How to Scrape Infinite Scroll Pages Without Code

Infinite scroll is a design pattern where new content loads automatically as you scroll down the page — instead of displaying traditional pagination with numbered pages. Sites like LinkedIn, Google Maps, Twitter/X, and Instagram all use this pattern. It creates a challenge for scrapers because the data doesn't exist in the HTML until the user scrolls to trigger it.

This guide explains how infinite scroll works, why it's difficult to scrape with traditional methods, and how to extract data from infinite scroll pages using Clura's AI Chrome extension — without writing any code.

Why Infinite Scroll Is Hard to Scrape

Traditional scrapers send an HTTP request to a URL and parse the returned HTML. With infinite scroll, only the first batch of results exists in the initial HTML. The rest of the data loads dynamically via JavaScript API calls as the user scrolls. A basic scraper never sees these additional results — it only gets the first screenful of content.

To scrape infinite scroll pages properly, you need a tool that:

• Runs inside a real browser (not a headless HTTP client)
• Can simulate scrolling to trigger new content loads
• Continues extracting as new items appear
• Knows when the page has finished loading all available content

How Clura Handles Infinite Scroll

Clura is a Chrome extension that runs inside your actual browser. When you activate a template on an infinite scroll page, Clura automatically scrolls down the page, waits for new content to load, extracts the newly visible items, and repeats until it reaches the end or you stop it manually.

This works on any site that loads content via scroll — including LinkedIn search results, Google Maps listings, Twitter/X feeds, and e-commerce product grids.

Step-by-Step: Scraping an Infinite Scroll Page

1. Open the page. Navigate to the infinite scroll page you want to scrape and apply any search filters or settings you need.
2. Install and open Clura. Click the Clura extension icon in your Chrome toolbar.
3. Select a template or describe the data. Choose a pre-built template (e.g. LinkedIn Profiles, Google Maps Places) or describe the fields you want in plain English.
4. Run the extraction. Clura will begin scrolling and collecting data automatically. You can watch the row count increase in the extension panel as new results load.
5. Stop and export. When you have enough data, stop the extraction and export to CSV, Excel, or Google Sheets.