# Welcome to the Jungle Companies Scraper (`parseforge/welcometothejungle-companies-scraper`) Actor
Discover companies on Welcome to the Jungle by keyword, sector, country, or locale across English, French, Spanish, Czech, Slovak, and German sites. Returns company name, size, industry, headquarters, founding year, logo, website, and profile URL for talent sourcing and market mapping.
- **URL**: https://apify.com/parseforge/welcometothejungle-companies-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $7.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## ๐ด Welcome to the Jungle Companies Scraper
> ๐ **Export Welcome to the Jungle company profiles in seconds. Name, sector, headcount, HQ city, open jobs, founded year, logo, and website.**
> ๐ **Last updated:** 2026-05-29 ยท **๐ 12 fields** per record ยท 100K+ employer profiles worldwide
The Welcome to the Jungle Companies Scraper turns [welcometothejungle.com](https://www.welcometothejungle.com) employer directory into a clean dataset. Pass a search query or filter by sector and country, and the actor paginates and normalizes every company.
Coverage spans tech startups, scale-ups, enterprises, and traditional employers across France, EU, UK, US, and beyond.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| ๐งฒ Talent leaders | Map employer brand landscapes |
| ๐ Market researchers | Sector breakdowns and headcount data |
| ๐ผ BD teams | Build prospect lists from hiring companies |
| ๐ค Recruiters | Identify scale-ups by open job volume |
### ๐ What the WTTJ Companies Scraper does
- Queries the public WTTJ company search endpoint.
- Paginates up to `maxItems`.
- Normalizes name, sector, headcount, HQ, open jobs, founded year, website, logo.
- Exports to CSV, Excel, JSON, JSONL, XML, RSS, HTML.
> ๐ก **Why it matters:** WTTJ has one of Europe's richest employer datasets, but manual exports are not available. This actor exposes it programmatically.
### ๐ฌ Full Demo
_๐ง Coming soon._
### โ๏ธ Input
Field
Type
Required
Description
query
string
No
Search keyword.
maxItems
integer
No
Free: 10. Paid: up to 1M.
locale
enum
No
en, fr, es, cs, sk, de.
sector
string
No
Sector slug.
country
string
No
ISO 2-letter code.
**Example 1:**
```json
{ "query": "fintech", "country": "FR", "maxItems": 100 }
````
**Example 2:**
```json
{ "sector": "software", "country": "DE", "maxItems": 200 }
```
> โ ๏ธ **Good to Know:** WTTJ uses Algolia for search. The actor calls the public search index directly. Public profile data only.
