# GetOnBrd Scraper (`scrapers_lat/getonbrd-scraper`) Actor
Extract LATAM tech jobs and salary data from GetOnBrd. Scrape job title, company, category, seniority, modality, remote status, country, USD salary range, perks, skills and full description across 18 tech job categories.
- **URL**: https://apify.com/scrapers\_lat/getonbrd-scraper.md
- **Developed by:** [Michael Flores](https://apify.com/scrapers_lat) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $8.00 / 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
## GetOnBrd Scraper
> Extract LATAM tech jobs and salary data from GetOnBrd across 18 job categories, with USD salary ranges on roughly half of all listings
23 fields per record
18 categories coverage
JSON / CSV / Excel output formats
Updated 2026-06-20
### What you get
Each record is one tech job from GetOnBrd with its salary range, seniority, modality and location, ready for salary benchmarking, sourcing or market analysis. Output fields:
- **imageUrl\***: company logo image URL
- **title**: job title
- **url**: link to the public job posting
- **id**: GetOnBrd job identifier (the URL slug)
- **company\***: company name
- **companyId**: numeric company identifier
- **category**: job category (e.g. Programming, Design / UX, Data Science / Analytics)
- **seniority**: experience level (No experience, Junior, Semi Senior, Senior, Expert)
- **employmentType**: Full time, Part time, Freelance or Internship
- **remote**: whether the role is remote
- **remoteModality**: remote arrangement (fully remote, remote local or hybrid)
- **countries**: countries the role is open to, or Remote
- **minSalary**: lower bound of the monthly salary range in USD
- **maxSalary**: upper bound of the monthly salary range in USD
- **salaryCurrency**: salary currency (USD when a range is published)
- **perks**: company perks attached to the listing
- **lang**: required language when specified
- **applicationsCount**: number of applications received
- **publishedAt**: when the job was published
- **description**: full job description text
- **companyWebsite\***: company website URL
- **companyCountry\***: company home country
- **companyDescription\***: short company profile text
- **observedAt**: when this listing was last seen by the scraper
*\*These fields only appear when Fetch Company Details is set to true.*
### Who is it for
| Use case | Who benefits |
|---|---|
| Benchmark LATAM tech salaries by role and seniority | Compensation and HR analysts |
| Source remote engineering and design candidates | Technical recruiters and sourcers |
| Track hiring demand by category and country | Market researchers and analysts |
| Feed live job data into a job board or aggregator | Product and data teams |
| Monitor competitor hiring and open roles | Talent acquisition leads |
### Frequently Asked Questions
**Which countries and categories does GetOnBrd cover?**
GetOnBrd focuses on tech and digital jobs across Latin America, with many fully remote roles open worldwide. You can scrape any of its 18 categories, including Programming, Mobile Developer, SysAdmin / DevOps / QA, Data Science / Analytics, Machine Learning & AI, Cybersecurity and Design / UX.
**How many jobs can I collect in one run?**
You set the limit with Max Items. The scraper paginates through the full result set for your search or category, so you can pull anywhere from a handful of jobs to thousands across many pages.
**Can I filter by remote roles or a specific country?**
Yes. Turn on Remote Only to keep just remote positions, and set Country to keep only jobs whose location includes that country, for example Chile, Mexico or Argentina. You can also search by a free-text term or pick a single category.
**Do the records include salary information?**
Yes, when the employer publishes it. Roughly half of GetOnBrd listings include a monthly salary range, returned as minSalary and maxSalary in USD. Jobs without a published range simply leave those fields empty.
**What does Fetch Company Details add?**
When enabled, the scraper loads each company profile to add the company name, logo, website, home country and a short company description. Without it you still get the numeric companyId and all job-level fields, but the company name and logo are left empty.
---
> This actor is an independent tool and has no affiliation with GetOnBrd. It only accesses data that is publicly available on the platform. Use it in accordance with GetOnBrd's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of jobs to collect. Optional.
## `withDetails` (type: `boolean`):
When enabled, fetch each job's company profile to add the company name, logo, website, country and description. Adds one request per unique company.
## `searchTerm` (type: `string`):
Free-text query to search jobs by title, skill or keyword (e.g. "python", "react", "designer"). Leave empty to match all jobs. Ignored when a Category is selected.
## `category` (type: `string`):
Restrict results to one GetOnBrd category. When set, the Search Term is ignored and all jobs in the category are returned.
## `remoteOnly` (type: `boolean`):
Only return jobs that are fully or partially remote.
## `country` (type: `string`):
Only return jobs whose location includes this country (case-insensitive match on the job's countries field, e.g. "Chile", "Mexico", "Argentina"). Leave empty for all countries.
## `proxyConfiguration` (type: `object`):
Proxy settings. GetOnBrd has no anti-bot protection, so a proxy is optional; datacenter IPs work fine.
## Actor input object example
```json
{
"maxItems": 10,
"withDetails": true,
"searchTerm": "developer",
"remoteOnly": false,
"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,
"searchTerm": "developer"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/getonbrd-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,
"searchTerm": "developer",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/getonbrd-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,
"searchTerm": "developer"
}' |
apify call scrapers_lat/getonbrd-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/getonbrd-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "GetOnBrd Scraper",
"description": "Extract LATAM tech jobs and salary data from GetOnBrd. Scrape job title, company, category, seniority, modality, remote status, country, USD salary range, perks, skills and full description across 18 tech job categories.",
"version": "0.1",
"x-build-id": "Imdhi8IOR49Xu77DO"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~getonbrd-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-getonbrd-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~getonbrd-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-getonbrd-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~getonbrd-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-getonbrd-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of jobs to collect. Optional."
},
"withDetails": {
"title": "Fetch Company Details",
"type": "boolean",
"description": "When enabled, fetch each job's company profile to add the company name, logo, website, country and description. Adds one request per unique company.",
"default": true
},
"searchTerm": {
"title": "Search Term",
"type": "string",
"description": "Free-text query to search jobs by title, skill or keyword (e.g. \"python\", \"react\", \"designer\"). Leave empty to match all jobs. Ignored when a Category is selected."
},
"category": {
"title": "Category",
"enum": [
"",
"programming",
"mobile-developer",
"sysadmin-devops-qa",
"data-science-analytics",
"machine-learning-ai",
"cybersecurity",
"design-ux",
"digital-marketing",
"advertising-media",
"sales",
"customer-support",
"technical-support",
"operations-management",
"innovation-agile",
"education-coaching",
"hr",
"hardware-electronics",
"other"
],
"type": "string",
"description": "Restrict results to one GetOnBrd category. When set, the Search Term is ignored and all jobs in the category are returned."
},
"remoteOnly": {
"title": "Remote Only",
"type": "boolean",
"description": "Only return jobs that are fully or partially remote.",
"default": false
},
"country": {
"title": "Country",
"type": "string",
"description": "Only return jobs whose location includes this country (case-insensitive match on the job's countries field, e.g. \"Chile\", \"Mexico\", \"Argentina\"). Leave empty for all countries."
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings. GetOnBrd has no anti-bot protection, so a proxy is optional; datacenter IPs work fine.",
"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
}
}
}
}
}
}
}
}
}
}
```