Data Firehose & Web Archive Pricing
Stream real-time public web records with Data Firehose, or access 90PB+ of cached pages with Web Archive.
Trusted by 20,000+ customers worldwide
Customer favorite features
- Petabyte-scale repository
- Full HTML pages & metadata
- Advanced filtering & search
- ~2.5 PB added daily
- Text, images, video and audio
- Flexible delivery options
- 5T+ text tokens added daily
- API-first access
- AI-ready data
- 2.5B+ image/video URLs added daily
- Maintenance-free
- 99.99% uptime + 24/7 support
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Not sure what you need?
Archive API FAQ
What is the difference between Data Firehose & Web Archive?
Data Firehose delivers a continuous, real-time stream of live web data as it is collected (~1 billion records ingested daily), which is ideal for active monitoring, price tracking, and ongoing AI training pipelines. The Web Archive provides access to a massive historical repository of over 624 billion cached web pages (90PB+), making it perfect for deep research, backtesting, and longitudinal analysis. Many enterprise teams use both: Firehose for fresh signals and Archive for historical context.
How quickly can I access the data?
You can start accessing data immediately through our Data Firehose. The API allows you to search, retrieve, and filter data snapshots seamlessly and efficiently.
- Data from the last 1 days: Will take from within minutes and up to a few hours to deliver (depending on snapshot size)
- Data older than 1 days: Will take from a few hours and up to 3 days to process and deliver (depending on snapshot size)
How can my data be delivered?
Archive offers two delivery options to ensure seamless integration into your existing workflows:
- Amazon S3 bucket: Have your Data Snapshot delivered directly to your S3 bucket.
- Webhook: Retrieved via webhook for real-time integration into your systems.
Can I filter Archive's data to get only what I need?
Absolutely! Both Data Firehose and Archive API allow filtering by category, domains, date, languages, and country before retrieving data, ensuring you only get what you need.
Are there extra fees for different delivery methods?
No, standard delivery methods are included in your cost. For both Data Firehose and Web Archive, you can choose to have your data delivered directly to an Amazon S3 bucket or retrieved via Webhook for seamless integration into your existing systems. Data Firehose also supports immediate, continuous streaming.
Do I pay extra to apply custom filters to my data?
No, custom filtering is a core capability, not a paid add-on. We encourage strict filtering by category, domain, date, language, and country. By thoroughly scoping your stream or archive retrieval, you actually reduce the total volume of irrelevant records sent to you, which optimizes your overall data costs.
How does Bright Data's Archive compare to Common Crawl?
When working with large-scale web data, freshness, relevance, and accessibility are key. While Common Crawl provides a broad historical snapshot of the web, Bright Data's Archive API offers real-time, continuously updated data with advanced filtering and delivery options. Here's how they compare:
| Feature | Bright Data's Archive | Common Crawl |
| Data Collection | Continuously captures public web data in real time, providing results as recent as "now." | Periodic web crawling (not real-time), updated monthly or bimonthly. Data can be outdated |
| Data Volume | 17.5 PB collected in 8 months, covering 118 billion pages (28 billion unique URLs from 40 million domains). Adds ~2.5 PBs and billions of unique URLs/week. | 250b pages collected over 18 years. |
| Website Coverage & Relevance | Focuses on high-value, relevant website data based on real scraping business needs. | Crawls indiscriminately, including outdated or low-quality pages. |
| Data Types | Full web pages (JS-rendered) | 98.6% HTML and text |
| Filtering & Delivery | Full discovery and delivery platform- filtering by category, domain, language, date etc. Delivered via Amazon S3 or webhook. | No built-in filtering or delivery. Need to manually process huge raw WARC files. |