MercadoLibre Official Stores Scraper
Pricing
from $1.00 / 1,000 results
MercadoLibre Official Stores Scraper
Scrape product catalogs from MercadoLibre official brand stores: prices, stock, and product details.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
Danilo Frias
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
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Scrapes the public official-stores directory ("tiendas oficiales") of MercadoLibre Mexico and returns one record per official store: brand name, store URL, logo URL, and directory category.
Who would use it: lead-list builders, brand/marketplace analysts, and anyone maintaining a directory of brands with an official storefront on MercadoLibre Mexico. Official store names are business names shown on public listings; no personal data is collected.
Inputs
| Field | Type | Default | Description |
|---|---|---|---|
start_urls | array of strings | ["https://www.mercadolibre.com.mx/tiendas-oficiales"] | Directory pages to start from. Accepts the directory landing page (category pages are discovered automatically) or individual category pages (tiendas-oficiales/show?category=MLM1000...). |
max_items | integer | 250 | Maximum number of unique store records to return. The actor visits category pages in order and stops as soon as this many unique stores have been collected. |
country | string | "mx" | Two-letter country code stamped on each record. |
Sample output record
{"store_name": "117 Mx","store_url": "https://www.mercadolibre.com.mx/tienda/117-mx","logo_url": "https://http2.mlstatic.com/D_NQ_NP_832107-MLA112151539782_062026-F.jpg","category": "Electrónica, Audio y Video","country": "mx"}
Fields: store_name (str), store_url (str), logo_url (str or null), category (str or null), country (str). A store that appears in several categories keeps the category where it was first seen; logo_url prefers the brand's high_resolution_logo asset.
Coverage and limits
- The directory is organized by product category (24 categories such as "Electrónica, Audio y Video", "Ropa, Bolsas y Calzado", "Computación"). Each category page (
tiendas-oficiales/show?category=MLM...) renders a fixed set of top brands (100 per page, server-side, with store data also embedded in the page's__NORDIC_RENDERING_CTX__JSON). - Pagination is by category, not by page. The category pages ignore
page=/letter=query parameters and expose only their first ~100 brands even when the page reports a largertotalBrandscount. So coverage is the top ~100 brands per category, up to ~2,400 raw listings deduped by store URL. - Deliberately avoided surfaces: MercadoLibre search-result pages and product-detail pages redirect unauthenticated visitors to account verification; this actor never requests them. If any directory page starts redirecting to a login/account-verification wall or serves a CAPTCHA, the actor logs the URL, status code, and redirect target and moves on.
Rate limiting
Plain HTTPS with a browser User-Agent, max 2 concurrent connections, and a fixed ~1 second delay between requests. No scraping proxy services, no CAPTCHA solving, no parallel hammering. On hosts that route outbound traffic through a standard egress proxy, the actor uses the machine's configured https_proxy/http_proxy URL explicitly (this host's no_proxy format breaks httpx's environment parsing, so the URL is passed directly rather than relying on trust_env).
Data rules
- Public pages only. The actor visits only the official-stores directory landing and category pages, all accessible without login. No login flows, no session cookies.
- No personal data. Only business/brand names, public store URLs, and logo image URLs are collected. No names, emails, or phone numbers of private individuals.
Run locally
cd mercadolibre-official-stores-scrapermkdir -p storage/key_value_stores/defaultcat > storage/key_value_stores/default/INPUT.json <<'EOF'{"start_urls": ["https://www.mercadolibre.com.mx/tiendas-oficiales"],"max_items": 250,"country": "mx"}EOFpython main.py
Output lands in storage/datasets/default/ (local Apify storage). The same files build the Apify Docker image (Dockerfile, requirements.txt) without changes.