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A growing library of datasets — and the tools to build your own

Browse hundreds of ready-to-use datasets covering e-commerce, real estate, jobs and more. Or spin up your own with a few clicks — DataExtractor handles the extraction, you get structured data on the other side.

Ready datasets
200+growing
Rows extracted
4.2M
Custom built
12.4K
Avg delivery
< 30ms
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Pick from our ready-made dataset library

Every week we add new pre-built extractors that deliver structured data the moment you run them — no configuration, no selectors to maintain, no broken sites to fix. Just pick a template, run it, get a dataset.

Amazon Electronics

Prices, ratings, stock, images.

e-commerce

Booking Hotels

Rates, reviews, availability.

travel

Real Estate Listings

Prices, location, photos.

property
Here's what one looks like inside
amazon-electronics / #47
127 rows5 colsauto-sync
NamePriceProduct IDRatingDisc.
Sony WH-1000XM5329.99B09XS7TGJB4.718
Apple AirPods Pro 2189.00B0BDHWDR124.824
Bose QuietComfort 45279.00B098FKXT8L4.57
Samsung Galaxy Buds 3149.99B0CYB8QVJX4.325
JBL Tune 770NC129.95B0C5KRTQ2P4.413
Anker Soundcore Q4579.99B0BYP5JM8N4.620
Sennheiser Momentum 4349.95B0B5W4Z7N74.512
Beats Studio Pro249.99B0C2FNLY8P4.429
Sony LinkBuds S99.99B0B1H7QZK34.444
Marshall Major V149.00B0CK2QYPLM4.610
Export as:CSVJSON
Or add your own, in minutes
Add Dataset
Upload a file, connect a database, MCP server, repository, or cloud storage to create a new dataset.
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Repository
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What you can do with every dataset

Every dataset comes with the same powerful set of tools built in.

Structured tables

Sortable, searchable, typed.

Export anywhere

CSV, JSON.

Compare runs

Spot changes over time.

REST API access

Pipe into any system.

Browse the library, run a dataset, get clean data.

No setup. No cleanup. Just data, ready to use.