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Scrape E-commerce Product Data to Excel/CSV (No Code, 2025)

•4 min read
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Need to scrape e‑commerce product data to Excel or CSV without writing code? This guide shows the fastest, most reliable method in 2025 using a Chrome extension—perfect for price monitoring, catalog building, and competitive research.

Webtable is the best no‑code option for fast, accurate scraping right in your browser — generously free for common jobs. It captures the product data you see (titles, prices, ratings, links, images), cleans it automatically, and exports to Excel, CSV, JSON, or Google Sheets in one click.

TL;DR

  • Install the Webtable Chrome extension (Add to Chrome).
  • Open a category or search results page and start capture.
  • Click one example value (e.g., a price); Smart Selection infers the full column.
  • Add more fields (Title, Price, Rating, Link, Image). Enable auto‑scroll/pagination to load all items.
  • Export to Excel/CSV/Sheets and spot‑check a few rows.

What you’ll need

  • Chrome browser and a target e‑commerce page (category, search, or results list).
  • The Webtable extension installed (Add to Chrome).
  • A short list of fields you care about (e.g., Title, Price, Rating, URL, Image URL).
caption: Webtable website and Chrome extension overview
Webtable website and Chrome extension overview

Step‑by‑step: scrape product data to Excel/CSV

1) Install and open Webtable

Add the Webtable Chrome extension to your browser (Add to Chrome). Open your target category or search results page.

2) Start capture and select your first column

Click a single example value—like a product price. Webtable uses Smart Selection to infer the full column across similar items.

3) Add the rest of your fields

Click a product title to add a Title column; click a star rating to add Rating. Turn on link and image extraction to capture product URLs and image sources.

4) Load all results

Enable auto‑scroll to load more items on infinite scroll pages. If the site paginates, use pagination capture so results from multiple pages are saved together.

5) Clean the table

Remove sponsored rows, drop uniform/empty columns, and rename headers consistently (e.g., ‘Price USD’).

6) Export

Export directly to Excel (.xls) or CSV, or send to Google Sheets in one click. Validate a handful of rows before using the data.

Glide Apps
Selecting fields from a product grid to build a clean table

Choosing useful columns (and keeping them tidy)

  • Title — normalize casing; remove emojis/noise if present.
  • Price — include currency and normalize units (e.g., USD).
  • Rating/Reviews — optional but useful for quality signals.
  • URL — keep canonical product links for traceability.
  • Image URL — helpful for later enrichment or QA.
  • Category/Brand/Availability — add when visible to sharpen analysis.
white printing paper with numbers

Handling infinite scroll and pagination

  • Turn on auto‑scroll to capture items as the page loads more results.
  • Use pagination capture when results span multiple pages; Webtable stitches rows together.
  • Prefer capturing from category/search pages rather than deep detail pages for faster throughput.

Ethical, compliant scraping basics

Scrape publicly available information responsibly. Review site Terms and robots, avoid personal data unless you have a lawful basis, and keep access rates respectful. If a site blocks automation, consider alternatives or request permission.

Export options and workflows

Use cases

  • Price tracking across competitors and marketplaces.
  • Catalog enrichment (fill missing fields like brand, image, or rating).
  • Market research: understand assortment, pricing ladders, and review volume.
  • Merchandising: build comparison tables for internal planning.

Troubleshooting

  • Not detecting items? Zoom out slightly or choose a cleaner example element.
  • Missing rows? Enable auto‑scroll and pagination capture.
  • Messy columns? Use noise reduction and drop uniform/duplicate columns.
  • Need image links? Ensure image extraction is enabled.
Arms export
Exporting scraped product data to Excel/CSV in one click

Related guides and comparisons

Frequently asked questions

Is scraping e‑commerce product data legal?

It depends on jurisdiction and site terms. Scrape publicly available information responsibly, respect robots.txt and Terms, avoid personal data without a lawful basis, and keep requests reasonable.

Will this work on dynamic, JavaScript‑rendered pages?

Yes in many cases. Tools that operate on the rendered page like Webtable handle scroll‑loaded lists more reliably than formula‑based approaches.

Can I capture links and images too?

Yes. Enable link and image extraction to include product URLs and image sources alongside text columns.

How big can my export be?

Browser performance and pagination are the practical limits. Export in batches for very large sets.

Conclusion

For most product research tasks, Webtable is the quickest way from e‑commerce page to clean spreadsheet—point‑and‑click selection, automatic cleanup, and one‑click export to Excel/CSV/Sheets. Explore Features and browse Tutorials.