Build an Amazon Product Scraper with AI; full crawler + scraper code generated automatically using the ScrapeOps AI Scraper Builder Claude Code Plugin.
In this tutorial, we show how we use ScrapeOps to generate an Amazon crawler and product page scraper from scratch. The workflow creates Python code that crawls Amazon search results, collects product URLs, scrapes product details like prices, images, reviews, and saves the results into JSON files.
We'll install the ScrapeOps Claude Code Plugin, configure our ScrapeOps API key, generate an Amazon crawler and scraper, then run the full workflow locally.
🔗 GitHub Repository:
https://github.com/ScrapeOps/scrapeop...
🔑 Get your free ScrapeOps API key:
https://scrapeops.io/app/register/beta
What You'll Learn
00:00 — Introduction: Building an Amazon crawler with ScrapeOps
00:19 — Preview of the generated Amazon crawler and scraper
00:40 — Reviewing the generated README and output files
00:47 — Crawling Amazon search results and saving product URLs
01:02 — Scraping Amazon product details into JSON
01:14 — Building the Amazon scraper from scratch
01:20 — Installing the ScrapeOps Claude Code Plugin
01:34 — Cloning the GitHub repository
01:56 — Running the setup script
02:09 — Installing agents, skills, and MCP server
02:27 — Running ScrapeOps setup in Claude Code
02:40 — Getting your ScrapeOps API key
03:22 — Starting a new Claude Code scraper generation session
03:31 — Asking AI to build an Amazon crawler and page scraper
03:45 — Choosing the Amazon search query
04:02 — Selecting the programming language
04:11 — Choosing crawl depth and scraper library
04:20 — Generating the scraper with BeautifulSoup
04:40 — Reviewing the generated project files
04:55 — Activating the environment and exporting the API key
05:10 — Running crawler-only, scraper-only, or full-flow commands
05:23 — Executing the full Amazon crawler + scraper workflow
05:31 — Viewing the final URLs and product detail JSON output
05:46 — Final thoughts
About ScrapeOps AI Scraper Builder
ScrapeOps AI Scraper Builder helps developers generate and fix production-ready web scrapers directly inside Claude Code.
With the ScrapeOps Claude Code Plugin, we can:
✅ Generate scrapers from URLs
✅ Build crawler + scraper workflows
✅ Fix broken scrapers automatically
✅ Generate Python, JavaScript, PHP, Ruby, Go, Rust, Java, and C# scrapers
✅ Use libraries like BeautifulSoup, Playwright, Selenium, Cheerio, Puppeteer, and more
✅ Save generated code, HTML test files, and JSON output locally
In this video, we use the `/generate-crawler-scraper` workflow to build an Amazon crawler that finds product URLs and a product scraper that extracts detailed product data.
Useful Links
GitHub:
https://github.com/ScrapeOps/scrapeop...
Get a free ScrapeOps API key:
https://scrapeops.io/app/register/beta
ScrapeOps Docs:
https://scrapeops.io/docs/ai-scraper-...
Commands Used
Clone the repository:
```bash
git clone https://github.com/ScrapeOps/scrapeop...
cd scrapeops-scraping-assistant-claude-plugin
```
Run setup:
```bash
./setup.sh
```
Configure ScrapeOps:
```bash
/scrapeops-setup
```
Generate a crawler + scraper:
```bash
/generate-crawler-scraper
```
Who This Is For
This tutorial is useful if you want to:
Scrape Amazon product data
Generate scraper code with AI
Build crawler and scraper workflows faster
Use Claude Code for web scraping automation
Create JSON datasets from product pages
Avoid writing scraper boilerplate manually
If you found this useful, subscribe for more ScrapeOps tutorials on AI scraper generation, web scraping automation, crawler development, and fixing broken scrapers.
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