote status.
* posted_via: Original source platform (e.g., LinkedIn, Monster).
* salary: Provided pay range.
* date: Posting date.
* job_type: Employment type.
* URL: Direct link to the job listing.

How to Use

1. Run on Apify: Deploy and run the actor directly from the Apify platform.
2. Automate: Schedule periodic runs to keep data current.
3. Export: Integrate output with your CRM, website, or analytics tools.

Programmatic Usage

Run the actor via the Apify API using client libraries.

Python Example:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "countryName": "usa",
    "includeKeyword": "Data Scientist",
    "datePosted": "3days",
    "pagesToFetch": 1,
}
run = client.actor("orgupdate/...").call(run_input=run_input)