Extracto vs Bright Data
An honest comparison of Extracto and Bright Data: when a simple schema-to-JSON API beats a full proxy and scraping platform, and when it does not.
How they differ
Bright Data and Extracto solve different shapes of the same problem. Bright Data is a broad web data platform: one of the largest residential proxy networks in the industry (marketed around 100M-plus IPs), a Web Unlocker for protected pages, a SERP API, a Browser API, 600-plus ready-made scrapers, and a dataset marketplace with hundreds of pre-collected datasets. If your job is large-scale crawling, proxy infrastructure, or buying data you never have to collect yourself, that breadth is a real advantage. Extracto is deliberately narrower. You send one URL and one JSON schema, and you get back typed JSON validated against that schema, with missing fields returned as null instead of a guessed value. There are no CSS selectors to maintain, no proxy pool to configure, and no scraper to pick from a catalog. Every request already runs through a real headless browser with a managed anti-bot handling layer for sites behind Cloudflare, DataDome and PerimeterX. The honest summary: choose Bright Data when you need scale, breadth, or ready data. Choose Extracto when you need focused, structured extraction from specific pages with the least possible setup.
Feature comparison
| Feature | Extracto | Bright Data | Notes |
|---|---|---|---|
| Residential proxy network | Managed, not exposed | 100M+ IP pool (one of the largest) | This is Bright Data's flagship strength. If you need raw proxy access at scale, they lead the market. Extracto manages proxies internally and does not sell or expose them. |
| Output format | Typed JSON validated against your schema | HTML, parsed records, or structured per scraper | Extracto's core edge: you define a JSON schema and get conforming typed data back. Bright Data outputs vary by product and often need a parsing or mapping step you own. |
| Handling of missing data | Returns null, never guesses | Depends on scraper; may omit or infer | Extracto guarantees a field absent on the page comes back as null so you can trust every value. Bright Data behavior depends on which scraper or parser you use. |
| No-code interface | API and schema only | No-code Web Scraper UI + Scraper Studio | Bright Data genuinely wins here for non-developers with a point-and-click builder. Extracto is API-first and assumes you can write a JSON schema and make an HTTP call. |
| Ready-made datasets | None (live extraction only) | Marketplace of hundreds of datasets | A real Bright Data advantage: if the data already exists in their catalog you skip collection entirely. Extracto only extracts live from a URL you provide. |
| Crawling at scale | Single URL per call (not a crawler) | Crawl API + 600+ prebuilt scrapers | Bright Data is built for breadth and volume across many pages. Extracto intentionally does one URL per request, so you orchestrate multi-page jobs yourself. |
| Anti-bot handling | Managed layer included on every request | Web Unlocker (~98% success, separate product) | Both handle Cloudflare, DataDome and similar. Bright Data prices this as its own Unlocker product; Extracto bundles managed rendering into each call with no separate setup. |
| Setup complexity | One URL + one schema, no config | Choose product, configure zone, manage parsing | Extracto's whole value is low surface area. Bright Data's platform breadth means more decisions: which product, which zone, which scraper, how to parse. |
| Login-gated content | Enterprise only (session cookies) | Broader support across products | For authenticated or session-bound pages, Bright Data's platform tooling is more flexible today. On Extracto this is an Enterprise capability and not part of the standard API. |
| SERP / search results | Not a dedicated product | Dedicated SERP API, multi-engine | If you specifically need structured search engine results, Bright Data has a purpose-built SERP API. Extracto can extract a results page you pass it but is not a SERP product. |
Pricing
As of 2026, Bright Data prices per product: residential proxies around 8.40 USD per GB pay-as-you-go falling to roughly 3 USD per GB on committed plans, Web Scraper APIs from about 1 USD per 1,000 records, Web Unlocker near 3 USD per 1,000 successful responses, and datasets starting around 250 USD per 100K records, with managed plans well into four figures monthly. Extracto bills in credits per request rather than per GB or per record, at one flat rate: a scrape is 1 credit and an AI extraction is 5 credits, while anti-bot, residential proxies, and JavaScript rendering are all included at the same price with no multiplier for protected pages. You only pay when a request works, since failed requests and cache hits are free. For focused, per-URL extraction the credit model is usually simpler and cheaper to reason about; for high-volume crawling Bright Data's per-GB and per-record economics may win. Confirm current rates on each vendor's pricing page before committing.
Pricing for Bright Data reflects their public plans at the time of writing. Check their site for current numbers.
Migrating to Extracto
- 1
Map your scraper output to a JSON schema
Take the fields your Bright Data scraper or dataset returns and express them as a JSON schema: field names, types, and which are optional. This becomes the contract Extracto validates against, so any field missing on a page returns null instead of a silent omission or guessed value.
- 2
Replace the scraper call with a single URL request
Instead of selecting a prebuilt scraper or configuring a zone, send one POST with the target URL and your schema. The managed anti-bot layer and headless browser run automatically, so you can drop separate Unlocker or Browser API configuration for these focused extractions.
- 3
Move multi-page jobs into your own orchestration
Bright Data's Crawl API and prebuilt scrapers handle many pages per job. Extracto does one URL per call, so where you previously relied on platform-side crawling, collect your URL list first (sitemap, search, or your own index) and call Extracto per URL, respecting robots.txt and modest volume.
- 4
Validate parity and keep Bright Data where it still wins
Run both side by side on a sample, compare the typed JSON to your old parsed records, and confirm null handling matches your expectations. Keep Bright Data for proxy-only access, ready datasets, SERP, or large crawls, and route the focused schema-to-JSON extractions to Extracto.
When to choose which
Choose Bright Data when scale or breadth is the point. If you need raw residential proxy access, high-volume crawling across thousands of pages, a no-code builder for non-developers, a dedicated SERP API, or data that already exists in their marketplace so you never collect it, Bright Data is the stronger fit and often the only practical one. Their proxy pool and platform depth are genuine, market-leading strengths. Choose Extracto when the task is focused extraction from specific pages and you want typed JSON with the least setup. If you can name the URLs and describe the fields as a schema, Extracto returns validated JSON with nulls for missing data and no selectors, scrapers, or proxy zones to manage. It is the better choice for product teams who want predictable structured output from a handful of page types rather than a full data-acquisition platform.