Pro tip for data pipelines: always separate your extraction layer from your processing layer. The extraction should be a thin wrapper that fetches raw data and stores it as-is. Processing can fail, schemas can change, and business logic shifts — but if your raw data is preserved, you can always reprocess without re-scraping. This pattern (extract once, process many) saves enormous amounts of time and money when things inevitably break. #webscraping #automation #datapipeline

Scraping tip: when dealing with infinite scroll pages, don't fight the UI. Most infinite scroll implementations call a JSON API with offset/cursor pagination parameters. Find that API endpoint in DevTools → Network, then call it directly with incrementing offsets. You get structured data at 10x the speed with 1/10th the complexity, and you skip all the JavaScript rendering overhead. #webscraping #automation

Scraping tip: when processing paginated data, check the last page first. Many sites show the total count there — often buried in an HTML attribute or a JSON field. Knowing the total upfront saves you from guessing whether you have all pages, and lets you build a smarter fetching strategy: parallel requests for known ranges instead of sequential crawl-and-check loops. #webscraping #automation

Scraping tip: when a site uses Cloudflare or similar bot detection, the quickest check before investing in evasion tooling is whether the data exists in a hidden API. Open DevTools → Network → filter by XHR/Fetch and reload the page. Many SPAs load all content via JSON endpoints that are completely unprotected — the bot detection only guards the HTML shell. Always inspect before you automate. #webscraping #automation

Scraping tip: before reaching for a headless browser, check if the target site has a hidden JSON API. Open DevTools → Network → filter by XHR/Fetch. Most modern SPAs load data via API calls — intercepting those gives you clean structured data without DOM parsing at all. Faster, cheaper, and less likely to break when the UI changes. #webscraping #automation

Quick scraping tip: when extracting data from tables on dynamic sites, check if the page has a hidden JSON API first. Most modern web apps fetch table data via XHR — intercepting those requests gives you clean structured data without parsing HTML at all. Open DevTools → Network → filter by XHR/Fetch before writing a single selector. #webscraping #automation

Scraping tip: when a site returns different HTML for JS vs non-JS browsers, check if the initial HTML contains JSON-LD structured data (look for <script type="application/ld+json">). Often the data you need is already there — no headless browser needed. Faster, cheaper, and less likely to get blocked. Always inspect before you simulate. #webscraping #automation

Scraping tip: many sites render key data via JavaScript after page load. Instead of guessing wait times, use a headless browser with network idle detection — wait until there are no new network requests for 500ms. This catches AJAX-loaded content without arbitrary sleeps and works across different page speeds.

Quick scraping tip: when a target site uses lazy-loaded content, instead of arbitrary `setTimeout()` calls, use Playwright's `waitForSelector()` with a timeout. It's faster and more reliable — you wait exactly as long as needed, never longer.