Indeed Jobs Scraper | Salaries, Filters & Company Data API (2026)

Scrape Indeed job listings at scale — with salaries, full descriptions, and free company profiles — across 60+ countries. This Indeed scraper is the only one with a native salary-range filter, it returns every result page (not just the first), and it enriches each employer with a free company profile in a separate dataset.

⚡ No login, no proxy setup, no anti-bot tuning, no CAPTCHA work — it's a pure-API scraper (no fragile browser/HTML path), all handled inside the actor.

💰 $2 / 1,000 jobs · company profiles are free · free trial. New Apify users get a $5 credit (~2,500 jobs) on the first run.

Contents: What's different · Indeed API vs this · Use cases · Input · Output · Pricing · FAQ

What's different about this Indeed scraper

Most Indeed scrapers do the same basic search. These are the things competitors don't offer:

• 🏆 Native salary-range filter — filter at the source by minimum/maximum annual salary. Almost every other scraper makes you pull everything and filter afterward.
• 🏆 Every result page — auto date-window sharding breaks past Indeed's ~1,000-result depth ceiling, with honest retrieved-vs-estimated coverage reporting (no silent truncation).
• 🏆 Free company profiles — rating, review count, company size, industry, CEO, founded, revenue, website, and socials, in a separate dataset you're not billed for.
• 🏆 Pure-API & reliable — talks to Indeed's structured API, not a scraped HTML page, so there's no browser/Cloudflare surface to break.

Quick start (30 seconds): open the Input tab (it's pre-filled), set a keyword + location, click Start. Results stream into the Output tab — download as JSON, CSV, or Excel.

No-setup checklist — what other scrapers make you handle yourself:

• No login or Indeed account (public data only)
• No proxy configuration (Apify proxy bundled)
• No anti-bot tuning (handled inside the actor)
• No CAPTCHA handling
• No code for the form-based flow

Indeed's official API vs this scraper

Indeed's Publisher API is closed to new applicants and never exposed job-search filters or company data the way this actor does.

	Indeed Publisher API	This actor
Access	Closed / approval-gated	Apify account (free signup)
Setup time	Application + review	~30 seconds
Salary-range filter	—	✅ native
All result pages (past the ~1,000 cap)	—	✅ auto date-sharding
Free company profiles	—	✅ separate dataset, unbilled
Remote / date / type / level filters	limited	✅
Schedule / webhook delivery	bring your own	✅ native via Apify

What does the Indeed Jobs Scraper do?

Enter a search (or paste Indeed search/job URLs, or job keys) and it returns:

• Jobs — one structured row per listing, with the full description inline (no extra request).
• Companies (optional, free) — one deduped row per unique employer, with profile + ratings + firmographics.

Output renders in the run's Output tab with a dataset dropdown (Jobs / Companies). Download as JSON, CSV, or Excel, or pull via the Apify API.

Who it's for

• Recruiting & sourcing — monitor live openings by role, location, and company; build talent pipelines.
• Salary benchmarking — per-job pay ranges and compensation trends by title + market (with the native salary-range filter).
• Market & competitive research — track competitor hiring activity, hiring demand, company growth, and ratings.
• Skills & labor-market analysis — measure demand for specific skills, roles, and experience levels by region.
• Lead generation — find companies actively hiring, with firmographics.
• Data enrichment & ML — append company ratings/firmographics to your datasets, or feed job-recommendation/matching models and academic employment research.

More ideas on Apify's industry pages.

Common use cases

1. Salary benchmark for a role + market (the native filter no competitor has):

{ "query": "software engineer", "location": "San Francisco, CA", "salaryMin": 150000, "maxItems": 500 }

2. Fresh remote roles posted this week:

{ "query": "data analyst", "location": "Remote", "remote": "remote", "datePosted": "7", "sort": "date" }

3. Jobs + free company firmographics:

{ "query": "registered nurse", "location": "Chicago, IL", "scrapeCompany": true, "maxItems": 200 }

4. Look up specific jobs by key (refresh known listings):

{ "jobKeys": ["6e4040455f842cbd", "cc2175979cc7dfce"], "scrapeCompany": true }

How to scrape Indeed jobs

1. Enter a search keyword and location (or paste Indeed search/job URLs, or job keys).
2. Pick a country and optional filters (salary range, remote, date, job type, experience level).
3. Optionally toggle company profiles (free).
4. Click Start — results stream to the dataset as structured JSON (export to CSV, Excel, JSON, or API).

