# Colombia Car Reference Prices Scraper (Make, Model & Year) (`scrapers_lat/motor-colombia-scraper`) Actor
Scrape Colombia auto reference prices from the Revista Motor price guide: make, model, year, price in COP, body type, transmission and fuel for new, used imported and used national cars. Filter by make, model or year. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/motor-colombia-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $6.80 / 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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
## Colombia Car Reference Prices Scraper (Make, Model & Year)
> Get Colombia's benchmark car prices in clean structured data: make, model, model year and reference price in Colombian pesos (COP) for new cars, used imported cars and used national cars, plus body type, transmission and fuel. Filter by brand, model or year and export ready-to-use rows for valuation, pricing and market research.
**📥 [Input](https://apify.com/scrapers_lat/motor-colombia-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/motor-colombia-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/motor-colombia-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/motor-colombia-scraper/examples)**
Reference prices in COP new, used imported & national
Make, model & year with body type, transmission & fuel
JSON / CSV / Excel output formats
### What you get
Each record is one make, model and model year with:
- **make** and **makeSlug** (brand)
- **model** / version name
- **year** (model year; empty for current new-car prices)
- **priceAmount** and **currency** (COP)
- **condition** (new, used imported or used national guide)
- **bodyType** (automobile, SUV, pickup, camper and more)
- **transmission** and **fuelType**
- **priceGuide** (guide edition / period), **listingUrl**, **country**, **observedAt**
This is a distinct Colombian pricing benchmark that complements marketplace listings: use it as the reference value for any make/model/year and compare it against live ads.
### Who is it for
| Use case | Who benefits |
|---|---|
| Vehicle valuation | Dealers, insurers and banks pricing trade-ins and collateral |
| Marketplace pricing | Sellers and portals benchmarking asking prices against a reference |
| Market research | Analysts tracking brand and segment price levels in Colombia |
| Fintech and lending | Teams building auto-loan and insurance quoting models |
### How to use it
1. Optionally add one or more **makes / brands** (for example Toyota, Mazda, Renault) and a **model / keyword** filter.
2. Choose which **price guides** to include: new, used imported, used national. Leave empty for all three.
3. Optionally set a **year from / year to** range, set **Max Cars To Scrape** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**What currency are the prices in?**
All prices are in Colombian pesos (COP), given as a whole-number amount in the priceAmount field.
**What is the difference between the three guides?**
New shows current reference prices for new cars. Used imported and used national show reference values by model year for used cars, so you get a price for each year a model is quoted.
**Do you charge for empty runs?**
No. You are only billed for real price records returned. A run that matches nothing is not charged.
**Can I get only one brand or one model?**
Yes. Use the makes filter for brands and the model / keyword search to keep only matching models, and combine them with a year range.
**How fresh is the data?**
Prices are read from the published reference guide at run time, so each record reflects the guide current at the moment of the run (see observedAt).
### 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
- [Seminuevos Mexico Used Car Listings Scraper](https://apify.com/scrapers_lat/seminuevos-scraper)
- [Copart Salvage Car Auction Lots Scraper](https://apify.com/scrapers_lat/copart-scraper)
- [NHTSA VIN Decoder & Vehicle Specs Scraper](https://apify.com/scrapers_lat/nhtsa-vin-decoder-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
***
> This actor is an independent tool and has no affiliation with Motor.com.co, Revista Motor or El Tiempo. It only accesses publicly available reference-price data. Use the results in accordance with the source's terms.
# Actor input Schema
## `makes` (type: `array`):
Optional. Keep only cars of these brands (for example Toyota, Mazda, Renault, Chevrolet). One run can cover several brands. Leave empty for all brands.
## `searchQueries` (type: `array`):
Optional. Keep only cars whose make or model contains any of these terms (for example Corolla, Hilux, RAV4). Leave empty to skip keyword filtering.
## `conditions` (type: `array`):
Which reference-price guides to include: new cars, used imported cars, used national cars. Leave empty for all three.
## `yearFrom` (type: `integer`):
Optional. Only keep used-car prices for model years at or after this year.
## `yearTo` (type: `integer`):
Optional. Only keep used-car prices for model years at or before this year.
## `maxCars` (type: `integer`):
Maximum number of price records to collect across the selected guides.
## Actor input object example
```json
{
"makes": [
"Toyota"
],
"maxCars": 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 = {
"makes": [
"Toyota"
],
"maxCars": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/motor-colombia-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 = {
"makes": ["Toyota"],
"maxCars": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/motor-colombia-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 '{
"makes": [
"Toyota"
],
"maxCars": 10
}' |
apify call scrapers_lat/motor-colombia-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/motor-colombia-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/J2fHIF3HmJr4odqFM/builds/EiyIfOovedk8y5hci/openapi.json