Prompt
How do I crawl millions of pages without building infra?
Latest observation
Oct 4, 2026
OpenAI APIWeb search: off
If you want to crawl millions of pages without building infrastructure, the easiest path is to use a managed crawling/extraction service rather than running your own browser fleet, proxies, queues, retries, and storage.
Best options
1) Managed web scraping APIs
These handle:
- fetching pages
- rotating IPs / proxies
- retries / rate limits
- browser rendering for JS sites
- anti-bot handling
- sometimes extraction to structured JSON
Examples:
- Apify
- Zyte
- Bright Data
- ScrapingBee
- Zenscrape
- Oxylabs
Good when you need scale fast and don’t want ops work.
2) Cloud crawl platforms
These are closer to “run a crawler as a service”:
- define URLs, rules, and extraction
- they run workers for you
- can export to S3, BigQuery, webhook, CSV, JSON, etc.
Examples:
- Apify actors
- Zyte API / Scrapy Cloud
- Diffbot for extraction-heavy use cases
3) Headless browser orchestration services
If pages require JS rendering:
- use a service with managed Playwright/Puppeteer
- you write the crawl logic, they manage the compute
Examples:
- Browserless
- Apify
- Zyte
A practical approach
For millions of pages, don’t think “single crawl job.” Think:
- Seed URLs
- Distribute crawl tasks
- Deduplicate URLs
- Throttle by domain
- Store raw HTML + metadata
- Extract data separately
- Resume from checkpoints
Managed platforms usually give you most of this.
If you want the simplest setup
A common low-infra stack is:
- Apify or Zyte for crawling
- S3 / GCS for raw page storage
- BigQuery / Postgres / Elasticsearch for processed data
- Airflow / Make / simple scripts only for orchestration, if needed
How to choose
Choose managed scraping if:
- you need millions of pages
- sites are dynamic or protected
- you want to avoid proxy/browser maintenance
- speed matters more than lowest possible cost
Choose your own crawler if:
- you have a dedicated infra team
- crawl logic is highly custom
- cost at massive scale outweighs convenience
Important considerations
- Respect robots.txt and site terms
- Rate limit per domain
- Expect failures and retries
- Store raw responses so you can reprocess without recrawling
- Use incremental crawling after the initial bulk crawl
Recommended starting point
If you want minimal engineering effort:
- Use Apify or Zyte
- Start with a small crawl of 10k–50k pages
- Measure:
- success rate
- cost per 1k pages
- JS rendering needs
- anti-bot friction
- Scale to millions once stable
If you want, I can recommend the best service based on your site type:
- static pages
- JS-heavy pages
- e-commerce
- news/content sites
- login-required sites