Pricing

from $3.99 / 1,000 jobs

Welcome to the Jungle Jobs: JSON/RAG Scraper

Scrape Welcome to the Jungle job listings with salary and location data across 50+ countries. Raw JSON or RAG-ready chunks. $3.99 per 1K jobs.

Pricing

from $3.99 / 1,000 jobs

Rating

0.0

(0)

Developer

GetAScraper

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Jobs

Social media

Lead generation

Job ID

jobId

Required

WTTJ unique job identifier.

Type:string

Example:2d4fbe25-352d-47a4-8280-bd6d4642cfb1

Reference

reference

Optional

WTTJ internal job reference code.

Type:string

Example:wttj_job_abc123

Object ID

objectId

Optional

Algolia object ID for this job listing.

Type:string

Example:2d4fbe25-352d-47a4-8280-bd6d4642cfb1

Slug

slug

Optional

URL-friendly job identifier.

Type:string

Example:data-engineer-visian-xxx

Job URL

url

Optional

Canonical job URL on welcometothejungle.com.

Type:string

Example:https://www.welcometothejungle.com/en/jobs/data-engineer-visian-xxx

Source Locale

sourceLocale

Optional

Language locale of the job listing.

Type:string

Example:en

Job Title

title

Required

Job title as posted on Welcome to the Jungle.

Type:string

Example:Data analytics engineer

Contract Type

contractType

Optional

Contract type.

Type:string

Example:full_time

Contract Type Label

contractTypeLabel

Optional

Human-readable contract type label.

Type:string

Example:Full-Time

Remote Policy

remotePolicy

Optional

Remote work policy for this position.

Type:string

Example:partial

Published At

publishedAt

Optional

ISO date of job posting.

Type:string

Example:2026-06-04T09:39:54Z

Minimum Experience

experienceMin

Optional

Minimum years of experience required.

Type:number | null

Example:3

Education Level

educationLevel

Optional

Required education level.

Type:string | null

Example:Bachelor

Profession

profession

Optional

Job profession category information.

Type:object

Company

company

Required

Hiring company information.

Type:object

Locations

locations

Optional

Array of location objects with city, country, countryCode, and region.

Type:object[]

Example:

[
  {
    "city": "Courbevoie",
    "country": "France",
    "countryCode": "FR",
    "region": "Ile-de-France"
  }
]

Primary Location

primaryLocation

Optional

Primary location as formatted string.

Type:string

Example:Courbevoie, France

City

city

Optional

Primary city.

Type:string

Example:Courbevoie

Country

country

Optional

Primary country.

Type:string

Example:France

Country Code

countryCode

Optional

Primary country ISO code.

Type:string

Example:FR

Salary

salary

Optional

Salary information when disclosed.

Type:object

Summary

summary

Optional

Short job summary or description.

Type:string | null

Example:Rejoignez Visian, une societe de conseil specialisee en innovation...

Profile

profile

Optional

Full job profile or description.

Type:string | null

Example:We are looking for a data engineer...

Benefits

benefits

Optional

Array of job benefits.

Type:string[] | null

Example:Remote work,Health insurance,Stock options

Apply URL

applyUrl

Optional

External application URL.

Type:string | null

Source Search URL

sourceSearchUrl

Optional

URL of the search query that produced this job.

Type:string

Input Index

inputIndex

Optional

Index of the input that produced this job.

Type:number

Scraped At

scrapedAt

Required

ISO timestamp of when the job was scraped.

Type:string

Example:2026-06-06T10:00:00.000Z

RAG Chunks

chunks

Optional

RAG mode only: array of tokenized text chunks.

Type:object[]

Example:

[
  {
    "idx": 0,
    "text": "Job Title: Data analytics engineer...",
    "tokens": 256
  }
]

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