### ๐ Output
| Field | Type | Description |
|---|---|---|
| ๐ผ๏ธ `logoUrl` | string | Company logo. |
| ๐ข `name` | string | Company name. |
| ๐ `slug` | string | URL slug. |
| ๐ญ `sector` | string | Sector(s). |
| ๐ฅ `headcount` | string | Headcount band. |
| ๐ `hqCity` | string | HQ city. |
| ๐ `country` | string | ISO country code. |
| ๐ผ `openJobs` | number | Open job count. |
| ๐ `foundedYear` | number | Year founded. |
| ๐ `websiteUrl` | string | Company website. |
| ๐ `url` | string | WTTJ profile URL. |
| ๐ `scrapedAt` | string | Fetch time. |
| โ `error` | string | Errors. |
**Sample record:**
```json
{
"logoUrl": "https://cdn.welcometothejungle.com/.../logo.png",
"name": "Qonto",
"slug": "qonto",
"sector": "Fintech, SaaS",
"headcount": "1000-5000",
"hqCity": "Paris",
"country": "FR",
"openJobs": 42,
"foundedYear": 2017,
"websiteUrl": "https://qonto.com",
"url": "https://www.welcometothejungle.com/en/companies/qonto",
"scrapedAt": "2026-05-29T12:00:00.000Z",
"error": null
}
```
### โจ Why choose this Actor
| ๐ | EU/US/global employer coverage. |
| ๐ผ | Live open-job counts. |
| ๐งน | Clean BI-ready fields. |
| ๐ | Errors as clean records. |
| ๐พ | CSV / Excel / JSON / XML export. |
### ๐ How it compares to alternatives
| Approach | Setup | Sector filter | Headcount | Open jobs |
|---|---|---|---|---|
| Manual | hours | partial | partial | manual |
| Custom scraper | hours | partial | partial | partial |
| **This Actor** | 5 sec | โ | โ | โ |
### ๐ How to use
1. Click **Try for free**.
2. Enter `query`, optional `country`/`sector`.
3. Click **Start**.
### ๐ผ Business use cases
**๐ Market mapping.** Build sector landscapes by country.
**๐งฒ Talent intelligence.** Find fast-growing employers.
**๐ผ BD prospecting.** Filter by headcount and openings.
**๐ค Recruitment.** Identify peer companies for sourcing.
### ๐ Automating WTTJ Companies Scraper
- Make, Zapier, cron, webhooks, BigQuery integrations.
### ๐ Beyond business use cases
**๐ Academic.** Study tech-ecosystem growth.
**๐งช Personal.** Build a job-search target list.
**๐ค NGO.** Map mission-aligned employers.
**๐งฐ Prototyping.** Employer-data demos in seconds.
### ๐ค Ask an AI assistant about this scraper
Drop this README into your AI assistant for workflow mapping.
### โ Frequently Asked Questions
**โ Login?** No.
**โ Multi-country?** Yes via `country`.
**โ Sector?** Yes via slug.
**โ Open jobs?** Yes, live from WTTJ.
**โ Headcount?** As a band (e.g. 50-100).
**โ Pagination?** Automatic.
**โ Schedule?** Yes.
**โ Formats?** CSV, Excel, JSON, JSONL, XML, RSS, HTML.
**โ Official?** No, independent.
**โ Rate limits?** Reasonable, respect them.
### ๐ Integrate with any app
Native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, REST API and webhooks.
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [ParseForge OurAirports Scraper](https://apify.com/parseforge/ourairports-scraper) | Global airport database. |
| [ParseForge Alpha Vantage Scraper](https://apify.com/parseforge/alpha-vantage-public-scraper) | Market data, FX, crypto. |
| [ParseForge collection](https://apify.com/parseforge) | 900+ scrapers. |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge).
***
**Disclaimer:** Public data only. ParseForge is independent. Users must comply with WTTJ's ToS. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp).
# Actor input Schema
## `query` (type: `string`):
Keyword to filter companies (e.g. 'fintech', 'data').
## `maxItems` (type: `integer`):
Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000
## `locale` (type: `string`):
Site locale for the search.
## `sector` (type: `string`):
Optional sector slug (e.g. 'software', 'health').
## `country` (type: `string`):
ISO 2-letter country code to filter (e.g. FR, US).
## Actor input object example
```json
{
"query": "fintech",
"maxItems": 10,
"locale": "en"
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "fintech",
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/welcometothejungle-companies-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"query": "fintech",
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("parseforge/welcometothejungle-companies-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"query": "fintech",
"maxItems": 10
}' |
apify call parseforge/welcometothejungle-companies-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/welcometothejungle-companies-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Welcome to the Jungle Companies Scraper",
"description": "Discover companies on Welcome to the Jungle by keyword, sector, country, or locale across English, French, Spanish, Czech, Slovak, and German sites. Returns company name, size, industry, headquarters, founding year, logo, website, and profile URL for talent sourcing and market mapping.",
"version": "0.1",
"x-build-id": "DL3AL3EpheVNhbCyW"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~welcometothejungle-companies-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-welcometothejungle-companies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~welcometothejungle-companies-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-welcometothejungle-companies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~welcometothejungle-companies-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-welcometothejungle-companies-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"query": {
"title": "Search query",
"type": "string",
"description": "Keyword to filter companies (e.g. 'fintech', 'data')."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000"
},
"locale": {
"title": "Locale",
"enum": [
"en",
"fr",
"es",
"cs",
"sk",
"de"
],
"type": "string",
"description": "Site locale for the search.",
"default": "en"
},
"sector": {
"title": "Sector slug",
"type": "string",
"description": "Optional sector slug (e.g. 'software', 'health')."
},
"country": {
"title": "Country code",
"type": "string",
"description": "ISO 2-letter country code to filter (e.g. FR, US)."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```