Input

Field	Type	Notes
query	string	Job title / keywords (e.g. "software engineer")
location	string	City, region, postal code, or "remote" — must match the chosen country
country	enum	60+ Indeed country sites (US, GB, CA, AU, IN, DE, FR, …)
maxItems	int	Cap per run; 0 = no limit (date-sharded past the ~1,000 ceiling)
sort	enum	relevance / date
radius	int	Distance from location (unit auto by country)
datePosted	enum	last 1 / 3 / 7 / 14 days
jobType	array	full-time, part-time, contract, temporary, internship, per diem
remote	enum	remote / hybrid
experienceLevel	enum	entry / mid / senior
salaryMin / salaryMax	int	Native annual salary-range filter
scrapeCompany	bool	Add the free company-profile dataset (default on)
startUrls	array	Indeed search or job URLs to scrape directly
jobKeys	array	Indeed jk= values for exact lookup

Output

Two datasets, joinable by companyKey. Company rows are free — you're billed per job only.

Jobs (one representative row):

{
  "jobKey": "6d50b3ebeb3fb122",
  "title": "Senior Software Engineer",
  "company": "Plaid",
  "companyRating": 4.1,
  "companyReviewCount": 312,
  "companyPageUrl": "https://www.indeed.com/cmp/Plaid",
  "location": "New York, NY",
  "city": "New York", "state": "NY", "countryCode": "US",
  "latitude": 40.7142, "longitude": -74.0059,
  "salary": "$120,000 - $160,000 a year",
  "salaryMin": 120000, "salaryMax": 160000, "salaryPeriod": "YEAR", "currency": "USD",
  "jobType": ["Full-time"],
  "occupations": ["Software Development Occupations", "Back End Developers"],
  "remote": "remote",
  "datePosted": "2026-06-10",
  "benefits": ["Health insurance", "401(k)"],
  "description": "…full job description…",
  "isUrgentHire": false,
  "easyApply": true,
  "url": "https://www.indeed.com/viewjob?jk=6d50b3ebeb3fb122"
}

Companies (when scrapeCompany is on — free):

{
  "companyKey": "2434d16763f36e79",
  "company": "Plaid",
  "rating": 4.1,
  "reviewCount": 312,
  "industry": "Internet and Software",
  "employees": "1,001-5,000",
  "revenue": "$100M-$500M",
  "ceo": "Zach Perret",
  "founded": 2013,
  "website": "https://plaid.com",
  "companyPageUrl": "https://www.indeed.com/cmp/Plaid",
  "facebook": "…", "twitter": "…", "instagram": "…"
}

You can download the dataset in JSON, CSV, Excel, or via the API.

Pricing — how much does it cost to scrape Indeed?

Pay-per-event: $0.01 per run + $2 per 1,000 job rows. Company-profile rows are free, and platform compute is included (no separate usage charge).

Example	Cost
100 jobs	~$0.21
1,000 jobs	~$2.01
10,000 jobs	~$20.01

Tiered discounts apply automatically by Apify plan: $2.00 → $1.80 (Starter) → $1.50 (Scale) → $1.20 / 1,000 on Business (40% off). The Apify Free plan includes $5/month of usage — about 2,500 jobs free every month.

Run on a schedule / Indeed jobs API

This actor doubles as an Indeed jobs API — call it from the Apify API or the Python / JS clients, and use Apify Schedules + Webhooks for incremental pulls (set datePosted to the last day and run daily).

Python

from apify_client import ApifyClient

# Get your token from https://console.apify.com/account/integrations?fpr=factden
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("factden/indeed-jobs-scraper").call(run_input={
    "query": "software engineer", "location": "New York, NY",
    "salaryMin": 150000, "maxItems": 200,
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["title"], job["company"], job.get("salary"))

FAQ

Does it get all jobs or just the first page? All result pages, up to your maxItems. It auto-shards by date window to break past Indeed's ~1,000-result depth ceiling, and reports retrieved-vs-estimated totals so you always know your coverage.

Can I filter by salary? Yes — a native salary-range filter (salaryMin/salaryMax), which most Indeed scrapers don't support.

Is company data really free? Yes. Company-profile rows go to a separate dataset that isn't billed — you only pay per job row.

What's the occupations field? Indeed's job-category taxonomy (e.g. "Software Development Occupations", "Back End Developers") — populated per job, useful for filtering/segmenting by category.

Which countries are supported? 60+ Indeed country sites (US, UK, Canada, Australia, India, Germany, France, and more). Make sure the location belongs to the chosen country.

Do I need an Indeed account or API key? No login, account, or proxy setup required.

How much does it cost? ~$2 per 1,000 jobs, with a free trial; company profiles are free.

Is scraping Indeed legal? This actor collects only publicly available data. Note that personal data is protected by GDPR (EU) and similar laws elsewhere — don't scrape personal data without a legitimate reason, and consult your lawyers if unsure. You are responsible for complying with Indeed's terms and applicable laws. See Apify's guide: is web scraping legal?.

More from factden

Researching software products? See our sibling actor G2 Reviews Scraper for B2B SaaS competitive intelligence and AI/RAG ingestion.

Hotel review data? See Trip.com & Ctrip Hotel Reviews Scraper for hospitality competitive intelligence and AI/RAG ingestion.

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Built by factden on the Apify platform. Try the Indeed Jobs Scraper free with Apify's $5 monthly credit.

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