Search the corpus you actually need
Turn a broad archive into a bounded dataset using market, language, category, format, date, and domain filters.
Web Archive API
Start your training
Start your training
with
the web already crawled.
A searchable copy of the public web: 770B+ pages from 320M domains, growing by ~1.5B pages a day. Filter by language, country, category, format, and date, then deliver the selected dataset to your cloud.
Built for
Trusted by 50,000+ customers worldwide
100+languages
50B+URLs discovered daily
~300TBcollected daily
100/dayfree archive searches
50TBtrial for qualified teams
Web data ready for GPUs
Your first training run or search index should start with web data ready for GPUs.
Know the footprint before export
Get page count, estimated bytes, pricing, and a retrieval plan before moving a single object.
Deliver into your stack
Stage Parquet, NDJSON, or CSV into S3, GCS, or Azure with completeness reporting.
Ready to validate the dataset? Review coverage, retrieval timing, and trial scope with sales.
Get sample
Unified corpus definition
Define the dataset once for training, indexing, or sovereign AI.
Start from an outcome, then refine the same query. The preview updates the request payload, dataset scale, storage footprint, and expected retrieval class.
Market / language
Global coverage explorer
Select a country on the globe or use the menuDrag to rotate. Click a country to update the dataset.
Archive coverageSelectableSelected
Snapshot window
Delivery format
Cloud destination
Content multi-select
Categories multi-select
-planning page count
-estimated dataset size
-indicative dump cost
-retrieval class
Archive search payload
Planning preview only. Run the live search to validate page count, size, price, and retrieval timing against the Archive index.
Get sample
Technical path
From a filter expression to model-ready objects in your cloud.
The Archive removes crawling from your critical path while your data engineers retain control.
01Filter
Dataset definitionLanguage, country, category, modality, date, and domain constraints.
02Resolve
Archive indexResolve matching HTTP-200 snapshots across 770B+ archived pages.
03Plan
Retrieval manifestCount pages, classify storage tier, estimate bytes, cost, and sequence.
04Stage
Partitioned exportRetrieve and package in ~1GB batches with completeness reporting.
05Deliver
Your object storeParquet, NDJSON, or CSV into S3, GCS, or Azure.
Focus engineering on models
Bright Data handles schedulers, proxy rotation, retries, and browser rendering.
Scope spend before transfer
Search the archive, define the corpus, and test a sample before export.
Maintain freshness after bootstrap
Move from the historical archive to daily refreshes through the same data layer.
Map the Archive to your stack. Review formats, partitions, cloud delivery, and refresh architecture.
Review the architecture
Coverage with operating controls
Coverage, compliance, and operational support belong in the same data layer.
A training dataset has to pass technical evaluation, procurement, and counsel before it fills GPUs.
Web-scale coverage
110PB+ across 320M domains, 100+ languages, JS-rendered HTML, PDFs, images, and historical search data. Approximately 1.5B pages are added daily.
Compliance-ready sourcing
KYC-gated access, a court-tested collection framework, and documentation aligned to EU AI Act training-content transparency requirements.
Built for the next run
Use the archive for the bootstrap, then move to recent slices or Data Firehose for continual training and index freshness.
| Requirement | Archive capability | Engineering outcome |
|---|---|---|
| Dynamic pages | JS-rendered, HTTP-200 snapshots | Less browser infrastructure and fewer empty documents |
| Document depth | HTML, PDFs, images, historical SERPs | One corpus layer across training modalities |
| Market coverage | 100+ languages and country-level filters | Local-language and sovereign datasets from the same API |
| Delivery | Parquet, NDJSON, CSV to your cloud | Fit existing Spark, Ray, and object-store pipelines |
| Governance | KYC, compliance controls, sourcing documentation | Bring counsel and procurement in before the dump |
| Refresh | ~1.5B new pages/day plus filtered Firehose | Bootstrap once, then maintain freshness continuously |
Bring counsel into the data review. Request sourcing, security, and compliance documentation.
Request the compliance pack
Solution teams in five hubs
Work with support in your time zone.
Qualified programs work with account and solution teams near the people building the model or index. Bring the dataset definition, cloud target, and launch date. The team will prepare a retrieval plan.
San Francisco--:--
New York--:--
European Union--:--
China--:--
Israel--:--
Meet the team supporting your region. We will route the request to the relevant account and solution team.
Contact local supportCSA STAR
GDPR
ISO 27701
SOC2
SOC3
The most compliant and ethical web data platform
Build your web data operations on industry-leading ethical and compliant technology:
- Enforcing verified use cases and prevents misuse
- Sourcing IPs through transparent, opt-in partnerships
- Robust KYC processes to ensure ethical use
- Backed by the highest industry standard certifications
Your first dataset review
Validate your dataset and start a 50TB trial.
We will validate coverage against the live archive, identify the retrieval class, sequence delivery around your launch date, and scope the trial with your engineering team.
For qualified AI labs, search companies, and sovereign AI programs.