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Indeed Job Scraper Ppr

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Indeed Job Scraper Ppr

Indeed Job Scraper Ppr

Pricing

from $1.00 / actor start

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LuisFMunizTorres

LuisFMunizTorres

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2 days ago

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Extract job listings from Indeed with multiple search queries, locations, and advanced filters.
Returns clean JSON with title, company, location, salary, description, and workplace type.

What does Indeed Scraper do?

Indeed Scraper allows you to extract job data from Indeed's job listings: job title, description, company name, location, salary, employment type, and more.
You can search by multiple job titles and locations in a single run, apply optional filters (full‑time, recent posts, remote work), and get structured results ready for analysis.

What job listing data can I extract?

With this Indeed API, you will be able to extract the following data from Indeed:

🧑‍💼 Job title | ⏱ Time of posting
📃 Job description | 🔗 URL
💵 Salary (when available) | 📍 Company name and location
🏠 Workplace type (remote / hybrid / on‑site) | 🕐 Employment type

Each result includes:

  • title – job title
  • company – company name
  • location – location text
  • snippet – short description from the listing card
  • link – direct URL to the Indeed job page
  • postedDate – relative time (e.g., “Today”, “1 day ago”)
  • salary – extracted salary text (if Indeed displays it)
  • description – full job description (from the detail page)
  • workplaceType – “remote”, “hybrid”, “on‑site”, or null
  • isRemote – boolean flag for remote positions

Why scrape Indeed?

🕵️ Conduct job market research or analysis by salary, rating, newness, etc.
✨ Monitor hiring trends for skills and technology gaps
🗂️ Create a custom database for available positions
📩 Automate the job search to speed up and simplify the process
💸 Salary benchmarking
🤺 Competition tracking

How do I use Indeed Scraper?

  1. Create a free Apify account using your email.
  2. Open Indeed Job Scraper PPR.
  3. In the Input tab, provide your search terms and locations (see Input section below).
  4. Click "Start" and wait for the data to be extracted.
  5. Download your data in JSON, CSV, Excel, HTML, or XML from the Dataset tab.

Input

The scraper accepts an object with the following fields:

ParameterTypeRequiredDescriptionExample
queriesarray of stringsYesJob titles or keywords to search["data analyst", "python developer"]
locationsarray of stringsYesLocations (city, state, “Remote”, or country)["Remote", "New York, NY", "Spain"]
maxResultsPerCombinationintegerYesMax results per query‑location pair50
jobTypestringNoEmployment type: fulltime, parttime, contract, internship, temporary, permanent, seasonal, freelance"fulltime"
fromDaysintegerNoOnly jobs posted within last N days: 1, 3, 7, 147
remotestringNoWorkplace filter: remote or hybrid"remote"
sortstringNoSort order: date or relevance"date"

Example input

{
"queries": ["data analyst", "python developer"],
"locations": ["Remote", "New York, NY"],
"maxResultsPerCombination": 50,
"jobType": "fulltime",
"fromDays": 7,
"remote": "remote",
"sort": "date"
}