Prompt
Large-scale website collection tool
Latest observation
If you mean a tool for collecting a large number of websites/pages at scale, here are the main options depending on what you want to collect:
1. General web crawling / scraping
- Scrapy (Python): Great for large-scale crawling, very flexible, production-friendly.
- Apache Nutch: Open-source web crawler built for very large-scale crawling.
- Heritrix: Internet Archive’s crawler, designed for archival-scale collection.
- Playwright / Selenium: Better for JavaScript-heavy sites, but heavier and slower for scale.
2. If you want raw webpages archived
- WARC-based crawlers like Heritrix
- Common Crawl datasets if you don’t need to crawl yourself
3. If you want an enterprise-grade managed solution
- Bright Data
- Zyte
- Oxylabs
- Apify
These can handle proxies, CAPTCHA-like issues, retries, and scaling.
4. For large-scale URL discovery + crawling
- Scrapy + Redis for distributed crawling
- Nutch + Hadoop/Spark for big data pipelines
- Custom crawler with:
- URL frontier
- deduplication
- politeness / rate limiting
- robots.txt compliance
- storage to S3 / GCS / HDFS
Important considerations
- robots.txt and site terms
- Rate limiting / politeness
- Deduplication
- Proxy management
- Handling dynamic content
- Storage format: JSON, HTML, WARC, parquet
If you want, I can recommend the best tool stack for your exact use case, such as:
- academic research
- SEO analysis
- news collection
- e-commerce scraping
- archiving
- AI dataset building
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.