Prompt

What should I use for large-scale URL discovery and crawling?

Technology / Cloud Infrastructure1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

For large-scale URL discovery and crawling, you usually want a crawler framework or distributed crawler setup, not just a simple HTTP library.

Good options by use case

1. General-purpose large-scale crawling

  • Scrapy (Python)
    • Great for building crawlers quickly
    • Mature ecosystem
    • Can be scaled with Scrapy-Redis, Scrapy Cluster, or your own queue system
  • Apache Nutch
    • Designed for large-scale web crawling
    • Built on Hadoop ecosystem
    • Good if you already use big-data infrastructure
  • StormCrawler
    • Java-based, distributed, good for enterprise-scale crawling

2. URL discovery specifically

If you mainly need to find URLs rather than fully crawl content:

  • Sitemaps
    • Best starting point when available
  • Common Crawl
    • Huge public web crawl dataset
  • Search engine APIs
    • For discovery via indexed results
  • Focused crawlers built on:
    • Scrapy
    • Playwright/Puppeteer if the site is JS-heavy

3. JavaScript-heavy sites

  • Playwright
  • Puppeteer
  • Sometimes paired with a crawler queue for scale

4. Very high scale / custom infrastructure

If you’re crawling millions or billions of URLs:

  • Use a distributed queue (Kafka, RabbitMQ, Redis, SQS)
  • Use workers with:
    • HTTP client
    • robots.txt handling
    • rate limiting / politeness
    • deduplication
    • canonicalization
  • Store discovered URLs in a dedup/index layer like:
    • Redis Bloom filter
    • Elasticsearch
    • PostgreSQL with unique constraints
    • Bigtable / Cassandra / DynamoDB at larger scale

Practical recommendation

  • If you want the easiest strong default: Scrapy
  • If you need distributed crawling at enterprise scale: Apache Nutch or StormCrawler
  • If sites are JS-heavy: Playwright + queue-based crawler
  • If you need URL discovery at internet scale: use a distributed crawler architecture, not a single tool

What I’d recommend in most cases

A solid stack is:

  • Scrapy for crawling logic
  • Redis/Kafka/SQS for the URL frontier
  • PostgreSQL/Elasticsearch/Redis Bloom for dedup and storage
  • Playwright only for pages that truly need rendering

If you want, I can suggest a stack based on:

  1. your language preference,
  2. target scale,
  3. whether the sites are JS-heavy,
  4. and whether you need just discovery or full content extraction.

Observation history

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