We extract product listings, pricing signals, seller reputation, and Mercado Envios data. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
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 Mercado Libre. All fields typed and schema-versioned.
"id": "MLA139284719", "title": "Samsung Galaxy S23 Ultra", "price": 1250000.0, "currency_id": "ARS", "available_quantity": 45, "sold_quantity": 150, "condition": "new", "accepts_mercadopago": true
| # | id | title | category_id | price | original_price | currency_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Installments objects from Mercado Libre. All fields typed and schema-versioned.
"item_id": "MLA139284719", "price": 1250000.0, "original_price": 1400000.0, "discount_pct": 10, "installments_quantity": 6, "installments_amount": 208333.33, "installments_rate": 0, "promotion_type": "DEAL_OF_THE_DAY"
| # | item_id | price | base_price | original_price | currency_id | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Seller Data objects from Mercado Libre. All fields typed and schema-versioned.
"seller_id": "84719204", "nickname": "ELECTRO_LATAM", "power_seller_status": "platinum", "transactions_total": 15420, "transactions_completed": 14980, "ratings_positive": 0.98, "ratings_negative": 0.01, "handling_time_status": "green"
| # | seller_id | nickname | registration_date | country_id | city | power_seller_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Shipping & Fulfillment objects from Mercado Libre. All fields typed and schema-versioned.
"item_id": "MLA139284719", "mode": "me2", "free_shipping": true, "logistic_type": "fulfillment", "local_pick_up": false, "handling_time": 0, "tags": "['fulfillment', 'mandatory_free_shipping']"
| # | item_id | mode | local_pick_up | free_shipping | logistic_type | store_pick_up |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Q&A objects from Mercado Libre. All fields typed and schema-versioned.
"question_id": "12948192", "item_id": "MLA139284719", "text": "Tienen stock en color negro?", "answer_text": "Hola, si tenemos stock. Esperamos tu compra.", "answer_date": "2026-04-12T10:30:00Z", "status": "ANSWERED", "rating": 5, "review_content": "Excelente equipo."
| # | question_id | item_id | seller_id | text | answer_text | answer_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Mercado Libre scraper extracts data across 18 regional domains. We handle the geographic proxy routing, JavaScript rendering, and schema normalisation required to monitor LatAm commerce.
Extract data across MLA (Argentina), MLB (Brazil), MLM (Mexico), MLC (Chile), MCO (Colombia), and 13 other regional sites.
Monitor seller tier changes, transaction volumes, positive feedback ratios, and handling time metrics.
Capture fulfillment types, free shipping thresholds, and Full logistics tags to map supply chain velocity.
Extract complex payment terms, interest-free installment counts, and Mercado Pago financing options.
Identify brand-owned official stores versus third-party resellers to monitor channel compliance.
Track organic position and sponsored ad placements for any keyword across specific LatAm geographies.
Scrape pre-sale questions and seller responses to analyse consumer intent and seller responsiveness.
Map parent-child relationships for apparel and electronics, including colour, size, and stock depth per variant.
Maintain hash indexes to output only net-new listings or pricing changes, reducing downstream compute.
Brief in. Clean data out.
Provide category URLs, seller IDs, or keyword lists across target LatAm countries. We map the extraction schema.
We configure Scrapy crawlers, LatAm residential proxies, and anti-bot circumvention for mercadolibre.com.
Schema validation, price-outlier detection, and null-rate checks run before pipeline handover.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on schedule.
Extracting normalised data across 18 fragmented country domains requires serious infrastructure. Here is how we manage it.
Mercado Libre alters content and blocks requests originating outside the target country. We route traffic through ISP-grade residential proxies in Brazil, Mexico, Argentina, and Chile.
Many pricing components and shipping calculators require JavaScript execution. We run headless Playwright sessions to render dynamic elements before extraction.
Aggressive rate limits drop connections during high-volume sweeps. We distribute requests across thousands of IPs with randomised delays to maintain high throughput.
MLB (Brazil) and MLA (Argentina) have subtle DOM differences. Our selectors use fallback chains to normalise fields across all 18 regional marketplaces into a single schema.
Tracking price changes across millions of listings requires efficiency. We hash previous runs and only emit records where price, stock, or seller metrics have changed.
Brands analyse category saturation and pricing dynamics in Mexico and Brazil before launching regional operations.
Retailers track competitor pricing, discount depths, and installment offers to adjust their own promotional strategies.
Manufacturers monitor unauthorised third-party sellers undercutting MAP policies across LatAm marketplaces.
Logistics analysts track the adoption of Mercado Envios Full to benchmark delivery times against competitor listings.
B2B service providers extract high-volume Power Sellers to target them for financing or logistics services.
Product teams aggregate reviews and pre-sale Q&A to identify common defects or missing features in competitor products.
"Mercado Libre is the definitive proxy for LatAm commerce, but extracting normalised data across 18 fragmented country domains requires serious infrastructure."
Most teams fail at LatAm data extraction due to aggressive geo-blocking and country-specific DOM variations. DataFlirt handles the regional proxy routing, JavaScript rendering, and schema normalisation so your data engineering team receives clean, queryable records.
Everything supported by our Mercado Libre 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 and deduplication. Playwright renders dynamic React components and shipping calculators.
We maintain pools of residential ISP proxies across Brazil, Mexico, Argentina, and Chile to bypass regional blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About Mercado Libre scraping, legality, and pipeline operations.
Ask us directly →We cover all 18 regional sites including MLB (Brazil), MLM (Mexico), MLA (Argentina), MLC (Chile), and MCO (Colombia). Data is normalised into a single unified schema.
Yes. We capture base price, discount percentage, installment quantity, installment amount, and whether the installments are interest-free via Mercado Pago.
Yes. We extract seller tier (e.g., MercadoLíder Platinum), total transactions, positive feedback ratio, and handling time metrics on every run.
We route requests through country-specific residential ISP proxies. A request for a Mexican listing originates from a Mexican IP, preventing access blocks and currency distortion.
Yes. We capture shipping modes, free shipping thresholds, local pickup options, and Mercado Envios Full tags.
We configure pipelines to run at your required cadence. High-priority ASINs or catalog IDs can be tracked hourly, while full category sweeps typically run daily or weekly.
Pipelines begin accumulating history from the first run. We maintain time-series records for price, stock availability, and seller metrics.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a category sweep in Brazil or continuous price tracking across LatAm — we build and operate the pipeline. Tell us your requirements.
