Platform · Indeed

Indeed Data Scraping

A sponsored job is one employer paying for visibility. Counting it as extra demand misreads the market.

Indeed data scraping collects public job postings from the largest job site. Its results mix organic listings, many aggregated from employers' own sites, with paid sponsored placements, and jobs are applied for either on Indeed or on the employer's site. So each posting carries its placement and apply route, and copies of the employer's own posting are linked to it. Postings are deduplicated to one vacancy, salary stays empty where it is not published, and no candidate data, recruiter contact or login-only network is ever collected.

Visibility is bought. Vacancies are not multiplied by it.

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Free pilot on your own Indeed list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

indeed_sample.jsonl LIVE FEED

{"posting_key":"pk-10442","placement":"sponsored","apply_route":"redirect","redirect_domain":"employer site"} {"salary_min":62000,"salary_max":78000,"period":"year","pay_source":"employer"} {"sources_seen":4,"canonical_source":"employer_site"}

illustrative sample rows · globalpaid placement is not demand · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Indeed or its owners. Indeed and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

Our Data Powers

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Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

Indeed at a glance

How we handle Indeed specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Site: Indeed — Recruit Holdings
Placement: Sponsored or organic
Apply route: On Indeed or redirect
Sources: Direct posts and aggregated copies
So: placement, apply_route, canonical_source
Pay: Employer-posted or Indeed-estimated, kept apart
Glassdoor: Merged into Indeed Jul 2026; overlaps counted once
Refresh: Daily

Platform specifics

Paid placement is not demand

These are the reasons a Indeed dataset needs its own handling rather than a shared retail schema.

Placement and route

Indeed shows the same vacancy in different ways depending on who paid and where the application happens.

placement — sponsored or organic — as labelled on the page.
apply_route — on_site or redirect — and the redirect domain.
pay_source — employer or estimate — where the page distinguishes them.
canonical_source pointing to the employer's own posting where found.

Pay, and what we do not do

Pay data

Indeed's Hiring Lab publishes the share of postings with explicit pay as open data; that figure is Indeed's. Our own fill rate is reported per client scope. See our Glassdoor page.

Duplicates

Copies are collapsed to one canonical posting with every source counted, as the recruitment hub describes.

What we do not do

Collect CVs, profiles or applicant data, use employer or job-seeker accounts, collect recruiter names or contacts, or impute pay.

Scope

What we collect on Indeed, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Placement: sponsored or organic
Apply route and redirect domain
Pay with its source, null if unpublished
Canonical source where found
Agency postings flagged
First seen, closed and days open
Reposts linked
Title normalised, raw kept
Daily refresh

❌ What we do not, and why

CVs, profiles or applicant data
Employer or job-seeker accounts
Recruiter names or contacts
Imputed pay
Sponsored jobs counted as extra vacancies

Core Indeed fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
posting_key	Canonical identity
title_raw / title_normalised	As posted; taxonomy
company / company_domain	As posted; resolved
placement	sponsored or organic
apply_route / redirect_domain	As shown
salary_min / max / currency / period	Null if unpublished
pay_source	employer or estimate
location / work_mode	As posted
is_agency_posting	Flag
first_seen / closed_at	Dates
sources_seen	Count

Use cases

What teams do with Indeed data

Hiring demand tracking

Vacancies, not placements.

Pay benchmarking

Employer-posted pay only, with fill rate.

Competitor hiring

By employer domain.

The 24-hour sample — run on your sources, not ours

Send us a Indeed item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Indeed is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Indeed data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what jobs & recruitment data covers, and a Indeed-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Indeed data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

No. They are paid placements. We label them and count the vacancy once.

Yes, where the page distinguishes them. Estimates never enter posted-pay benchmarks.

Never.

Glassdoor merged into Indeed in July 2026. Overlapping listings are counted once.

No.

It depends on markets, volume and refresh.

Talk to us.

See real Indeed data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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