# Recruitee Jobs & Careers Scraper (`scrapers_lat/recruitee-jobs-scraper`) Actor
Scrape open jobs from any company careers site on Recruitee. Extract job title, location, city, country, department, employment type, experience level, remote status, salary range, apply URL and full description. Export JSON, CSV or Excel. No login or API key.
- **URL**: https://apify.com/scrapers\_lat/recruitee-jobs-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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
[](https://console.apify.com/actors/LJmRdaW8rCSmGJ9HP/input)
## Recruitee Jobs & Careers Scraper
> Extract every open job from any company hiring on Recruitee, straight from its public careers site, with title, location, department, salary range and full description
40+ fields per job
Any company on Recruitee
JSON / CSV / Excel output formats
### What you get
Point the scraper at one or more companies (the careers handle is the subdomain in a company's careers URL, for example a page at yourcompany.recruitee.com means the handle is yourcompany) and get every open role on that careers site as a structured record:
- **title**: the job title
- **company**: the hiring company name
- **status**: whether the posting is live
- **url**: the public link to the job posting
- **applyUrl**: the direct link to start an application
- **id**: the job posting ID
- **department**: the team the role sits in
- **category**: the job category, for example engineering, sales or finance
- **location**: the full location string for the role
- **city**, **state**, **country**, **countryCode**, **postalCode**: the location broken into parts
- **remote**, **hybrid**, **onSite**: how the role can be worked
- **employmentType**: full-time, part-time, contract, internship and similar
- **experienceLevel**: entry level, mid level, experienced, manager and similar
- **education**: the education level the employer asks for
- **minHoursPerWeek**, **maxHoursPerWeek**: the weekly hours range when set
- **salaryMin**, **salaryMax**, **salaryCurrency**, **salaryPeriod**: the pay range when the employer publishes one
- **tags**: employer labels attached to the role
- **languages**: languages the posting is available in
- **publishedAt**, **updatedAt**, **closeAt**: when the role went live, was last changed and closes
- **highlight\***: the short highlight summary of the role
- **description\***, **descriptionText\***: the full job description as HTML and as clean plain text
- **requirements\***, **requirementsText\***: the requirements section as HTML and as clean plain text
- **openQuestions\***: the application questions candidates are asked
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when Include full job details is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Track open roles at target companies for candidate outreach | Recruiters and staffing agencies |
| Read hiring signals to time sales and prospecting | Sales and revenue teams |
| Benchmark advertised pay ranges across roles and markets | Compensation and HR analysts |
| Monitor competitor headcount and team growth | Market and competitive researchers |
| Build a live job board or careers aggregator feed | Job board and marketplace builders |
### Frequently Asked Questions
**What is a Recruitee careers handle and how do I find it?**
The handle is the company slug in its careers URL. If a company advertises jobs at yourcompany.recruitee.com, the handle is yourcompany. You can paste the handle, the full careers URL, or the host and the scraper will normalize it. Add one entry per company you want to scrape.
**Does it include salary information?**
Yes. Whenever the employer publishes a pay range on a role, the scraper returns the minimum, maximum, currency and period as separate fields so you can sort and filter by pay. Roles without a published range simply leave those fields empty.
**Can I scrape several companies in one run?**
Yes. Add multiple companies and the scraper collects jobs from each careers site in turn, tagging every record with its company so you can tell them apart. The Max Items limit applies to the combined total.
**How do I filter to specific roles?**
Use the keyword filter to keep only jobs whose title, department, category, location or description contain your keyword, and use the employment type, experience level and remote-only options to narrow further. Leave them empty to return every open job.
**What happens if a company handle does not exist?**
The scraper records an error row for that company with the reason and moves on to the next one, so one bad handle never stops the run.
### Export, API and AI agents (x402 + MCP)
Export the scraped data to **JSON, CSV or Excel**, pull it as a **dataset** through the Apify **API**, or wire it into your app with **no code**. This web scraper and data extractor also works for bulk data extraction and scheduled runs.
For AI agents: this Actor is available on **x402**, Apify's agentic payment standard built with Coinbase. An AI agent can discover, pay for and run it on its own with a funded wallet and a single HTTP request: no account, no subscription, no API key and no human in the loop. It also runs as an **MCP** tool inside Claude, Cursor and other AI clients out of the box. Learn more about [x402 agentic payments on Apify](https://docs.apify.com/platform/integrations/x402).
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Greenhouse Job Board Listings Scraper](https://apify.com/scrapers_lat/greenhouse-jobs-scraper): Open roles from any company hiring on Greenhouse.
