Mercado Libre Scraper avatar

Mercado Libre Scraper

Under maintenance
Try for free

7 days trial then $35.00/month - No credit card required now

View all Actors
This Actor is under maintenance.

This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?

See alternative Actors
Mercado Libre Scraper

Mercado Libre Scraper

trudax/mercadolibre-scraper
Try for free

7 days trial then $35.00/month - No credit card required now

MercadoLibre Scraper enables you to extract data about products, sellers, and listings present on this marketplace.

You can access the Mercado Libre Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "search": "smartphone",
10    "domainCode": "MX",
11    "maxItemCount": 5,
12    "proxy": { "useApifyProxy": True },
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("trudax/mercadolibre-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Mercado Libre Scraper API in Python

The Apify API client for Python is the official library that allows you to use Mercado Libre Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 5 monthly users
  • 3 stars
  • 100.0% runs succeeded
  • 3.4 hours response time
  • Created in Sep 2023
  • Modified 16 days ago