Cloud scraping platform
Cloud platform for Actors with prepaid credits and pay-per-event or pay-per-usage Actor pricing.
Stack hub
Point-and-click scrapers and monitors for operators who need data without maintaining scraping code.
2 tools · No-code
Reviewed catalog tools that fit this scrape category.
Cloud scraping platform
Cloud platform for Actors with prepaid credits and pay-per-event or pay-per-usage Actor pricing.
No-code scraper
No-code scraper and monitor for extracting and watching public website data.
Choosing a no-code scraper means optimizing for who will maintain the workflow next quarter. No-code tools trade flexibility for speed-to-value. They shine for recurring monitors, competitive checks, and lightweight extracts owned by operators. Engineering teams with high volume or complex auth flows may still prefer scraping APIs or browser infrastructure.
Browse AI is a common shortlist name in this category. Evaluate the builder UX, scheduling, export integrations (Sheets, CSV, webhooks), and what happens when a site layout changes. The best no-code tool is the one your team can repair without opening a sprint. Always verify current pricing on the vendor site - ScraperDB does not invent missing tier prices.
Use free tiers when available to validate a robot on real pages before you pay. If volume outgrows visual robots, graduate to ScraperAPI, ScrapingBee, or Apify Actors while keeping no-code for long-tail monitors. For LLM corpora rather than operational monitors, compare AI crawlers like Firecrawl.
Platform hubs help you apply no-code thoughtfully: LinkedIn, Instagram, Facebook, and Reddit each have different anti-bot and layout realities. Stay inside authorized public-data use; ScraperDB does not publish evasion guides.
Only collect public data you are authorized to access. Follow each platform’s terms, robots rules, and applicable law. ScraperDB does not publish bypass or evasion guides.
A practical shortlist process before you commit budget.
If marketing/research ops will maintain robots, no-code fits. If engineering owns SLAs, lean toward a scraping API instead.
Scheduling and change detection matter more for monitors than for occasional pulls. Buy for the job you will run weekly.
Sheets, CSV, webhooks, or warehouse - pick tools that land data where the team already works.
Break a selector on purpose in a pilot. See how hard recovery is for a non-engineer before you scale robots.
Match the job to the category before comparing brand names.
Operators need visual robots, scheduling, and exports without code.
Engineers need programmable volume and custom pipelines.
You want marketplace Actors plus scheduling but can tolerate more technical setup.
The goal is LLM-ready corpora rather than operational monitors.
Pick no-code when operators own the workflow. Pick a scraping API when engineers need programmable volume and CI integration.
They can work for moderate monitoring volume. Very large or highly custom jobs usually move to scraping APIs or platforms like Apify.
Site layout changes. Evaluate how quickly a non-engineer can retrain or fix a robot - that recovery time is part of total cost.
Check browse.ai/pricing for current free/trial limits, and see whether it appears on our free scrapers hub. ScraperDB does not invent missing tier prices.
For operator-owned monitors, often yes. For engineering pipelines and high volume, an API such as ScraperAPI or ScrapingBee is usually the better long-term fit.