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Scrape Mercado Libre Venezuela

Venezuela prices in US dollars on listing pages and shows both US$ and Bs. on product pages. Measured: 436 results for iphone, 48 listings per page, shipping text on 88% of rows and seller name on 60%. Instalments do not exist in this market and the Actor does not pretend otherwise — the field comes back empty because the site has nothing there.

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Mercado Libre Scraper & API — 17 Countries
Mercado Libre Scraper & API — 17 Countriesoswaldocarabano/mercadolibre-data-actor
Item id
Title
Price
Currency
+18 fields
Text
Number
Boolean
List
Object

Input

Max items:100
Scrape product detail pages:false
Paginate beyond the first page:true
Slice queries by category:true
Max concurrency:2
Country marketplace(required):MLV
Search queries:iphone

Output fields

Item id
Title
Price
Currency
Currency symbol
Price original
Url
Thumbnail
Seller name
Condition
Shipping text
Installments text
Is catalog
Link kind
Position
Query
Site id
Scraped at
From cache
Data age hours
Source url
Detail scraped

How it works

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The Mercado Libre Scraper & API — 17 Countries Actor is ready to run with the inputs already set for "Scrape Mercado Libre Venezuela". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Mercado Libre Venezuela" task

The Mercado Libre Scraper & API — 17 Countries Actor will start running based on the input automatically. You can also change all the input fields, like max items, scrape product detail pages, and more, to match your specific use case.

Receive the "Scrape Mercado Libre Venezuela" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as item id, title, price, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape Mercado Libre Venezuela" task via API.

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Connect "Scrape Mercado Libre Venezuela" with 100+ integrations, or run it via API or MCP.

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