Web data in the agent era, without the hype.
What agents can and cannot do with the web, what it costs, and how to get data you can rely on. Every claim is sourced; numbers are as of November 2026.
- Guide Can your AI agent replace a web scraping service? When a browser agent or MCP tool is enough for web data, when it is not, and what each option really costs per page and per month in late 2026. Read
- Guide Cloudflare's 2026 AI bot rules, explained for data teams A timeline of Cloudflare's AI bot changes from the July 2025 default block to the September 2026 Agent and Training defaults, and what each one changes for data teams. Read
- Guide Web data for AI agents: managed feeds vs. live browsing vs. search APIs Three ways to give an AI agent web data: live browsing, search and extract APIs, or a managed feed. What each costs, where it fails, and how to combine them. Read
- Guide Browser agents vs. scrapers: cost per page, success rates and failure modes A numbers-first comparison of LLM browser agents and conventional scrapers: cost per page, benchmark success rates, how each one fails, and when to use which. Read
- Guide How to monitor competitor prices at scale A practical guide to competitor price monitoring: SKU matching, cadence, variants, regions, change detection, anti-bot handling, QA, delivery, and build vs. buy. Read
- Guide How to give your AI agent reliable web data with MCP How to serve web data to AI agents over MCP: live-scrape vs. curated-dataset tools, narrow tool design, schemas, freshness and source fields, hosting and auth. Read
- Guide What a data provenance record should contain A practical checklist for data provenance: source URL, retrieval time, method, extractor version, confidence, observed vs. derived, and change history, with an example. Read
- Guide Building eval and RAG datasets from web data Where web data fits in AI training, eval and RAG: niche corpora, multilingual and eval sets, fresh knowledge feeds, plus dedup, contamination and licensing metadata. Read
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