# Teamtailor Jobs & Careers Scraper (`scrapers_lat/teamtailor-jobs-scraper`) Actor
Scrape jobs from any Teamtailor career site by company. Extract job title, department, location, remote status, employment type, posting date, salary when listed, apply URL and full description. Export JSON, CSV or Excel. No login or API key.
- **URL**: https://apify.com/scrapers\_lat/teamtailor-jobs-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Jobs, Lead generation, Automation
- **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/eddJZu8JzFVakMRiy/input)
## Teamtailor Jobs & Careers Scraper
> Extract every open role from any company career site running on Teamtailor, with title, department, location, remote status, employment type, posting date, salary when listed, apply URL and full description
Rich job records up to 25 fields
Any company on Teamtailor
JSON / CSV / Excel output formats
No login no API key
### What you get
Point the scraper at one or more Teamtailor career sites and get every open role as a structured record. Add a company as its Teamtailor subdomain (for example career for career.teamtailor.com), the full career site URL, or a custom career domain such as https://jobs.lunar.app. Each job comes back as:
- **title**: the job title
- **company**: the hiring company name
- **department**: the team or department the role sits in
- **location**: the work location shown on the listing
- **remoteStatus**: remote, hybrid or on-site when the employer marks it
- **employmentType\***: full-time, part-time, contract and similar
- **datePosted\***: when the role was published
- **validThrough\***: the application close date when the employer sets one
- **salaryMin / salaryMax\***: the salary range when the employer lists one
- **salaryCurrency\***: the currency of the listed salary
- **salaryUnit\***: the salary period, for example month or year
- **city / region / country\***: the structured job location
- **postalCode / streetAddress\***: the office address when provided
- **locations\***: every location attached to the role
- **description\***: the full job description as clean text
- **descriptionHtml\***: the full job description as HTML
- **url**: the public apply URL for the job
- **jobId**: the job posting ID
- **companySite**: the career site the job came from
- **observedAt**: when the scraper last saw the listing
*\*These fields only appear when Fetch 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 |
| Monitor competitor headcount and team growth | Market and competitive researchers |
| Build a live job board or careers aggregator feed | Job board and marketplace builders |
| Analyze roles, salaries, locations and departments at scale | Talent and labor market analysts |
### Frequently Asked Questions
**How do I point the scraper at a company?**
Add the company as its Teamtailor subdomain (the part before .teamtailor.com, for example career), the full career site URL, or a custom career domain such as https://jobs.lunar.app. You can mix all three formats and add one entry per company. The scraper normalizes each entry, so a subdomain that redirects to a custom domain still works.
**How many jobs can it return per company?**
It returns every open role on the career site, from a handful to several hundred per company. Use Max Items to cap the total across all companies when you only need a sample.
**Can I scrape several companies in one run?**
Yes. Add multiple companies and the scraper collects jobs from each site in turn, tagging every record with its companySite so you can tell them apart. The Max Items limit applies to the combined total.
**Do I get salary data?**
When an employer publishes a salary on the listing, the scraper captures the range, currency and period. Not every company lists pay, so salary fields are filled only when the employer shows them.
**How do I filter to specific roles?**
Use the Keyword filter to keep only jobs whose title, department or location contain your keyword, for example "engineer", "remote" or "sales". Leave it empty to return every open role.
**Do I need a login, API key or proxy?**
No. The scraper reads public career site data with no account and no key. A proxy is available as an option but is off by default and is not needed for normal runs.
### 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 ATS.
- [Indeed Jobs & Salary Scraper](https://apify.com/scrapers_lat/indeed-jobs-scraper): Job listings with salary and employment type from Indeed.
- [Seek Australia Jobs & Salary Scraper](https://apify.com/scrapers_lat/seek-jobs-scraper): Job listings and salary data from Seek Australia and New Zealand.
- [Jora Jobs & Salary Scraper](https://apify.com/scrapers_lat/jora-jobs-scraper): Job postings and pay ranges across Jora in Australia, NZ and Asia.
- [GetOnBrd LATAM Tech Jobs Scraper](https://apify.com/scrapers_lat/getonbrd-scraper): Latin American tech job listings with salary data.
- [LinkedIn Jobs & Company Scraper](https://apify.com/scrapers_lat/linkedin-jobs-scraper): Job postings with company, seniority and location fields.
### 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 Teamtailor. It only accesses data that is publicly available on company career sites. Use it in accordance with Teamtailor's 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 description, employment type, posting date, closing date, salary when the employer lists one, and the structured job location (city, region, country). When disabled, only the lightweight listing fields (title, department, location, remote status, apply URL) are collected.
## `companies` (type: `array`):
Companies to scrape. Add the Teamtailor subdomain (for example career for career.teamtailor.com), the full career site URL, or a custom career domain such as https://jobs.lunar.app. Add one entry per company.
## `searchQuery` (type: `string`):
Optional keyword to filter jobs after they are fetched. Matches against the job title, department and location (case-insensitive). Leave empty to return every open job.
## `proxyConfiguration` (type: `object`):
Optional proxy. Public career sites work without a proxy; enable one only if you run into rate limits or want a specific country.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"companies": [
"career",
"https://jobs.lunar.app",
"autolivgroup"
],
"proxyConfiguration": {
"useApifyProxy": 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": [
"career",
"https://jobs.lunar.app",
"autolivgroup"
],
"searchQuery": ""
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/teamtailor-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": [
"career",
"https://jobs.lunar.app",
"autolivgroup",
],
"searchQuery": "",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/teamtailor-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": [
"career",
"https://jobs.lunar.app",
"autolivgroup"
],
"searchQuery": ""
}' |
apify call scrapers_lat/teamtailor-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/teamtailor-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Teamtailor Jobs & Careers Scraper",
"description": "Scrape jobs from any Teamtailor career site by company. Extract job title, department, location, remote status, employment type, posting date, salary when listed, apply URL and full description. Export JSON, CSV or Excel. No login or API key.",
"version": "0.1",
"x-build-id": "XBw7T6bLPCZCsztBV"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~teamtailor-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-teamtailor-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~teamtailor-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-teamtailor-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~teamtailor-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-teamtailor-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": "Fetch full job details",
"type": "boolean",
"description": "When enabled, each job includes the full description, employment type, posting date, closing date, salary when the employer lists one, and the structured job location (city, region, country). When disabled, only the lightweight listing fields (title, department, location, remote status, apply URL) are collected.",
"default": true
},
"companies": {
"title": "Teamtailor career sites",
"type": "array",
"description": "Companies to scrape. Add the Teamtailor subdomain (for example career for career.teamtailor.com), the full career site URL, or a custom career domain such as https://jobs.lunar.app. 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 and location (case-insensitive). Leave empty to return every open job."
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Optional proxy. Public career sites work without a proxy; enable one only if you run into rate limits or want a specific country.",
"default": {
"useApifyProxy": 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
}
}
}
}
}
}
}
}
}
}
```