# GitLab Jobs Scraper (`moving_beacon-owner1/gitlab-jobs-scraper`) Actor
An Actor scrapes public job postings from GitLabโs Greenhouse board and lets you filter results by department, location, or title. It returns structured job data such as title, location, department, job URL, and optional full description and salary info, with a limit on total jobs per run.
- **URL**: https://apify.com/moving\_beacon-owner1/gitlab-jobs-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 50.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.00 / 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.
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
## GitLab Jobs Scraper
An Apify actor that scrapes **GitLab** job postings from its public
[Greenhouse](https://www.greenhouse.io/) job board.
### Input
All fields are optional.
| Field | Type | Description |
| --- | --- | --- |
| `departments` | array of strings | Keep only jobs whose department matches one of these (case-insensitive substring). E.g. `["Engineering", "Sales"]`. |
| `locationFilter` | string | Keep only jobs whose location contains this text. E.g. `"Remote"`, `"EMEA"`. |
| `titleQuery` | string | Keep only jobs whose title contains this text. E.g. `"Engineer"`. |
| `maxJobs` | integer | Stop after pushing this many (filtered) jobs. |
| `includeContent` | boolean | Fetch full HTML + plain-text description (default `true`). |
| `impersonate` | string | curl_cffi TLS fingerprint (`chrome`, `chrome124`, `safari17_0`, โฆ). Default `chrome`. |
| `proxyConfiguration` | object | Optional; Greenhouse is open, useful only for IP rotation. |
#### Example input
```json
{
"departments": ["Engineering"],
"locationFilter": "Remote",
"titleQuery": "backend",
"maxJobs": 50,
"includeContent": true
}
````
### Output
One dataset item per job:
```json
{
"id": 1234567,
"title": "Backend Engineer, Verify",
"company": "GitLab",
"location": "Remote, EMEA",
"departments": ["Engineering"],
"offices": ["Remote - EMEA"],
"isRemote": true,
"isHybrid": false,
"updatedAt": "2026-05-01T12:00:00-04:00",
"url": "https://boards.greenhouse.io/gitlab/jobs/1234567",
"descriptionHtml": "...
",
"descriptionText": "...",
"salary": { "min": 110000, "max": 140000, "currency": "USD", "raw": "$110,000 - $140,000" }
}
```
`salary` is best-effort (regex over the description) and is `null` when no
simple range is present. `descriptionHtml` / `descriptionText` / `salary` are
only included when `includeContent` is enabled.
# Actor input Schema
## `departments` (type: `array`):
Only keep jobs whose department name matches one of these (case-insensitive substring match). Leave empty for all departments. E.g. "Engineering", "Sales".
## `locationFilter` (type: `string`):
Only keep jobs whose location contains this text (case-insensitive). E.g. "Remote", "EMEA", "United States".
## `titleQuery` (type: `string`):
Only keep jobs whose title contains this text (case-insensitive). E.g. "Engineer", "Manager".
## `maxJobs` (type: `integer`):
Stop after pushing this many jobs (after filtering). Leave empty for no limit.
## `includeContent` (type: `boolean`):
Fetch each posting's full HTML description and a plain-text version. Disable for a faster, lighter run.
## `impersonate` (type: `string`):
TLS/JA3 fingerprint to impersonate. Greenhouse doesn't require it, but it's available for consistency. E.g. chrome, chrome124, safari17\_0.
## `proxyConfiguration` (type: `object`):
Greenhouse's API is open, so a proxy is optional. Provided for IP rotation on large/scheduled runs.
## Actor input object example
```json
{
"departments": [
"Engineering"
],
"locationFilter": "Remote",
"titleQuery": "Engineer",
"maxJobs": 25,
"includeContent": true,
"impersonate": "chrome",
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# 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 = {
"departments": [
"Engineering"
],
"locationFilter": "Remote",
"titleQuery": "Engineer",
"maxJobs": 25,
"includeContent": true,
"impersonate": "chrome",
"proxyConfiguration": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/gitlab-jobs-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 = {
"departments": ["Engineering"],
"locationFilter": "Remote",
"titleQuery": "Engineer",
"maxJobs": 25,
"includeContent": True,
"impersonate": "chrome",
"proxyConfiguration": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/gitlab-jobs-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 '{
"departments": [
"Engineering"
],
"locationFilter": "Remote",
"titleQuery": "Engineer",
"maxJobs": 25,
"includeContent": true,
"impersonate": "chrome",
"proxyConfiguration": {
"useApifyProxy": true
}
}' |
apify call moving_beacon-owner1/gitlab-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=moving_beacon-owner1/gitlab-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "GitLab Jobs Scraper",
"description": "An Actor scrapes public job postings from GitLabโs Greenhouse board and lets you filter results by department, location, or title. It returns structured job data such as title, location, department, job URL, and optional full description and salary info, with a limit on total jobs per run.",
"version": "0.0",
"x-build-id": "28Y6YadhwSZ2IvnZS"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/moving_beacon-owner1~gitlab-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-moving_beacon-owner1-gitlab-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/moving_beacon-owner1~gitlab-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-moving_beacon-owner1-gitlab-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/moving_beacon-owner1~gitlab-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-moving_beacon-owner1-gitlab-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"departments": {
"title": "Departments",
"type": "array",
"description": "Only keep jobs whose department name matches one of these (case-insensitive substring match). Leave empty for all departments. E.g. \"Engineering\", \"Sales\".",
"items": {
"type": "string"
}
},
"locationFilter": {
"title": "Location contains",
"type": "string",
"description": "Only keep jobs whose location contains this text (case-insensitive). E.g. \"Remote\", \"EMEA\", \"United States\"."
},
"titleQuery": {
"title": "Title contains",
"type": "string",
"description": "Only keep jobs whose title contains this text (case-insensitive). E.g. \"Engineer\", \"Manager\"."
},
"maxJobs": {
"title": "Max jobs",
"minimum": 1,
"type": "integer",
"description": "Stop after pushing this many jobs (after filtering). Leave empty for no limit."
},
"includeContent": {
"title": "Include full description",
"type": "boolean",
"description": "Fetch each posting's full HTML description and a plain-text version. Disable for a faster, lighter run.",
"default": true
},
"impersonate": {
"title": "Browser fingerprint (curl_cffi)",
"enum": [
"chrome",
"chrome124",
"chrome131",
"safari17_0",
"edge101"
],
"type": "string",
"description": "TLS/JA3 fingerprint to impersonate. Greenhouse doesn't require it, but it's available for consistency. E.g. chrome, chrome124, safari17_0.",
"default": "chrome"
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Greenhouse's API is open, so a proxy is optional. Provided for IP rotation on large/scheduled runs.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```