Amazon Scraper

Amazon Scraper — extract structured product, review, and bestseller data from Amazon via API. No proxies to manage, no parsers to maintain, no CAPTCHAs to solve.

Built on Pangolinfo's Amazon Scraper API. Free tier: 60 credits per month, reset monthly, no credit card required.

flowchart LR
    A["Your code<br/><small><code>requests.get()</code> → <code>resp.json()</code></small>"] -->|"one API call"| B["Pangolinfo API<br/><small>proxy rotation · anti-bot bypass · maintained parsers</small>"]
    B -->|"structured JSON"| C["Your app"]
    style A fill:#16213a,stroke:#4ade80,stroke-width:2px,color:#fff
    style B fill:#16213a,stroke:#4ade80,stroke-width:2px,color:#fff
    style C fill:#16213a,stroke:#4ade80,stroke-width:2px,color:#fff

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Free Amazon Scraper

You don't need to build your own scraper. Sign up free and start pulling real Amazon data in under two minutes:

1. Go to pangolinfo.com and click Start Free Trial — this creates your account at tool.pangolinfo.com.
2. Copy your API key from the dashboard.
3. Run the example below. The free tier (60 credits/month, no card required) is enough to test product, review, and bestseller endpoints end to end.

Quick Setup

Prerequisites

• Python 3.8+ and pip (for the Python examples), or Node.js 18+ (for the Node.js example)
• A free Pangolinfo API key (get one here)

Python

git clone https://github.com/Pangolin-spg/amazon-scraper.git
cd amazon-scraper
pip install -r requirements.txt
export PANGOLIN_API_KEY="your-api-key-here"

Node.js

git clone https://github.com/Pangolin-spg/amazon-scraper.git
cd amazon-scraper/examples/nodejs
export PANGOLIN_API_KEY="your-api-key-here"
# no dependencies needed — uses native fetch (Node 18+)

Never commit your API key to git. Keep it in an environment variable or a secrets manager.

How to Scrape Amazon Data

Product data

python examples/python/amazon_product.py

Returns structured JSON for any ASIN — title, price, rating, images, and more:

import os
import requests

API_KEY = os.environ["PANGOLIN_API_KEY"]

resp = requests.get(
    "https://api.pangolinfo.com/v1/amazon/product",
    headers={"Authorization": f"Bearer {API_KEY}"},
    params={
        "asin": "B0FQFB8FMG",          # Apple AirPods Pro 3
        "marketplace": "US",
        "fields": "title,price,rating,images",
    },
    timeout=60,
)
resp.raise_for_status()
product = resp.json()
print(product["title"], "|", product.get("price"), "|", product.get("rating"))

Review data

python examples/python/amazon_reviews.py

Pulls paginated reviews for an ASIN — text, star rating, date, verified-purchase flag:

# inside amazon_reviews.py — the only parameters you need:
params = {"asin": "B0FQFB8FMG", "max_pages": 1}

Node.js

node examples/nodejs/amazon_product.js

Same product lookup using native fetch — zero dependencies.

Bestsellers

GET https://api.pangolinfo.com/v1/amazon/bestsellers
Authorization: Bearer <API_KEY>

See the docs for the full parameter reference.

What Data You Get

Endpoint	Returns
/v1/amazon/product	Title, price, rating, review count, images, availability, and more per ASIN
/v1/amazon/reviews	Review text, star rating, date, verified-purchase flag, helpful votes — paginated
/v1/amazon/bestsellers	Category bestseller rankings

All responses are structured JSON. No HTML parsing on your side.

Why an API Beats DIY Scraping

• No proxy management. Amazon aggressively rate-limits datacenter IPs. The API routes every request through residential-grade infrastructure — you never touch a proxy.
• No anti-bot warfare. CAPTCHAs, JavaScript challenges, and fingerprinting are handled server-side. Your code just does GET and reads JSON.
• No broken parsers. Amazon changes its page layout regularly; every DIY XPath/CSS selector eventually rots. The API's parsers are maintained by the provider.
• Predictable cost. Per-request credit billing with a free tier (60 credits/month). A DIY scraper costs you proxy bills plus maintenance time — the math rarely wins.

FAQ

Is it free? Yes — the free tier gives you 60 credits per month, reset monthly, with no credit card required. That's enough to test the product, reviews, and bestseller endpoints and run small projects.

Do I need an Amazon account? No. The API reads publicly accessible Amazon pages. You only need a Pangolinfo API key — never Amazon credentials.

Which marketplaces are supported? Use the marketplace parameter (e.g. US, UK, DE, JP). Check the docs for the current list.

How is this different from scraping Amazon myself with Selenium/BeautifulSoup? DIY scraping works until Amazon blocks your IP, serves a CAPTCHA, or changes its markup — then you're debugging instead of building. This repo's examples call a maintained API, so the same three lines of code keep working.

Can I use this commercially? Yes, on any paid plan. See pangolinfo.com pricing for details.

Start Free

• Get a free API key — 60 credits/month, no card required
• Full API documentation

Related Projects

More ways to plug real-time Amazon data into your stack:

• Amazon Data MCP — 20-tool MCP server: let Claude, Cursor, and other AI agents call Amazon data mid-conversation.
• Amazon Scraper Skill — Skill-format integration for OpenClaw and agent IDEs.
• Amazon Scraper API — the REST API behind this repo: product, search, bestseller data.
• Amazon Review API — review-page extraction at scale (5 credits/page).
• Amazon Data MCP — the managed MCP server (same 20 tools, zero setup).
• Best Free Amazon Scraper APIs in 2026 (Tested) — hands-on test of 5 free tiers (Pangolinfo, Chocodata, ScraperAPI, Bright Data, APISerpent) with measured response times, field counts, and real free-tier terms.

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Built by Pangolinfo — real-time Amazon data for developers, AI agents, and ecommerce teams.