A powerful tool to extract, structure, and analyze Amazon product reviews at scale for research, insights, and automation.
Amazon Reviews Scraper lets you extract reviews (rating, title, body, author, verified status, helpful votes, review date) into structured CSV/JSON.
It’s designed for analytics, sentiment analysis, product research, and competitor benchmarking.
- Introduction
- Overview
- Amazon Reviews Scraper
- Features
- Why This Matters
- Architecture
- Workflow
- Roadmap
- Python Code Example
- FAQ
- License
- Contact Us
Amazon reviews drive trust and sales decisions. Yet, accessing and analyzing them at scale is hard due to pagination, dynamic content, and unstructured formats.
This scraper automates the process to deliver clean, analyzable review datasets.
| # | Feature | What It Does | Why It Matters |
|---|---|---|---|
| 1 | Search-based Review Capture | Scrape reviews by ASIN or direct product URL. | Target exactly the products you need. |
| 2 | Rich Review Schema | Extracts rating, title, body, author, verified purchase, helpful votes, etc. | Structured data for reliable analytics. |
| 3 | CSV/JSON Export | Save reviews in multiple formats. | Easy integration with BI tools or code. |
| 4 | Pagination Handling | Iterates through multiple review pages. | Scales beyond the first page of reviews. |
| 5 | Dedupe Helper | Removes duplicates by review_id. | Keeps datasets clean and accurate. |
| 6 | Sentiment Enrichment (Optional) | Tags reviews with sentiment/keywords. | Adds instant value for research pipelines. |
| 7 | Flexible Configurations | Control review count, keywords, regions. | Customizable scraping to your project needs. |
| 8 | White-Hat Positioning | No CAPTCHA/anti-bot bypass included. | Keeps repo safe and professional. |
- Amazon reviews influence buyer trust and conversion rates.
- Competitors and researchers need large volumes of reviews for trend analysis and benchmarking.
- Manual review gathering is inefficient.
- This scraper solves the bottleneck by offering structured, automated, and scalable review collection.
High-Level Flow:
- Chrome automation opens product review pages.
- Collector extracts review data into structured schema.
- Validator ensures required fields (rating, title, date, etc.).
- Writers export to CSV/JSON.
- Optional enrichment adds sentiment/keywords.
Steps:
- Input ASIN or product URL.
- Open "All Reviews" section.
- Iterate pages and extract fields.
- Normalize into schema.
- Export CSV/JSON.
- Optionally run dedupe & enrichment.
- Add dashboard for managing scraping tasks
- Multi-language support (EN, ES, DE, FR)
- Cloud deploy templates (Docker + CI)
- Enrichment plugins (keyword cloud, sentiment graphs)
- Parallel scraping with proxy pools
from pathlib import Path
import csv, json
rows = [
{
"asin": "B08N5WRWNW",
"product_title": "Echo Dot (4th Gen)",
"locale": "US",
"rating": 4.0,
"title": "Great sound for size",
"body": "Surprisingly good bass for such a small speaker.",
"author": "Jane D.",
"verified_purchase": True,
"helpful_count": 23,
"review_date": "2025-08-01",
"review_id": "R3A1BCXYZ",
"review_url": "https://www.amazon.com/review/R3A1BCXYZ",
"product_url": "https://www.amazon.com/dp/B08N5WRWNW"
}
]
csv_path = Path("sample.csv")
with csv_path.open("w", newline="", encoding="utf-8") as f:
writer = csv.DictWriter(f, fieldnames=rows[0].keys())
writer.writeheader()
writer.writerows(rows)
json_path = Path("sample.json")
json_path.write_text(json.dumps(rows, indent=2), encoding="utf-8")
print("Wrote sample.csv and sample.json")Q: Does this repo bypass CAPTCHAs or Amazon bot checks?
A: No. This is a white-hat showcase and does not include anti-bot/CAPTCHA bypass.
Q: What formats are supported?
A: CSV and JSON by default.
Q: Can I target different locales/regions?
A: Yes — configure proxies/locale as needed.
Q: How scalable is it?
A: Designed for pagination and batching; throughput depends on infra, proxies, and rate limits.
Q: Can I enrich the data further?
A: Yes — plug in your own sentiment/keyword models; a simple enrichment path is documented.
MIT License © BitBash
Questions? Need a custom scraper or integrations?
