Amazon · Customer feedback · Amazon · sellers
Amazon product reviews to CSV without coding
An Amazon seller can export public reviews for selected products to compare recurring packaging, fit and usability concerns in a spreadsheet. Complete email verification when asked. Review the sample and agree the scope; preparation may take time.
Free sample · Full export quoted for your scope · No subscription
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Read the GetMyData instructions at https://getmydata.io/skills/getmydata/SKILL.md?utm_source=seo&utm_medium=usecase&utm_campaign=amazon-product-reviews-to-csv. Help me with this task: Amazon product reviews to CSV without coding. Sources: [public URLs]. Region/language: [scope]. Date window: [dates]. Maximum rows: [number]. Requested fields: product_reference, variant, rating, review_date, review_text. Check product and variant references: reviews may be grouped across variations. Agree marketplace, dates and row count; do not treat review frequency as sales volume. First discuss feasibility with me; ask before submitting a request. Show a sample and missing fields before I confirm the scope and quote. I will review and pay myself. channel_id: seo-amazon-product-reviews-to-csv
Describe your needs in your AI assistant
Copy the request into a compatible AI assistant. Specify public sources, fields and the number of rows.
Review your free sample
Complete email verification when asked. Review the sample and agree the scope; preparation may take time.
Confirm, pay and receive the full data
Review the final quote and payment page yourself. The agreed full dataset is prepared after payment.
See the spreadsheet columns
| product_reference | variant | rating | review_date | review_text |
|---|---|---|---|---|
| SYN-ASIN-01 | 1.2 L / glass | 5 | 2026-09-02 | The lid seals well and the container fits upright in my work bag. |
| SYN-ASIN-01 | 1.2 L / glass | 3 | 2026-09-06 | Heavier than the plastic version; fine for the fridge but not for walking. |
| SYN-ASIN-02 | 800 ml / glass | 4 | 2026-09-10 | Easy to wash, though the seal takes a while to dry. |
| SYN-ASIN-02 | 800 ml / glass | 2 | 2026-09-13 | One corner arrived chipped. I requested a replacement rather than using it. |
| SYN-ASIN-03 | 2 × 1.2 L / glass | 5 | 2026-09-18 | The two-pack is useful for preparing lunches on Sunday. |
| SYN-ASIN-03 | 2 × 1.2 L / glass | 3 | 2026-09-23 | The product photos made the lids look interchangeable with my older set. |
| SYN-ASIN-01 | 1.2 L / glass | 4 | 2026-09-28 | Good seal after three weeks, but the clips are stiff for my hands. |
Simulated delivery example, not collected source data. Example records retain English source text and export field keys; dates, currencies and missing values are preserved.
The decision
An Amazon seller can export public reviews for selected products to compare recurring packaging, fit and usability concerns in a spreadsheet.
Check the sample
Check product and variant references: reviews may be grouped across variations. Agree marketplace, dates and row count; do not treat review frequency as sales volume.
Fields are proposed output keys. Availability and the final schema must be confirmed in the sample; missing values should remain empty, never invented.
Choose specific public URLs, a region or language, a date window and a maximum row count. Review source links and representative records before accepting the scope and fixed quote.
Frequently asked questions
What decision can this data support?
An Amazon seller can export public reviews for selected products to compare recurring packaging, fit and usability concerns in a spreadsheet.
What should I check before accepting the sample?
Check product and variant references: reviews may be grouped across variations. Agree marketplace, dates and row count; do not treat review frequency as sales volume.
How much does it cost?
Free sample · Full export quoted for your scope · No subscription
Does this include ongoing monitoring or analysis?
GetMyData collects the agreed data. Interpretation, matching and business decisions are subsequent work for you or your agent. This is a one-time snapshot, not continuous monitoring.
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