Our Jumbo Chile scraper collects product information, pricing, and promotions from one of the most established supermarket chains in Chile and Latin America. Whether you’re analyzing food prices, household assortments, or e-commerce market trends — we deliver structured data ready for export to Excel, CSV, or JSON.
When you choose to scrape Jumbo Chile, you’ll capture Jumbo’s online store’s rapid updates — prices change, inventory moves, promotions rotate. Our extractor is designed to pull exactly what you need from that flow: product details, shelf prices, discount labels, and category movements. We deliver structured, ready-to-use datasets without requiring you to write code or manage scraping logic. You tell us what matters — we take care of the rest.
Our extractor captures all key product and market data from jumbo.cl:
This data supports price tracking, catalog updates, and local retail analysis across food, personal care, home, and electronics.
In addition to standard product data, we extract deeper layers that reveal how Jumbo Chile operates:
This added context is key for understanding shopper segmentation, promotion strategy, and market structure in Chilean retail.
Jumbo is one of Chile’s largest supermarket chains, part of the Cencosud group, with both physical hypermarkets and a fast-growing e-commerce arm at jumbo.cl. It serves only the Chilean market, with pricing in CLP (Chilean peso) and region-specific delivery and pickup services.
Key highlights:
Jumbo.cl stands out for its local reach, loyalty mechanics, and tech-driven retail — making it a strong target for data extraction and market tracking.
Get a Quote
Developers
Customers
Pages extracted
Hours saved for our clients
Customized plans that grow with your data needs.
€199 / one-time
setup fee — included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Jumbo’s dynamic catalog, local promotions, and private-label strategy make it a valuable source for retail intelligence in Latin America. Scraping helps you:
Powered by our Jumbo Chile web scraper, you gain instant access to product details, pricing updates, promotions and stock levels from jumbo.cl — giving suppliers, e-commerce analysts, or price engines the granular visibility they need into how retail operates in the Chilean market.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Meet our Jumbo Chile data scraper: a ScrapeIt solution providing custom extraction services for marketplaces and retailers such as Jumbo Chile. We ensure data relevance, clear structure, and ultimate simplicity — forget about toolkits and subscriptions.
Jumbo Chile scraper gives you full control: just specify the product data, prices, or promotions you need — we’ll handle the rest, from extraction to delivery.
Yes — we extract geo-specific pricing and stock availability tied to delivery zones and pickup options.
Absolutely. We include discount tags, Prime offers, bundle deals, and loyalty-based pricing where available.
You’ll receive ready-to-use product data in the structure you prefer — no cleanup or conversion needed.
No. We handle the entire extraction process and deliver the final dataset — no setup required on your side.
You choose the frequency — daily, weekly, or custom intervals depending on your use case and tracking needs.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
