We extract product listings, pricing signals, seller intelligence, shipping costs, reviews, and search rankings from Mercado Libre. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from mercadolibre.com. All fields typed and schema-versioned.
"item_id": "MLA1234567890", "title": "Samsung Galaxy S24 Ultra 256GB", "brand": "Samsung", "condition": "new", "price": 1849999.00, "currency": "ARS", "discount_pct": 18, "sold_quantity": 4821, "shipping_free": true, "fulfillment_type": "MELI"
| # | item_id | title | brand | seller_id | category_id | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Installments objects from mercadolibre.com. All fields typed and schema-versioned.
"item_id": "MLA1234567890", "price": 1849999.00, "original_price": 2249999.00, "installments_quantity": 12, "installment_amount": 154166.58, "interest_free": true, "promotion_type": "deal_of_the_day", "price_timestamp": "2026-05-12T11:00:00Z"
| # | item_id | price | original_price | discount_pct | currency | accepts_mercadopago |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from mercadolibre.com. All fields typed and schema-versioned.
"review_id": "MELI-REV-09182736", "item_id": "MLA1234567890", "star_rating": 5, "verified_purchase": true, "review_title": "Excelente producto, llegó antes de lo esperado", "helpful_votes": 132, "country": "AR"
| # | review_id | item_id | reviewer_id | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seller Data objects from mercadolibre.com. All fields typed and schema-versioned.
"seller_id": "184829201", "seller_name": "tienda_oficial_samsung_ar", "reputation_level": "platinum", "positive_pct": 98.2, "power_seller_status": "gold", "active_listings_count": 2841, "sales_completed": 184200
| # | seller_id | seller_name | seller_url | reputation_level | reputation_transactions | positive_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mercado Libre scraper handles every layer of the platform: product listings, dynamic pricing, installment plans, seller reputation, fulfillment data, and reviews — across all LatAm marketplaces from a single unified schema.
Title, brand, condition, listing type, images, attributes, available and sold quantities — scraped at item level across all categories and marketplaces.
Capture price, original price, discount, MercadoPago installment plans, interest-free financing terms, and promotional badges — timestamped per crawl.
Reputation level (platinum/gold), positive feedback percentage, transaction count, power seller status, and full active listing portfolios.
Full review text, star ratings, helpful votes, verified purchase flags, seller responses, and country — paginated across all review pages.
Free shipping eligibility, shipping mode, Mercado Envíos fulfillment flag, and estimated delivery data — critical for competitive logistics benchmarking.
Track organic vs sponsored position for any keyword across any country marketplace — with Gold Special and promotion badge capture.
MercadoLibre.com.ar, .com.mx, .com.br, .com.co, .com.cl, .com.pe and 12 more country sites — unified schema with currency-normalised pricing.
New vs used condition, full/classic/free listing type classification, and deal-of-the-day status — for complete market structure analysis.
One-off bulk exports or continuous pipelines at hourly, daily, or custom cadences with change-detection diffing across your item set.
Brief in. Clean data out.
Provide item IDs, category URLs, keyword sets, or seller IDs. We design the extraction schema and country coverage together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and anti-bot handling for Mercado Libre.
Schema validation, price-outlier detection, currency normalisation checks, and sample review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Mercado Libre spans 18 countries with distinct currency systems, anti-bot layers, and page structures. Here's how we stay resilient across all of them.
Mercado Libre uses geo-aware bot detection — Argentine pages block non-Argentine IPs, Brazilian pages block non-Brazilian IPs. We maintain country-matched residential proxy pools for every supported marketplace, with realistic browser fingerprints and randomised request timing.
Pricing widgets, installment calculators, shipping estimators, and seller reputation panels are all JavaScript-rendered. We run full Playwright sessions to capture these — including interaction flows that trigger deferred data loads.
Page structure differs subtly between MLA (Argentina), MLB (Brazil), MLM (Mexico), and other sites. We maintain per-country selector configurations with fallback chains so country-specific DOM changes don't cascade into pipeline failures.
For large item catalogs, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, currency anomalies, schema drift, and coverage drops across all active country pipelines — and respond before you notice.
Brands and sellers monitor competitor pricing, installment plan structures, and promotional windows across LatAm marketplaces to reprice and protect margin.
Companies entering Latin American markets use Mercado Libre data to map category sizes, dominant sellers, pricing norms, and demand signals before committing.
Brands track third-party seller activity, listing quality, pricing compliance, and reputation metrics to manage their distributor network across countries.
Category managers use sold quantity signals, price elasticity data, and review velocity to benchmark SKU performance and inform assortment decisions.
Supply chain teams correlate sold quantity signals, listing creation rate, and price movement with sales velocity to improve regional procurement models.
PE firms and analysts track category GMV proxies, seller growth curves, and review-to-rating trends to evaluate LatAm marketplace investments.
"Mercado Libre is Latin America's largest marketplace — but its 18-country footprint and multi-currency structure makes it uniquely difficult to query without a dedicated pipeline."
Reliable Mercado Libre scraping requires country-matched residential proxies, dynamic JavaScript rendering for installment and shipping widgets, currency normalisation across 18 markets, and daily selector maintenance. DataFlirt absorbs that complexity so your team focuses on the intelligence — not the infrastructure.
Everything supported by our mercadolibre.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and dynamic panel interactions. Combined via scrapy-playwright middleware.
We maintain residential ISP proxy pools for every LatAm country marketplace. Country-matching is critical for Mercado Libre — geo-mismatch triggers immediate bot detection.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About mercadolibre.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Mercado Libre is generally permissible under applicable law in India, the US, and the relevant LatAm jurisdictions — reinforced by public data access precedents. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal user data or circumvent authentication walls. We recommend clients review Mercado Libre's ToS and consult legal counsel for specific use cases.
We support MercadoLibre.com.ar (Argentina), .com.br (Brazil), .com.mx (Mexico), .com.co (Colombia), .com.cl (Chile), .com.pe (Peru), .com.uy (Uruguay), .com.bo (Bolivia), .com.ec (Ecuador), .com.py (Paraguay), and .com.ve (Venezuela) — all from a unified schema with local currency retained.
The key challenge is geo-awareness: Mercado Libre's bot detection correlates IP geography with the country site being accessed. We use country-matched residential proxies, full Playwright sessions with realistic fingerprints, and request timing modelled on real user behaviour.
Yes — including installment quantity, per-instalment amount, interest rate, and interest-free flags. This data requires JavaScript rendering to capture from the dynamic installment widget.
Real-time pipelines achieve sub-60-minute latency for price and availability updates on a defined item set. Full catalog refreshes at daily cadence complete within a 6–10 hour window depending on scope and country coverage.
Yes. We provide a sample run of up to 500 items per country site as part of the pre-engagement scoping process — so you can validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off LatAm catalog snapshot or a continuous cross-country price-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