- [Lever Jobs & Careers Scraper](https://apify.com/scrapers_lat/lever-jobs-scraper): Job postings from company careers sites on Lever.
- [Ashby Jobs & Careers Scraper](https://apify.com/scrapers_lat/ashby-jobs-scraper): Open positions from company boards on Ashby.
- [SmartRecruiters Jobs Scraper](https://apify.com/scrapers_lat/smartrecruiters-jobs-scraper): Job listings from company careers pages on SmartRecruiters.
- [Indeed Jobs & Salary Scraper](https://apify.com/scrapers_lat/indeed-jobs-scraper): Job postings and pay ranges from Indeed.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Recruitee or Tellent. It only accesses data that is publicly available on company careers sites. Use it in accordance with the applicable terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of jobs to collect across all companies. Optional.
## `withDetails` (type: `boolean`):
When enabled, each job includes the full HTML description, plain-text description, requirements, highlight summary and application questions. When disabled, only the core listing fields (title, location, department, salary, dates, apply URL) are collected.
## `companies` (type: `array`):
The companies to scrape. Enter each company's Recruitee careers handle (the subdomain in its careers URL, for example a page at yourcompany.recruitee.com means the handle is "yourcompany") or paste the full careers URL. Add one entry per company.
## `searchQuery` (type: `string`):
Optional keyword to filter jobs after they are fetched. Matches against the job title, department, location, category and description (case-insensitive). Leave empty to return every open job.
## `employmentType` (type: `string`):
Optional. Keep only jobs with this employment type.
## `experienceLevel` (type: `string`):
Optional. Keep only jobs at this experience level.
## `remoteOnly` (type: `boolean`):
When enabled, keep only jobs flagged as remote.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"companies": [
"vacancies",
"jobs"
],
"employmentType": "",
"experienceLevel": "",
"remoteOnly": false
}
````
# 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 = {
"maxItems": 10,
"companies": [
"vacancies",
"jobs"
],
"searchQuery": ""
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/recruitee-jobs-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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);
});
// 📚 Want to learn more 📖? Go to → 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 = {
"maxItems": 10,
"companies": [
"vacancies",
"jobs",
],
"searchQuery": "",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/recruitee-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10,
"companies": [
"vacancies",
"jobs"
],
"searchQuery": ""
}' |
apify call scrapers_lat/recruitee-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/recruitee-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Recruitee Jobs & Careers Scraper",
"description": "Scrape open jobs from any company careers site on Recruitee. Extract job title, location, city, country, department, employment type, experience level, remote status, salary range, apply URL and full description. Export JSON, CSV or Excel. No login or API key.",
"version": "0.1",
"x-build-id": "N5Fr7vOUiBPOnzo3w"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~recruitee-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-recruitee-jobs-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~recruitee-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-recruitee-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~recruitee-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-recruitee-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"companies"
],
"properties": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of jobs to collect across all companies. Optional."
},
"withDetails": {
"title": "Include full job details",
"type": "boolean",
"description": "When enabled, each job includes the full HTML description, plain-text description, requirements, highlight summary and application questions. When disabled, only the core listing fields (title, location, department, salary, dates, apply URL) are collected.",
"default": true
},
"companies": {
"title": "Companies",
"type": "array",
"description": "The companies to scrape. Enter each company's Recruitee careers handle (the subdomain in its careers URL, for example a page at yourcompany.recruitee.com means the handle is \"yourcompany\") or paste the full careers URL. Add one entry per company.",
"items": {
"type": "string"
}
},
"searchQuery": {
"title": "Keyword filter",
"type": "string",
"description": "Optional keyword to filter jobs after they are fetched. Matches against the job title, department, location, category and description (case-insensitive). Leave empty to return every open job."
},
"employmentType": {
"title": "Employment type",
"enum": [
"",
"fulltime_permanent",
"fulltime_fixed_term",
"parttime_permanent",
"parttime_fixed_term",
"contract",
"internship",
"freelance",
"temporary"
],
"type": "string",
"description": "Optional. Keep only jobs with this employment type.",
"default": ""
},
"experienceLevel": {
"title": "Experience level",
"enum": [
"",
"student_school",
"student_college",
"entry_level",
"mid_level",
"experienced",
"manager",
"director",
"executive"
],
"type": "string",
"description": "Optional. Keep only jobs at this experience level.",
"default": ""
},
"remoteOnly": {
"title": "Remote jobs only",
"type": "boolean",
"description": "When enabled, keep only jobs flagged as remote.",
"default": false
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```