Built for multi-page data collection
Handle category pages, search results, directories, and forums where the useful rows are distributed across multiple pages.
Scrape Paginated Websites
Scrape paginated websites without rebuilding selectors on every page
DataLens helps teams scrape paginated websites when data lives across search results, category pages, directories, or review threads. Detect the row structure once, keep collecting across pages, and export the full result.
Use this page as a starting point for the full workflow: collect the source, clean the table, analyze the patterns, and keep the exportable file together.
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AI scraping workbench
Collect, clean, and deliver without rebuilding the workflow.
DataLens keeps the messy browser step, the structured table, and the exportable files together so analysts, operators, and growth teams can move from live pages to decisions faster.
Collect
Capture live page evidence
Open the source in Chrome and let DataLens detect repeated rows, links, images, comments, or listings on the page you are already viewing.
Clean
Shape messy fields into a table
Use the AI scraping workbench to normalize labels, preserve source context, and keep raw rows beside the cleaned dataset for review.
Deliver
Export files people can use
Send CSV, Excel, JSON, or a research report to the team without stitching together screenshots, scripts, and disconnected spreadsheets.
Reduce manual page hopping
Detect pagination patterns automatically so you do not have to copy one page at a time or rebuild extraction rules after each click.
Export one combined dataset
Review the aggregated rows and export the full paginated scrape to Excel, CSV, or JSON when the run is complete.
Real-world use cases
Scrape ecommerce category pages that spread products across multiple results pages.
Extract company directories and people-search results that require next-page traversal.
Capture review threads, forums, and comment archives where the full conversation spans many pages.
How it works
- 1
Start on the first page of the directory, search results, or listing set you want to scrape.
- 2
Use DataLens to detect the repeated row structure and the next-page pattern.
- 3
Collect data across the paginated website and export the merged result.
Frequently asked questions
Use these questions to decide how a live website becomes an AI scraping workflow.
Can DataLens scrape paginated websites automatically?
Yes. It is built to identify the next-page control and continue collecting repeated rows across paginated result sets before export.
What kinds of paginated pages work well?
Search results, product categories, property listings, directories, and review archives are common fits because they repeat a stable row or card structure across pages.
Can I export paginated website data to Excel or CSV?
Yes. After DataLens finishes collecting rows across the paginated website, you can export the combined result to Excel, CSV, or JSON.
Related workbench workflows
Compare adjacent collection paths by source, export format, and team job.
Website to Excel
Convert any website to Excel without writing selectors
Export website tables, listings, comments, and paginated results into clean Excel files without manual selectors.
Ecommerce Price Scraper
Monitor ecommerce prices and product data without maintaining scraper code
Extract prices, stock levels, product descriptions, and listing data from ecommerce pages. Export to Excel, CSV, or JSON.
Product Catalog Scraper
Capture product catalog data from listing pages without selector maintenance
Turn catalog pages, product grids, and marketplace listings into structured exports for ecommerce and ops workflows.