Scrape Do

@scrape-do fetch the main content from techcrunch.com/startups and wait for any lazy-loaded articles to appear

I've scraped TechCrunch's startups section with JavaScript rendering enabled. The page returned 12 article headlines with summaries, author bylines, and publication timestamps. The custom wait time ensured that dynamically loaded content below the fold was captured. The response includes the full HTML structure plus extracted text content totaling approximately 8,500 characters. Note that this is an illustrative example—actual content varies by page state and may include additional elements like sidebar widgets or comment sections.

This example demonstrates Scrape Do's JavaScript rendering capability, essential for modern SPAs and dynamic sites. Requires the 'render=true' parameter and may consume more API credits than static scraping. Be aware of rate limits on your plan tier and ensure your use case complies with the target site's robots.txt and terms of service.

@scrape-do block all Google Analytics and Facebook Pixel scripts while scraping example.com/products, then return just the product listings

I've configured the scrape request to block URLs matching '*google-analytics.com*' and '*facebook.net/*/fbevents.js*' patterns. The scrape completed successfully, returning 24 product cards with titles, prices, and image URLs. By blocking tracking scripts, the page loaded 40% faster and the response payload was reduced by approximately 180KB. The filtered HTML contains only the core product catalog data without third-party analytics overhead. This is an illustrative example—actual blocking patterns and performance gains depend on the target site's architecture.

This showcases Scrape Do's URL blocking feature, useful for reducing noise and speeding up scrapes. Particularly valuable when you need clean data without tracking pixels or ads. Requires knowing which URL patterns to block—inspect the target site's network activity first. Blocking essential scripts may break dynamic content loading.

@scrape-do monitor WebSocket connections on a live sports score site and summarize what real-time data streams are being used

I've captured WebSocket activity from the target sports site with monitoring enabled. The page established 3 WebSocket connections: one to 'wss://scores.example.com/live' pushing score updates every 2 seconds, one to 'wss://chat.example.com' for fan commentary, and one to 'wss://ads.example.com' for ad refresh signals. The JSON response includes message payloads showing score objects with team IDs, current points, and game clock timestamps. This illustrative example demonstrates the kind of real-time data architecture you'd encounter—actual WebSocket schemas vary by site.

This example highlights Scrape Do's WebSocket monitoring capability, rare among scraping tools. Essential for understanding how sites push live updates (sports scores, stock tickers, chat). Requires 'render=true' and 'returnjson=true' parameters, which increase API cost. The captured WebSocket data can reveal API endpoints and data structures useful for more efficient scraping strategies.

When Scrape Do beats manual price checks for small shops

A 3-person Shopify store tracks 40 competitor SKUs weekly to adjust pricing. Scrape Do's rendered-page tool handles the JavaScript-heavy product pages that break basic scrapers, and the custom wait time ensures lazy-loaded prices actually load before capture. The API key setup takes 10 minutes; the cookie-setting tool handles login walls on wholesale sites. This works until you hit 200+ SKUs or need sub-hourly updates—then the 19-tool overhead and per-request cost make a dedicated scraping service cheaper. If your price check is weekly and under 100 pages, Scrape Do inside Switchy keeps the data in your workspace without exporting CSVs. Set it up once, run it from any agent, and your pricing analyst sees fresh numbers in the same thread as your margin discussion.

Scrape Do for one-time directory pulls, not ongoing CRM sync

A 5-person agency needs 500 local business contacts from a regional chamber directory that loads via JavaScript. Scrape Do's render mode and custom header tools bypass the bot detection, and the URL-blocking feature skips the ad trackers that slow the crawl. You get a clean JSON export in 20 minutes. The catch: this is a one-time or monthly pull, not a daily CRM feed. Scrape Do has no native webhook or database write, so you're pasting results into your CRM manually or writing a Zapier bridge. If you're pulling the same directory every week and feeding Salesforce, you need a different tool. If you're doing quarterly research pulls and discussing the leads in Switchy before outreach, Scrape Do is the right weight—no infrastructure, no ongoing cost between pulls.

When Scrape Do tracks vendor updates without RSS feeds

A 6-person product team tracks 12 API vendors' changelog pages for breaking changes. Half the vendors don't publish RSS, and their changelogs are JavaScript-rendered React apps. Scrape Do's rendered scrape plus WebSocket monitoring catches the updates, and the cookie tool handles the gated changelogs behind login. You run it Monday mornings; results land in a Switchy thread where the eng lead triages which changes need tickets. This breaks down if you need sub-daily checks or if the vendor rate-limits aggressively—Scrape Do's proxy rotation helps but isn't magic. For weekly monitoring of a dozen pages, it's faster than building a scraper or paying for a changelog aggregator. The 19-tool count is overkill for simple HTML scrapes, so only use this when JavaScript rendering is actually required.