# SmartRecruiters Jobs & Salary Scraper (`scrapers_lat/smartrecruiters-jobs-scraper`) Actor
Scrape SmartRecruiters company job boards by company. Extract job title, location, department, industry, employment type, experience level, apply URL, full description and salary text. Export JSON, CSV or Excel. No login or API key.
- **URL**: https://apify.com/scrapers\_lat/smartrecruiters-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/d3nGgvNtegFaV211g/input)
## SmartRecruiters Jobs & Salary Scraper
> Extract every open job from any company hiring on SmartRecruiters, with title, location, department, industry, experience level, apply URL, full description and salary text
29 fields per record
Any company on SmartRecruiters
JSON / CSV / Excel output formats
Updated 2026-07-05
### What you get
Point the scraper at one or more company identifiers (the company slug in a careers URL, for example BoschGroup, Ubisoft2 or Equinox) and get every open role on that board as a structured record:
- **title**: the job title
- **company**: the hiring company name
- **companyId**: the company identifier the job came from
- **location**: the full work location for the role
- **city**: the city of the role
- **region**: the state or region of the role
- **country**: the two-letter country code of the role
- **remote**: whether the role is fully remote
- **hybrid**: whether the role is hybrid
- **department**: the department the role sits in
- **jobFunction**: the job function or category
- **industry**: the industry the role belongs to
- **employmentType**: full-time, part-time, contract and similar
- **experienceLevel**: the seniority level of the role
- **url**: the public job posting URL
- **applyUrl\***: the direct apply URL for the job
- **jobId**: the job posting ID
- **refNumber**: the employer reference number for the opening
- **releasedDate**: when the posting went live
- **language**: the language the posting is written in
- **salaryText\***: pay and compensation text pulled from the posting when the employer discloses it
- **recruiter\***: the name of the recruiter or hiring contact when listed
- **companyDescription\***: the about-the-company section as clean text
- **jobDescription\***: the full job description as clean text
- **qualifications\***: the requirements and qualifications section as clean text
- **additionalInformation\***: benefits and extra notes as clean text
- **descriptionText\***: the full posting body combined into one clean text field
- **customFields**: employer custom fields such as contract type, working hours or pay level
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when Fetch full job details is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Track open roles and salary ranges at target companies | Recruiters and staffing agencies |
| Read hiring signals to time sales and prospecting | Sales and revenue teams |
| Benchmark pay by role, location and seniority | Compensation and HR analysts |
| Build a live job board or ATS aggregator feed | Job board and marketplace builders |
| Monitor competitor headcount and team growth | Market and competitive researchers |
### Frequently Asked Questions
**What is a SmartRecruiters company identifier and how do I find it?**
The identifier is the company slug in its careers URL. If a company hires through jobs.smartrecruiters.com/BoschGroup, the identifier is BoschGroup. You can paste the identifier or the full careers URL. Identifiers are case-sensitive, so use them exactly as they appear. Add one per company you want to scrape.
**How many jobs can it return per company?**
It returns every open role on the board, which ranges from a handful to several thousand at large employers. Use Max Items to cap the total across all companies when you only need a sample.
**Does it capture salary information?**
Yes, when the employer publishes it. Pay is captured in salaryText and in the custom fields. Many roles in pay-transparency regions and hourly positions include a rate or range, while other employers do not disclose pay, in which case salaryText is empty.
**Can I scrape several companies in one run?**
Yes. Add multiple company identifiers and the scraper collects jobs from each board in turn, tagging every record with its companyId so you can tell them apart. The Max Items limit applies to the combined total.
**What happens if a company identifier does not exist?**
The scraper records an error row for that identifier with the reason and moves on to the next company, so one bad identifier 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 Greenhouse company board with full descriptions.
- [Indeed Jobs & Salary Scraper](https://apify.com/scrapers_lat/indeed-jobs-scraper): Job listings and pay ranges from Indeed across many countries.
- [LinkedIn Jobs & Company Scraper](https://apify.com/scrapers_lat/linkedin-jobs-scraper): Job postings with company, seniority and location fields.
- [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.
### 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 SmartRecruiters. It only accesses data that is publicly available on company job boards. Use it in accordance with SmartRecruiters' terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of job listings to collect across all companies. Optional.
## `withDetails` (type: `boolean`):
When enabled, each job includes the full description, qualifications, company description, apply URL, recruiter and salary text. When disabled, only the lightweight listing fields (title, location, department, dates) are collected.
## `companies` (type: `array`):
The companies whose job boards to scrape. Use the company identifier from its careers URL, for example a board at jobs.smartrecruiters.com/BoschGroup means the identifier is "BoschGroup". You can paste the identifier or the full careers URL. Identifiers are case-sensitive. Add one per company.
## `searchQuery` (type: `string`):
Optional keyword to filter jobs after they are fetched. Matches against the job title, department, location, function and description (case-insensitive). Leave empty to return every open job.
## `proxyConfiguration` (type: `object`):
Optional proxy. Not needed for normal runs. Enable it only if you scrape very large boards and start to see rate limiting.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"companies": [
"BoschGroup",
"Ubisoft2",
"Equinox"
]
}
````
# 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": [
"BoschGroup",
"Ubisoft2",
"Equinox"
],
"searchQuery": ""
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/smartrecruiters-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": [
"BoschGroup",
"Ubisoft2",
"Equinox",
],
"searchQuery": "",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/smartrecruiters-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": [
"BoschGroup",
"Ubisoft2",
"Equinox"
],
"searchQuery": ""
}' |
apify call scrapers_lat/smartrecruiters-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/smartrecruiters-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "SmartRecruiters Jobs & Salary Scraper",
"description": "Scrape SmartRecruiters company job boards by company. Extract job title, location, department, industry, employment type, experience level, apply URL, full description and salary text. Export JSON, CSV or Excel. No login or API key.",
"version": "0.1",
"x-build-id": "E2mcEJGN3uPc1dfb5"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~smartrecruiters-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-smartrecruiters-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~smartrecruiters-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-smartrecruiters-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~smartrecruiters-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-smartrecruiters-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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 job listings to collect across all companies. Optional."
},
"withDetails": {
"title": "Fetch full job details",
"type": "boolean",
"description": "When enabled, each job includes the full description, qualifications, company description, apply URL, recruiter and salary text. When disabled, only the lightweight listing fields (title, location, department, dates) are collected.",
"default": true
},
"companies": {
"title": "Companies",
"type": "array",
"description": "The companies whose job boards to scrape. Use the company identifier from its careers URL, for example a board at jobs.smartrecruiters.com/BoschGroup means the identifier is \"BoschGroup\". You can paste the identifier or the full careers URL. Identifiers are case-sensitive. Add one 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, function and description (case-insensitive). Leave empty to return every open job."
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Optional proxy. Not needed for normal runs. Enable it only if you scrape very large boards and start to see rate limiting."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```