Indeed Jobs Scraper

Scrape public Indeed job listings by keyword and location. Returns structured job data with no login: title, company, location, salary, job type, posted date, description snippet, and the apply URL.

⚡ Part of a 74-scraper suite with 8,800+ runs · no login, no cookies, no ban risk.

💸 You are only charged for delivered results — empty searches, failed pages and duplicates are never billed.

What it does

Indeed is the largest job board in the world, and its search results are public — but they are rendered behind an embedded JSON payload and protected by an anti-automation layer that blocks ordinary HTTP clients. This actor drives a hardened browser to clear that layer, then reads the structured payload rather than scraping rendered HTML, so the fields you get back are the same ones Indeed's own front end uses.

You give it a search query, a location and a country. It walks the result pages and returns one clean record per job: title, company, location, salary string, job type, posting age, a parsed ISO posting date, a description snippet, and the flags Indeed exposes for urgently-hiring and sponsored listings. Every record carries the search_query and search_location that produced it, so a multi-search dataset stays attributable.

Input

Field	Type	Required	Default	Description
query	string	yes	"software engineer"	Job title, skill, or keyword to search for (Indeed's 'what' field).
location	string	no	"New York"	City, state, ZIP, or 'Remote' (Indeed's 'where' field). Leave empty for nationwide.
country	string	no	"US"	Which Indeed country site to search. Sets both the Indeed domain and the residential proxy exit country.
maxResults	integer	no	45	Maximum number of job listings to return. Each solved search page yields ~15-45 jobs.

Example input

{
  "query": "software engineer",
  "location": "New York",
  "country": "US",
  "maxResults": 45
}

Output

One record per job. Field list and example below are taken from a real run, not a mock-up.

Field	Type	Example
job_id	string	"82075119d56dbfed"
job_url	string	"https://www.indeed.com/viewjob?jk=82075119…
title	string	"Apprentice Electrician"
company	string	"Huckleberry Electric"
location	string	"Lynnwood, WA"
remote	boolean	false
salary	string	"$21 - $28 an hour"
job_type	string	"Full-time"
posted	string	"30+ days ago"
posted_date	string	"2026-06-11T05:00:00.000Z"
description	string	"Want to become a highly skilled residentia…
urgently_hiring	boolean	false
sponsored	boolean	true
search_query	string	"electrician"
search_location	string	"Seattle, WA"
scraped_at	string	"2026-07-27T08:55:11.044Z"

Example output

{
  "job_id": "82075119d56dbfed",
  "job_url": "https://www.indeed.com/viewjob?jk=82075119d56dbfed",
  "title": "Apprentice Electrician",
  "company": "Huckleberry Electric",
  "location": "Lynnwood, WA",
  "remote": false,
  "salary": "$21 - $28 an hour",
  "job_type": "Full-time",
  "posted": "30+ days ago",
  "posted_date": "2026-06-11T05:00:00.000Z",
  "description": "Want to become a highly skilled residential electrician. Assist journeyman electricians with residential service and installation projects.",
  "urgently_hiring": false,
  "sponsored": true,
  "search_query": "electrician",
  "search_location": "Seattle, WA",
  "scraped_at": "2026-07-27T08:55:11.044Z"
}

Use cases

• Recruitment market mapping — pull the same query weekly across cities to see who is hiring, at what salary, and how fast postings turn over.
• Compensation benchmarking — the salary string is captured verbatim as Indeed shows it, so you can band roles by title and location without a survey.
• Competitor headcount signals — track a named company's postings over time as a leading indicator of expansion or a new team.
• Lead generation for staffing agencies — companies posting urgently_hiring roles are in-market right now.
• Job-board aggregation — feed a niche board or newsletter with fresh, structured listings instead of an RSS scrape.
• Labour-market research — quantify remote versus on-site mix by filtering the remote boolean across a query set.

FAQ

Do I need an Indeed account or API key?

No. The actor reads publicly visible search results. There is no login step and you never supply credentials.

Which countries are supported?

Set country to the Indeed domain you want — US, UK, IN, CA, AU and the other country sites Indeed operates. location is passed through as typed, so it accepts anything the site's own location box accepts.

Why is salary a string rather than a number?

Because Indeed publishes it as a string and the shape varies — hourly ranges, annual ranges, 'From £X', or nothing at all. Parsing it to a number would force a guess and quietly lose the unit, so the field is preserved exactly as displayed and left for you to parse against your own rules.

How current are the results?

They are fetched live at run time. posted keeps Indeed's own relative wording and posted_date gives you a sortable ISO timestamp derived from it.

What happens if a search returns nothing?

You are not charged. Billing fires per delivered job, after the record is validated and stored, so an empty or blocked search costs nothing.

Billing

Pay per event: one job-scraped event per delivered record, charged only after the record is validated and stored. Empty results, blocked pages and duplicates are never charged. Store discounts apply automatically on paid Apify plans.

Use in Claude, ChatGPT & any MCP agent

This actor runs as an MCP server, so an AI agent can call it directly:

https://mcp.apify.com/?tools=themineworks/indeed-scraper

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("themineworks/indeed-scraper").call(run_input={"query": "software engineer", "location": "New York", "country": "US", "maxResults": 45})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Legal and compliance

This actor collects only publicly available information — the same data any visitor can see without logging in. It does not access private or authenticated areas, does not attempt to bypass paywalls, and collects no personal data beyond what the source already publishes openly. You are responsible for using the output in line with the source site's terms and with the data protection law that applies to you.

MIT © The Mine Works