Marketplace sellers
Product research
Collect approved ASIN review samples, then group complaints, star ratings, verified purchase signals, and product variant feedback before changing listing copy or sourcing decisions.
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This Amazon Mexico review scraper exports amazon.com.mx review pages into a structured CSV for ecommerce research, product monitoring, and voice-of-customer analysis. Import the workflow into the UScraper local desktop app, replace the sample ASIN review URLs, and collect ratings, reviewer names, review titles, review text, dates, verified purchase badges, helpful votes, image counts, and source URLs without writing a custom scraper.
CSV file
16
6 pages
45s + pause
Free
What it does
Amazon review pages can return different states depending on product, region, cookies, pacing, and anti-automation checks. This Amazon review extractor is built as a best-effort workflow for normal amazon.com.mx review URLs. The Navigate block starts with six editable URLs across two sample ASINs and three page numbers each, so you can swap in the products you are approved to research.
After each page loads, UScraper pauses, runs an in-page JavaScript step that requests Amazon's review-render HTML for the current ASIN and page, and normalizes returned review cards into a predictable list. The workflow then checks for review rows before exporting. If Amazon returns a CAPTCHA, robot check, empty page, geo redirect, or blocked response, the false branch continues the loop instead of creating misleading blank rows.
Review text with audit fields
Export reviewer names, profile links, ratings, titles, dates, product variants, verified purchase badges, helpful vote text, image counts, direct review URLs, source URLs, and scrape timestamps.
Batch-friendly URL list
Replace the bundled review URLs with your own ASIN and pageNumber combinations, then let Loop Continue advance through each configured page.
Local desktop execution
The stock template writes the CSV to your configured folder and does not send exports through a hosted scraping actor unless you add that step yourself.
Built for review QA
The export keeps review_id, review_url, source_url, and scraped_at fields so analysts can spot-check rows before dashboarding or text analysis.
Who this is for
Marketplace sellers
Product research
Collect approved ASIN review samples, then group complaints, star ratings, verified purchase signals, and product variant feedback before changing listing copy or sourcing decisions.
Brand teams
Voice of customer
Export Amazon reviews into a spreadsheet for tagging defect reports, packaging feedback, delivery comments, quality issues, and sentiment trends.
Agencies
Competitive monitoring
Build repeatable CSV snapshots for client-approved products while keeping legal review, Amazon policy checks, and quote reuse decisions separate from collection.
For broader marketplace research, pair this workflow with the Amazon Product Scraper, Amazon Top Lists Scraper, and Best Buy Reviews Scraper. Browse the UScraper template library when you need product-listing, price, or search-result workflows around the review dataset.
How to use
Replace the review URLs
Edit the Navigate block with your amazon.com.mx product-reviews URLs. Keep ASIN and pageNumber values aligned so each page exports the expected product.
Confirm waits and export path
Keep the page-load wait, short pause, JavaScript completion wait, and row-exists check in place. Change the save folder for amazon-mexico-review-scraper.csv if needed.
Run the loop
UScraper follows Navigate -> Wait -> Sleep -> Normalize reviews -> Element Exists -> Structured Export, then Loop Continue advances to the next URL.
Audit the CSV
Spot-check review URLs, reviewer names, ratings, blank fields, duplicate review IDs, and blocked-page symptoms before using the export in dashboards or analysis tools.
Output preview
The export keeps one row per accessible review and repeats ASIN, page, source URL, and scrape timestamp fields for traceability. Dates are exported as Amazon displays them; date filtering is not automated inside the template, so filter the CSV after export when you need a reporting window.
| asin | page_number | reviewer_name | rating | review_title | review_date | verified_purchase | helpful_votes |
|---|---|---|---|---|---|---|---|
| B09B8V1LZ3 | 1 | Cliente Amazon | 5.0 de 5 estrellas | Buena calidad por el precio | Revisado en Mexico el 12 de mayo de 2026 | Compra verificada | A 3 personas les resulto util |
| B09B8V1LZ3 | 2 | M. Torres | 4.0 de 5 estrellas | Funciona bien, llego rapido | Revisado en Mexico el 28 de abril de 2026 | Compra verificada | |
| B08N5WRWNW | 3 | Comprador verificado | 3.0 de 5 estrellas | Correcto, pero esperaba mas | Revisado en Mexico el 9 de marzo de 2026 | Compra verificada | A una persona le resulto util |
amazon-mexico-review-scraper.csvColumn
asin
ASIN parsed from the current amazon.com.mx review URL.
Column
page_number
The review pageNumber parameter used for the current run.
Column
review_id
Amazon review row ID when available.
Column
reviewer_name
Reviewer display name from the review card.
Column
reviewer_profile_url
Profile link from the review row when Amazon exposes it.
Column
rating
Individual star-rating text from the review card.
Column
review_title
Review headline cleaned of duplicate icon text.
Column
review_date
Localized review date text as shown by Amazon.
Column
product_variant
Variant or format strip text when present.
Column
verified_purchase
Verified purchase badge text when present.
Column
review_body
Full review body text cleaned into one CSV cell.
Column
helpful_votes
Helpful vote statement from the review row.
Column
review_image_count
Count of visible review image tiles.
Column
review_url
Direct Amazon customer review URL built from the review ID.
Column
source_url
The review page URL that produced the row.
Column
scraped_at
ISO timestamp generated when the row is exported.
Amazon reviews may be publicly visible, but automated collection can still be restricted by Amazon terms, robots directives, copyright, privacy law, marketplace policies, and local regulations. Keep runs modest, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.
Before you run
Guardrails for reliable Amazon review exports
Amazon may throttle, challenge, or redirect automation
Use modest batches, avoid parallel runs against the same ASIN, and increase waits when pages load slowly. Do not try to bypass CAPTCHA, sign-in walls, robot checks, or access controls.
Review markup and AJAX responses can change
Empty exports, missing ratings, or broken review URLs usually mean Amazon returned a different page state or changed markup. Re-test the workflow before relying on scheduled review collection.
Review text can carry legal and privacy obligations
Treat the CSV as a research export. Review Amazon policies, robots directives, API alternatives, copyright rules, and applicable data protection law before republishing or reselling review data.
Download the template, install the local desktop app from UScraper download, and use this workflow when you need to export Amazon reviews from Amazon Mexico into a structured CSV for approved product research.
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