
Amazon Product Reviews Scraper
Pricing
$25.00/month + usage

Amazon Product Reviews Scraper
Amazon Product Reviews Scraper extracts customer reviews from Amazon product pages. Provide product URLs and proxy settings (Apify Proxy), and retrieve structured JSON with profile name, review text, rating, and review date. Supports batch URL processing. Great for sentiment and market analysis
0.0 (0)
Pricing
$25.00/month + usage
0
Total users
16
Monthly users
10
Runs succeeded
>99%
Last modified
4 days ago
Amazon Product Reviews Scraper
Introduction
The Amazon Product Reviews Scraper is an Apify Actor that extracts customer reviews from Amazon product pages. Simply provide one or more Amazon product URLs along with proxy settings, and get back a structured JSON array of review details.
Input Parameters
Parameter | Type | Required | Description |
---|---|---|---|
proxyConfiguration | object | Yes | Proxy settings to avoid IP blocks and ensure reliable scraping. |
└─ useApifyProxy | boolean | Yes | Whether to route requests through Apify Proxy. |
└─ apifyProxyGroups | string[] | No | List of Apify Proxy groups to use (e.g., ["RESIDENTIAL"] ). |
└─ apifyProxyCountry | string | No | Preferred country for proxy exit node (e.g., "IN" ). |
urls | string[] | Yes | Array of Amazon product page URLs to scrape reviews from. |
Example Input
{"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "IN"},"urls": ["https://www.amazon.in/dp/B0C9M75XWR"]}
Features
- Apify Proxy Integration: Built‑in proxy support to bypass rate limits and geographic restrictions.
- Multi‑URL Processing: Scrape reviews from multiple Amazon products in one run.
- Structured JSON Output: Returns clean data fields for each review (profile, text, date, rating).
- Lightweight & Fast: Optimized for speed with retry logic on transient errors.
- Locale‑Aware Parsing: Captures review date strings as displayed (e.g., “Reviewed in India on …”).
Output
The Actor returns a JSON array where each element represents one review:
[{"profile_name": "Akanksha","profile_url": "/gp/profile/amzn1.account.AGRWTHMY75YXA754OBHTRELLE7BQ/ref=cm_cr_dp_d_gw_tr?ie=UTF8","review_text": "Low absorption, rough and scratchy, bulky, ill fitting productRead more","rating": null,"review_date": "Reviewed in India on 16 October 2024"},{"profile_name": "Gayathri","profile_url": "/gp/profile/amzn1.account.AHYGVBUEH2BYLSJJUUEZ4RNCSR3Q/ref=cm_cr_dp_d_gw_tr?ie=UTF8","review_text": "These diapers absorbs 9-10 pee at a time. Then it leaks. But it can be purchased and used for less time conception purpose.Read more","rating": null,"review_date": "Reviewed in India on 8 October 2024"}]
Possible Use Cases
- Sentiment Analysis on customer feedback for product improvements.
- Competitor Benchmarking by comparing review counts and sentiments across similar products.
- Quality Assurance to detect recurring issues or defects reported by users.
- Customer Support Automation by flagging negative reviews for immediate attention.
- Market Research to gauge regional preferences and review volume trends.
Support
For bug reports or custom needs, contact: 📧 support@getdataforme.com Or use our contact form: https://getdataforme.com/contact/