Platform · Welcome to the Jungle

Welcome to the Jungle Data Scraping

A company page written by the employer is marketing. Useful marketing, labelled as such.

Welcome to the Jungle data scraping collects public job postings and company pages from the platform that started in France and bought Otta in 2024, since renamed Welcome to the Jungle in the UK. Its company pages carry employer-written content — culture, perks, team size — which is recorded as the employer's claims. Jobs are recorded per market, and Otta-era history is linked. 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.

Headcount on a company page is the company's figure. It is dated and attributed, not verified.

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

wttj_sample.jsonl LIVE FEED

{"market":"FR","salary_min":45000,"salary_max":55000,"currency":"EUR"} {"company_claims":"4-day week; remote budget","claim_source":"employer"} {"market":"UK","legacy_source":"otta"}

illustrative sample rows · FR / UK / USclaims beside jobs · schema v1.0

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

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Welcome to the Jungle at a glance

How we handle Welcome to the Jungle specifically

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

Site: Welcome to the Jungle
Otta: Bought Jan 2024; renamed in the UK
Company pages: Employer-written
So: claims attributed and dated
Markets: France, UK, US and others
Pay: Frequently shown; null if not
Employees: Photos and names not collected
Refresh: Daily; company pages monthly

Platform specifics

Claims beside jobs

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

Company content

Company pages feature staff photos and quotes; those are personal content and are not collected.

company_claims — perks, policies, team size — with claim_source: employer and date.
market on every job; Otta-era postings linked by legacy_source.
salary as posted; ranges kept as ranges.
work_mode and remote policy as stated.

Employees, and what we do not do

Employees

Staff names, photos and testimonials on company pages are not collected. Startup-focused ATS boards are on our Ashby page.

Duplicates

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

What we do not do

Collect staff names, photos or quotes, verify or restate employer claims as fact, use accounts, or collect candidate data.

Scope

What we collect on Welcome to the Jungle, 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

Company claims attributed and dated
Market on every job
Otta-era history linked
Pay as posted, null if not
Work mode and remote policy
Agency postings flagged
Lifecycle dates
Cross-board deduplication
Daily refresh

❌ What we do not, and why

Staff names, photos or quotes
Employer claims restated as fact
Accounts
Candidate data
Imputed pay

Core Welcome to the Jungle 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
market	As published
title_raw / title_normalised	As posted; taxonomy
company / company_domain	As posted; resolved
company_claims / claim_source	Employer
team_size_stated	Employer's figure, dated
salary_min / max / currency / period	Null if unpublished
work_mode / remote_policy	As stated
legacy_source	Otta
first_seen / closed_at	Dates
sources_seen	Count

Use cases

What teams do with Welcome to the Jungle data

Startup hiring

Across France, UK and US.

Employer brand analysis

Claims over time, attributed.

Remote policy tracking

As employers state them.

Pay benchmarking

Posted pay with fill rate.

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

Send us a Welcome to the Jungle 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.

Welcome to the Jungle is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Welcome to the Jungle 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 Welcome to the Jungle-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

Welcome to the Jungle data scraping: frequently asked questions

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

Yes, bought in 2024 and renamed in the UK.

No. They are the employer's claims, attributed and dated.

Never.

France, the UK, the US and others the platform serves.

Never.

It depends on markets and refresh.

Talk to us.

See real Welcome to the Jungle 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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