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Product Data Scrape vs Diffbot
Diffbot uses AI to auto-extract structured data from any URL — broad, general, smart. We deeply specialise in e-commerce: retailer-specific schemas, edge cases, native multilingual. Different strengths for different needs.
Product Data Scrape vs Diffbot
| Category | Product Data Scrape | Diffbot |
|---|---|---|
| Specialisation | E-commerce, retail, marketplaces only | General-purpose (articles, products, events) |
| Accuracy on retailers | 99%+ on supported retailers | 85-95% via AI auto-extraction |
| Retailer schema knowledge | Deep — Amazon ASIN, Flipkart FSN, etc. | Generic Product schema |
| Edge case handling | Manual + automated QA per retailer | AI-based (can miss nuances) |
| Geo / Multilingual | Native Arabic, Hindi, Portuguese, etc. | Generic translation |
| Pricing | Per-SKU per-refresh | Per-API-call (Knowledge Graph) |
| Best for | E-commerce brands, retailers, category teams | General data extraction at scale |
| Integration | CSV/Excel/JSON delivery — no code | REST API integration |
| Free sample | 30 SKUs in 24 hrs | Free trial credits |
| Custom retailer support | Yes — add any retailer on request | Generic AI applies to any URL |
Product Data Scrape is the right fit if…
✓ You need e-commerce data with retailer-specific accuracy
✓ You need ASIN, FSN, GTIN, EAN matching with precision
✓ You need native non-English data (Arabic, Hindi, etc.)
✓ You want a single source for 50+ retailers
✓ You need QA-reviewed data, not AI-generated approximations
✓ Your team is non-technical (no API integration)
Diffbot is the right fit if…
You need general data extraction beyond e-commerce
You need a Knowledge Graph across many entity types
You're a developer comfortable with their REST API
You need extraction from random one-off URLs
FAQs
AI extraction is 85-95% accurate on common patterns but struggles with edge cases (variants, hidden prices, dynamic content). Our retailer-specific approach hits 99%+ by handling each retailer's quirks manually.
Diffbot supports many regions but accuracy drops on non-Latin scripts and unfamiliar schemas. We have native Arabic, Hindi, Portuguese teams reviewing data.
For predictable SKU lists with regular refresh, per-SKU is more cost-effective. For random extraction across many entity types, Diffbot may suit better.
Yes — give us 30 SKUs and we'll deliver our data in 24 hours. Compare against Diffbot's output side-by-side.
30 SKUs from any retailer in 24 hours. No credit card. No commitment.