AI crawlers need to be more respectful
AI-powered web crawlers are hitting sites with massive, often buggy scraping campaigns that far exceed traditional search engines, in some cases pushing tens of terabytes of traffic through a single site and generating thousands of dollars in bandwidth costs. Commenters describe this as a tragedy of the commons: many AI and data-aggregation startups rush to harvest public content with little regard for robots.txt, rate limits, or infrastructure costs, while site owners struggle with mitigation, expensive hosting, and limited legal recourse. Proposals range from stricter rate limiting, spider traps, and blocking cloud IP ranges to new technical standards and regulation that would make large-scale crawling more accountable and sustainable.
Scale and Impact of AI Crawlers
- Multiple operators report AI crawlers generating far more load than all search engines + humans combined.
- Example from the article: tens of TBs in a month from a single buggy crawler, costing thousands in bandwidth.
- Some see 2–3 AI crawlers consuming the majority of their traffic; others argue that, relative to all crawlers globally, “only a few bad ones” misbehaving is not surprising but still costly.
Comparisons with Traditional Search Engines
- Many distinguish between old search crawlers and AI crawlers: search used to send traffic back; AI and modern search “answer pages” can extract value without referrals.
- Googlebot is described as comparatively “well-behaved” but imperfect around 429/503 handling and Retry-After.
- Non-Western and some commercial crawlers are criticized for high crawl rates with little or no referral traffic.
Mitigation Strategies and Their Limits
- Common defenses: IP-based rate limiting, CAPTCHAs, fail2ban, spider traps, “infinite garbage” pages, honeypot services, and aggressive IP blocking (including whole cloud-provider ranges or even countries).
- Others argue this hurts real users (e.g., shared IPs, old user agents, mobile CGNAT, Tor) and is hard for public-information sites.
- Suggestion to rate-limit non-browser user agents; counterpoint: bots spoof modern UAs.
- Distributed crawlers from many cloud IPs bypass simple per-IP rate limits.
Hosting Costs and Infrastructure Choices
- Several commenters say the real problem is expensive bandwidth on big clouds; others counter that documentation/text sites shouldn’t need heavy infra until bots appear.
- Alternatives suggested: cheaper EU hosts, dedicated fiber, unmetered racks, better CDN integration.
Legal and Policy Debates
- Debate over whether abusive crawling is “theft of service” or only a ToS issue if the crawler has explicitly agreed (login-gated content vs public pages).
- Some call for lawsuits, fines, or invoicing abusive crawlers; others doubt cross-border enforceability.
- Robots.txt is seen as a social norm, not a strong legal instrument.
Broader Concerns About the Web’s Future
- Many see AI data-scraping as a race-to-the-bottom “tragedy of the commons,” accelerating paywalls and enclosure of useful content.
- Some call for standardized, rate-limited machine-readable feeds/APIs and even regulatory standards enforced via CDNs/ISPs.
- Others are pessimistic: as long as users get convenience and dopamine, they’ll tolerate exploitative crawling and centralization.