Infinite scroll is a web design pattern that loads new content automatically as a user scrolls down the page. Sites use it instead of paginated links to keep visitors browsing without clicking to a new page.
The page starts with a limited set of items, like the first 20 posts or products. When the browser detects that the user has scrolled near the bottom, it fires a JavaScript request to fetch the next batch of content. The new items get added to the page without a full reload, and this cycle repeats as the user keeps scrolling.
Handle it deliberately in production scrapers -- most breakage traces back to skipping this step.
USER-country-de-session-task01Add this string to your scraper's proxy credentials and every request in the job shares one exit IP, which keeps infinite scroll-related behavior consistent across the run. Change "task01" per worker to isolate parallel scrapes.
Isolate the logic for this step so every scraper in the project shares one tested implementation.
Sites change layouts and behavior over time -- recheck this part of the scraper on a schedule, not just at launch.
This works best over residential or ISP IPs, so the target sees ordinary browsing rather than clustered datacenter traffic.
Capture what actually failed so a broken selector or a new status code surfaces instead of getting masked by automatic retries.
A social media feed keeps loading new posts as a user scrolls, with no visible "next page" button.
Standard scrapers that only read the initial HTML miss most of the content on an infinite scroll page. Scraping tools need a headless browser that can simulate scrolling and wait for each new batch of content to load.
No, a plain HTTP request only returns the initial HTML, which usually holds a small fraction of the content. Getting the rest of the content requires a headless browser that runs JavaScript and simulates scrolling.
Most scrapers stop when no new content loads after a scroll action, or when they hit a set item count or time limit set by the developer.
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