Discover the hidden costs of in-house web scraping
For teams deciding how to source web data and who to trust with it.
Managed web data for pricing, AI, market research, risk, reviews and job data. Pick a custom feed built and maintained by PromptCloud, or a specialist platform.
Explore services CalculatorEstimate the annual cost of in-house scraping, including engineering time, proxies, compute and rebuilds, and compare it with managed infrastructure.
Calculate your cost Guide11 real failure modes, what each one costs, and what enterprise teams do differently to keep data flowing.
Read the guide ComparisonsSide-by-side pages for Bright Data, Zyte, Oxylabs, Apify, Grepsr, Diffbot and more, covering delivery model, pricing, infrastructure, SLAs and scale.
Compare providersResearch, guides and definitions for anyone new to web data or going deeper.
Original research on web access, anti-bot technology, outsourcing, DIY scraping costs and web data for AI.
See all reports EbooksPractical playbooks on vendor evaluation, data quality, compliance, integration and building the business case.
Browse ebooks ArticlesHow-tos, trends and applications of web scraping across ecommerce, finance, travel, jobs and AI.
Read the blogHow companies use managed web data, with the numbers behind it.
Enterprise projects across news, automotive, real estate, pharma, sports and B2B intent data.
View case studies Customer storiesNamed customers, including Treebo, YouScan, Enervee and Kardmatch, on what they built with PromptCloud data.
Read their storiesWhen you need records now rather than a custom crawl.
300,000+
Records are delivered daily to a Brazilian news portal through web content extraction.
50%
100+ cities
covered by Treebo’s dynamic pricing, powered by reliable competitor rate data.
Quick answers to what people ask most before exploring the library.
PromptCloud publishes free resources on web scraping and web data: research reports, ebooks and guides, a blog, a glossary of 500+ web scraping terms, enterprise case studies, client success stories, industry datasets, vendor comparison pages, a build vs buy cost calculator and a guide to why web scrapers fail in production.
It depends on your total cost of ownership. In-house scraping costs include engineering time, proxies, compute, monitoring and rebuilding scrapers when sites change, and teams often underestimate these. The Build vs Buy calculator estimates your annual cost for both options so you can compare them directly.
Production scrapers usually fail because target sites change their layout, anti-bot systems block requests, JavaScript rendering changes, proxies get flagged, or data quality degrades silently without monitoring. The production failure guide covers 11 common failure modes, what each one costs and how enterprise teams prevent them.
PromptCloud is a fully managed web data provider that builds, runs and maintains crawlers and delivers clean data feeds, while many alternatives sell proxies, APIs or self-serve tools that your team operates. The Compare Alternatives section has side-by-side pages for Bright Data, Zyte, Oxylabs, Apify, Grepsr, Diffbot and others.
Web scraping legality depends on what data is collected, how it is collected and which jurisdictions apply. Publicly available, non-personal data is generally lower risk than personal data or content behind a login. The web scraping legality ebook explains the main considerations; it is not legal advice.
Yes. The blog, glossary, case studies, customer stories and comparison pages are open to read. Reports and ebooks are free to download, and some may ask for an email address.