Ready-made web datasets, built for AI
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"url": "amazon.de/dp/B08...",
"html_node": "\u003Cdiv id...",
"price_raw": "EUR 24.99\n(inc. VAT)",
// messy, nested, unvalidated dataExplore our dataset catalog
Starbucks US Store Locations
A free 500-store sample of all 16,763 Starbucks stores in the US, covering every state and DC, with hours, amenities and mobile ordering. The full list is available on request.
Starbucks EMEA Stores & Menu Prices
Free sample of Starbucks menu prices from 40 delivery-listed stores across Europe, the Middle East and Africa, including the UK, Türkiye, the UAE, Spain and Germany. The full dataset covers 1,915 stores in 31 countries and 242,504 priced menu items from Talabat, Trendyol Go, Uber Eats and Wolt, in local currency, and is available on request.
Starbucks North America Stores & Menu Prices
Free sample of Starbucks menu prices from 40 delivery-listed stores across the United States and Canada. The full dataset covers 7,934 stores in 2 countries and 1,882,091 priced menu items from Uber Eats, in local currency, and is available on request.
Starbucks Latin America Stores & Menu Prices
Free sample of Starbucks menu prices from 40 delivery-listed stores across Mexico, Chile, Colombia, Central America and the Caribbean. The full dataset covers 865 stores in 8 countries and 119,738 priced menu items from Rappi and Uber Eats, in local currency, and is available on request.
Starbucks APAC Stores & Menu Prices
Free sample of Starbucks menu prices from 40 delivery-listed stores across Asia-Pacific, including Taiwan, Malaysia, the Philippines, Japan and Australia. The full dataset covers 648 stores in 7 countries and 67,951 priced menu items from Uber Eats and foodpanda, in local currency, and is available on request.
Amazon Italy Products
Extensive product data from Amazon Italy including categories, prices, ratings, and variations.
Clean data, zero maintenance
Compliant by design
Every dataset is collected and delivered under a GDPR/CCPA-aware framework, with full audit trails and quality SLAs.
Always fresh
Choose one-time snapshots or scheduled refreshes — daily, weekly, or real-time — so your models never train on stale data.
Model-ready schema
Clean, deduplicated, and normalized into JSON, CSV, or Parquet, ready to ingest into training and RAG pipelines.
From unstructured web to model-ready datasets
Define your scope
Pick from 350+ catalog datasets or specify custom sources, fields, geographies, and refresh frequency.
We collect & structure
Our pipelines crawl at web scale, then clean, deduplicate, and validate every record against your schema.
Delivered your way
Receive data via API, S3, GCS, Azure, Snowflake, or direct download — with hash-verified completeness.
Questions
Datasets are available as JSON, CSV, or Parquet, and can be delivered via API, cloud storage (S3, GCS, Azure), data warehouse load, or direct download.
Yes. Beyond the 350+ ready-made datasets, we design bespoke collection and labeling pipelines around your specific sources, schema, geography, and quality requirements.
You choose. Datasets can be delivered as one-time historical snapshots or kept continuously refreshed on a daily, weekly, or real-time cadence.
All collection runs under a GDPR/CCPA-aware compliance framework with documented data lineage, and we provide quality SLAs on completeness and accuracy.
Absolutely. We provide a free representative sample for any dataset so your team can validate schema, coverage, and quality before committing.
Pricing is per record with volume discounts, or via fixed-fee subscriptions for continuously refreshed feeds. Talk to sales for a quote tailored to your volume.