Скачать или смотреть Scrape Amazon Products & Reviews in MINUTES Not Hours! (n8n & apify)

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🔗 Links Mentioned:
⚡️ n8n: https://n8n.partnerlinks.io/3jjpno892i74
🔥 Apify: https://www.apify.com?fpr=g1mcm
🛠️ Bright Data ($15 free credit): http://brightdata.com/?promo=alexfoll...
📊 AirTable: https://airtable.com/invite/r/MNMziweI

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Video Overview:
🚀 I Built an Automated Amazon Scraper That Tracks Products, Competitors & Reviews — Using Bright Data, Apify, and n8n, All Stored in Airtable. No manual copy-pasting, no browser extensions — just powerful, scalable scraping that runs in the background.

In this video, I’ll show you how to create a fully automated data pipeline that scrapes Amazon product details, seller info, and customer reviews using Bright Data and Apify, then stores it all neatly in Airtable using n8n.

You’ll learn how to extract everything from Buy Box insights to verified reviews — and build a scalable backend for product research, competitor tracking, or dropshipping.

Whether you’re a data analyst, eCommerce seller, or automation nerd, this is your complete walkthrough to building a low-cost, high-impact Amazon scraper.

Learn how to perform amazon data scraping using Bright Data and Appify. This tutorial shows you how to scrape amazon product data and extract amazon data automatically. Then, organize it all in Airtable for easy access and analysis, enabling better ecommerce strategies.

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🔍 What You’ll Learn:
• How to scrape Amazon product data using Bright Data
• How to extract verified Amazon reviews ($0.50 / 1,000) with Apify
• How to build a scalable scraper workflow inside n8n
• How to automate data storage into Airtable (no code)
• How to filter duplicates and enrich with seller info
• How to set up low-cost scraping at scale (0.0015¢ per product!)
• How to use this data for product research, price tracking, or eCommerce

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📌 Chapters:
0:00 – Scrape Amazon Automatically with Bright Data & Amplify
0:45 – Example Use Case: Extracting Data from Headphones URL
1:30 – Analyse Price, Buy Box Seller, and Competitors Instantly
3:00 – Extract Amazon Product Reviews Using Amplify
5:00 – Store Product Data in Airtable (Products Table Setup)
7:00 – Set Up Bright Data Scraper & Import the API Blueprint
9:00 – Handle Snapshot Data and Use Wait Module Efficiently
10:30 – Airtable Review Table: Store and Manage Extracted Reviews
12:30 – Filter Unique Reviews Using Merge Logic in n8n
14:00 – Add Review Data to Airtable with Ratings and Text
15:30 – Aggregate Data & Start Seller Info Extraction Flow
16:30 – Scrape Seller Information from Amazon with Bright Data
17:30 – Create Airtable Table for Seller Profiles & Link to Products
18:30 – Recap: Fully Automated Amazon Scraper in Action

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🔧 Tools Used:
• Bright Data for scraping Amazon product and seller data
• Apify for extracting Amazon product reviews
• n8n for no-code workflow automation and orchestration
• Airtable for structured data storage (products, reviews, sellers)
• HTTP modules + JSON logic for custom API integrations
• Optional: AI enrichment tools like Claude or Gemini for insights

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🔥 Why Watch?
• Stop manually copying Amazon product details
• Track Buy Box changes and competitor listings automatically
• Scrape verified customer reviews at scale (for pennies)
• Store structured product, review, and seller data in Airtable
• Build scalable scraping workflows with n8n (no code needed)
• Learn how to combine scraping, APIs, and data storage — fast

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