Ecommerce analysts
Price snapshots
Compare visible prices, original prices, discounts, delivery labels, and seller names across the products Google surfaces for a category keyword.
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This Google Shopping product listing scraper turns keyword result pages into a structured CSV export. It starts with the sample keyword iPad, visits Google Shopping and shopping-style result URLs, normalizes dynamic product cards into stable rows, and exports product names, prices, stores, ratings, reviews, delivery labels, source URLs, and image URLs from a local desktop app workflow.
CSV file
13
11 URLs
Load + 3s
Free
What it does
The workflow is built for listing pages, not individual product pages. The Navigate block contains Google Shopping result URLs for iPad, including tbm=shop, udm=28, pagination offsets, and a shopping.google.com search URL. After each page loads, UScraper waits for the document body, pauses briefly, injects a normalization script, checks that product rows exist, then writes a structured export.
That injected step is important because Google markup changes across surfaces. The template converts whatever product cards are rendered into .uscraper-product-card rows with data attributes, so the export block can read consistent fields. If Google returns a CAPTCHA, sorry page, update-browser page, or other anti-bot screen, the template writes a diagnostic fallback row instead of scraping challenge tokens.
Scrape Google Shopping listings
Collect product cards from keyword result pages instead of copying prices, sellers, and URLs by hand.
Export Google Shopping to CSV
Keep product, price, rating, seller, delivery, and image fields in stable spreadsheet columns.
Use multiple result surfaces
Start from the bundled pagination URLs, then add more keyword, language, or country variants when you need broader coverage.
Keep the run local
The browser automation and CSV output stay under your desktop app session and configured save folder.
Who uses it
Ecommerce analysts
Price snapshots
Compare visible prices, original prices, discounts, delivery labels, and seller names across the products Google surfaces for a category keyword.
Retail growth teams
Assortment research
Download Google Shopping results before a campaign launch to see which merchants, product titles, and offer messages dominate the result set.
Market researchers
Competitor tracking
Build repeatable CSV snapshots for branded and generic queries, then join product URLs and store names with your internal catalog notes.
How to use
Download and import
Download the free JSON template from this page, then import it into UScraper.
Edit keyword URLs
Replace the sample iPad URLs with your own encoded Google Shopping keyword, language, country, and pagination URLs.
Check waits and browser state
Keep the page-load wait, body check, and short sleep so dynamic cards have time to render before the normalization script runs.
Choose the export folder
Confirm the Structured Export save location and whether append mode is right for your next batch.
Run and open the CSV
Start the workflow, let Loop Continue process each URL, then open the CSV output for review.
The automation is easy to audit at a high level: Navigate to a known result URL, wait and settle, inject JavaScript to normalize cards, verify rows exist, export structured fields, then continue to the next URL. If you rerun the same file in append mode, delete or rename the previous CSV first unless you want old and new rows combined.
Output preview
google-shopping-product-listing-scraper.csvColumn
keyword
Search keyword detected from the current URL.
Column
product_name
Product title from the rendered listing card.
Column
product_url
Google Shopping product URL when exposed.
Column
rating
Rating value when present.
Column
review_count
Visible review count from the card.
Column
tags
Rating, review, or status labels captured from accessible text.
Column
price
Current displayed price.
Column
original_price
Struck-through or secondary price when available.
Column
discount_information
Coupon, sale, save, or discount wording.
Column
store
Merchant or store name near the price.
Column
product_source_url
Merchant URL or source link after Google redirect cleanup.
Column
delivery_and_returns
Shipping, delivery, pickup, or returns label.
Column
product_image
Primary product image URL when exposed.
Sample rows
2 of many
| keyword | product_name | product_url | rating | review_count | tags | price | original_price | discount_information | store | product_source_url | delivery_and_returns | product_image |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| iPad | Apple iPad 10th Generation 10.9-inch 64GB | 4.7 | 3,842 | 4.7 stars | product reviews | $329.00 | $349.00 | Save $20 | Example Electronics | Free delivery and returns | |||
| iPad | Apple iPad Air 11-inch Wi-Fi 128GB | 4.8 | 1,127 | Top rated | reviews | $599.00 | Sample Store | Delivery by Friday |
Automating Google Shopping may be restricted by Google Terms of Service, robots rules, marketplace terms, copyright, database rights, privacy law, or regional rules even when listings are publicly visible. Keep volume modest, do not bypass verification challenges, avoid collecting personal data, and get legal review before commercial reuse.
Before you scale
Guardrails for reliable Google Shopping exports
Do not hammer result pages
Large unattended batches can trigger verification, throttling, incomplete rendering, or diagnostic fallback rows. Increase delays before increasing page count.
Shopping layouts change often
Empty prices, missing stores, or repeated fallback rows usually mean Google changed result-card markup or blocked the automated browser session.
Review terms before commercial reuse
Treat the CSV as research input. Review Google policies and applicable law before redistributing, reselling, or combining scraped shopping data with other datasets.
Browse the UScraper template library, install the local desktop app from the download page, and use this template whenever you need a repeatable way to export Google Shopping products without rebuilding a spreadsheet by hand.
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