# Get on Board – LATAM Tech Jobs Scraper (`jungle_synthesizer/getonbrd-latam-tech-jobs-scraper`) Actor
Scrape tech job listings from Get on Board, the leading developer job board for Latin America. Extract job titles, companies, salaries, tech-stack tags, seniority levels, and remote/hybrid status across Chile, Argentina, Brazil, Mexico, Colombia, Peru, and Uruguay.
- **URL**: https://apify.com/jungle\_synthesizer/getonbrd-latam-tech-jobs-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per event
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
## Get on Board – LATAM Tech Jobs Scraper
Scrape tech job listings from [Get on Board](https://www.getonbrd.com), the leading developer job board for Latin America. Extract job titles, companies, salaries, tech-stack tags, seniority levels, and remote/hybrid status across Chile, Argentina, Brazil, Mexico, Colombia, Peru, and Uruguay.
### What it does
Calls the Get on Board public REST API to collect all active job listings across selected tech categories. For each listing it returns:
- Job title, seniority level, and tech-stack tags
- Hiring company name, country, and logo URL
- Remote/hybrid/onsite status and job country
- Salary range in USD (when the employer discloses it)
- Number of applications received
- Direct application URL and source URL
### Input
| Field | Type | Description |
|-------|------|-------------|
| `categories` | array (required) | Job categories to scrape. See valid values below. |
| `maxItems` | integer | Maximum records to return across all categories. `0` = unlimited. |
#### Valid categories
| Slug | Description |
|------|-------------|
| `programming` | Software engineering roles |
| `machine-learning-ai` | ML / AI / LLM roles |
| `sysadmin-devops-qa` | DevOps, SRE, SysAdmin, QA |
| `data-science-analytics` | Data science and analytics |
| `mobile-developer` | iOS, Android, React Native |
| `design-ux` | Product design and UX |
| `cybersecurity` | Security engineering |
| `innovation-agile` | Product management, Agile |
| `digital-marketing` | Digital marketing |
| `other` | General tech-adjacent roles |
### Output
Each record in the dataset:
```json
{
"id": "senior-full-stack-engineer-merapar-remote-19a1",
"title": "Senior Full-Stack++ Engineer",
"company_name": "Merapar",
"company_id": "merapar",
"company_country": "CL",
"company_logo_url": "https://getonbrd-prod.s3.amazonaws.com/...",
"category": "programming",
"seniority": "senior",
"tags": "Python, Scrum, Docker, TypeScript, Distributed Systems, Cloud Computing",
"description_html": "",
"description_text": "Engineering degree in Computer Science...",
"requirements": "AWS or GCP certified...",
"benefits": "40 hour work week, 20 vacation days...",
"city": null,
"country": "Chile",
"remote": "hybrid",
"min_salary_usd": null,
"max_salary_usd": null,
"salary_currency": null,
"employment_type": null,
"posted_at": "2026-05-26",
"apply_url": "https://www.getonbrd.com/jobs/senior-full-stack-engineer-merapar-remote-19a1",
"apply_count": 73,
"source_url": "https://www.getonbrd.com/jobs/senior-full-stack-engineer-merapar-remote-19a1",
"scrapedAt": "2026-05-31T17:06:00.000Z"
}
````
**Notes on null fields:**
- `min_salary_usd` / `max_salary_usd` — null when the employer does not disclose salary
- `salary_currency` — not exposed in the API; null for all records
- `employment_type` — not exposed in the API; null for all records
- `city` — the API only exposes city IDs, not names; null for all records
### Performance
- Default run: scrapes the `programming` category (350+ pages x 100 jobs each)
- Multi-category runs scale linearly — each category is fetched independently
- `maxItems: 5` run completes in under 10 seconds
- Full dataset (all 7 default categories) returns approximately 3,000-5,000 active jobs
### Use cases
- **Talent intelligence** — track LATAM developer supply, skill demand, and compensation trends
- **Nearshore hiring** — build pipelines of pre-qualified LATAM candidates for US companies
- **Market research** — analyze which tech stacks dominate LATAM's hiring market
- **Job aggregators** — enrich LATAM job feeds with structured salary and seniority data
# Actor input Schema
## `sp_intended_usage` (type: `string`):
Please describe how you plan to use the data extracted by this crawler.
## `sp_improvement_suggestions` (type: `string`):
Provide any feedback or suggestions for improvements.
## `sp_contact` (type: `string`):
Provide your email address so we can get in touch with you.
## `categories` (type: `array`):
Job categories to scrape. Valid values: programming, sysadmin-and-devops, data-science, design, mobile, internships. Leave empty to scrape all categories.
## `maxItems` (type: `integer`):
Maximum number of job listings to return (across all categories). Set to 0 for unlimited.
## Actor input object example
```json
{
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"categories": [
"programming",
"sysadmin-and-devops",
"data-science",
"design",
"mobile"
],
"maxItems": 10
}
```
# 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 = {
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"categories": [
"programming",
"sysadmin-and-devops",
"data-science",
"design",
"mobile"
],
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/getonbrd-latam-tech-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 = {
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"categories": [
"programming",
"sysadmin-and-devops",
"data-science",
"design",
"mobile",
],
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/getonbrd-latam-tech-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 '{
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"categories": [
"programming",
"sysadmin-and-devops",
"data-science",
"design",
"mobile"
],
"maxItems": 10
}' |
apify call jungle_synthesizer/getonbrd-latam-tech-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jungle_synthesizer/getonbrd-latam-tech-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Get on Board – LATAM Tech Jobs Scraper",
"description": "Scrape tech job listings from Get on Board, the leading developer job board for Latin America. Extract job titles, companies, salaries, tech-stack tags, seniority levels, and remote/hybrid status across Chile, Argentina, Brazil, Mexico, Colombia, Peru, and Uruguay.",
"version": "0.1",
"x-build-id": "ajgOvn6qUJ8qRpJRS"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jungle_synthesizer~getonbrd-latam-tech-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jungle_synthesizer-getonbrd-latam-tech-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/jungle_synthesizer~getonbrd-latam-tech-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-jungle_synthesizer-getonbrd-latam-tech-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/jungle_synthesizer~getonbrd-latam-tech-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-jungle_synthesizer-getonbrd-latam-tech-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": [
"categories"
],
"properties": {
"sp_intended_usage": {
"title": "What is the intended usage of this data?",
"minLength": 1,
"type": "string",
"description": "Please describe how you plan to use the data extracted by this crawler."
},
"sp_improvement_suggestions": {
"title": "How can we improve this crawler for you?",
"minLength": 1,
"type": "string",
"description": "Provide any feedback or suggestions for improvements."
},
"sp_contact": {
"title": "Contact Email",
"minLength": 1,
"type": "string",
"description": "Provide your email address so we can get in touch with you."
},
"categories": {
"title": "Job Categories",
"type": "array",
"description": "Job categories to scrape. Valid values: programming, sysadmin-and-devops, data-science, design, mobile, internships. Leave empty to scrape all categories.",
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Max Items",
"type": "integer",
"description": "Maximum number of job listings to return (across all categories). Set to 0 for unlimited.",
"default": 0
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```