Commerce intelligence API vs scraping APIs
Scraping APIs — Bright Data, Zyte, Oxylabs, ScraperAPI and similar — solve retrieval. They fetch a page you name and return what was on it. That is a real, hard problem, and they solve it well.
Where they win
What the alternative is genuinely better at.
If you need arbitrary pages from arbitrary sites and you are prepared to own parsing, matching, storage and freshness yourself, a scraping API is the right primitive. It is maximally flexible precisely because it makes no assumptions.
Side by side
| Dimension | Scraping APIs | Commerce Census |
|---|---|---|
| Returns | A page, or fields you specified | A resolved product with cross-seller offers |
| Identity | Yours to solve | Resolved, with published confidence |
| History | Yours to store | Append-only, time-weighted, queryable |
| Freshness | Whenever you ask | Cadence earned per listing by observed volatility |
| Cost driver | Requests you make | Products you watch |
| Provenance | Implicit | Explicit channel and confidence per value |
| Time to first answer | Weeks of parsing work | One call |
Scraping APIs
Retrieval is the cheap half
Fetching a page is a solved problem you can buy. What is expensive is everything after: parsing that rots as sellers change layout, matching across sellers, storing history you cannot backfill, and knowing when a value is wrong. Teams routinely discover this in month three.
Scraping APIs
You can use both
Plenty of teams use a scraping API for the long tail of sources nobody indexes and an intelligence API for the core commerce set. These are complements, not substitutes.
Verdict
Which to choose.
Choose a scraping API if the sources are idiosyncratic and you want full control. Choose an intelligence API if you want product identity, history and decision signals rather than raw pages.