Noah Bennett leads the data engineering practice at ChocoData, the team behind Amazon Scraper API. Before ChocoData he ran Amazon-catalogue extraction at two price-intelligence vendors (one acquired, one still quietly printing money), and he's seen every extractor-breaking A/B layout Amazon has shipped since 2018.
He built ChocoData's current extraction pipeline from scratch in 2024 after the post-November review-lockdown reshape broke most third-party scrapers. The core principles he brought in - pay-per-success billing, country-matched residential IPs, and never ship an extractor change without a 100-ASIN regression suite - are why the production success rate sits at 97% today.
Noah writes about Amazon scraping the way he builds it: concrete code, real numbers, no cargo-culted "use a premium proxy and hope" advice. If a tutorial on this site shows a selector, it's one he's verified on a real product page in the last month. If a tutorial shows a cost number, it came off a real customer's invoice.
Off-platform Noah is a long-time Go and Python practitioner, an amateur chocolatier (hence ChocoData's bear mascot), and a perpetual lurker in the r/dataengineering community.
Articles by Noah
2026-05-15
Load Amazon Data Into Your Warehouse With dlt and Amazon Scraper API
A working dlt config to pipe Amazon product data into Postgres, BigQuery, Snowflake, or DuckDB. Full source, 30-line pipeline, runs on the free tier.
2026-04-30
Best Amazon Scrapers in 2026: Tested and Compared
Ten Amazon scrapers benchmarked: verified pricing per 1,000 requests, independent success rates, marketplace coverage, batch limits. Numbers from Proxyway 2025 and AIMultiple 2026.
2026-04-30
Best Proxies for Amazon Scraping in 2026 (Tested)
Datacenter proxies fail on Amazon at 60-70% rates. Residential and mobile proxies hit 90%+. Which providers actually work, what they cost, and how to integrate them.
2026-04-30
Is Scraping Amazon Legal? A 2026 Guide for Developers
Scraping publicly visible Amazon data is generally legal in the US, but Amazon ToS is a separate contract matter. What you can scrape, what you cannot, and how to stay defensible.
2026-04-30
How to Scrape Amazon Product Listings (Python Guide)
Scrape Amazon product listings with Python: working selectors for title, ASIN, price, ratings, bullet points, images, and variations. With anti-bot guidance and a managed API alternative.
2026-04-30
How to Scrape Amazon Search Results in 2026
Scrape Amazon search results with Python: working CSS selectors for organic vs sponsored positions, prices, ratings, ASINs, and how to handle pagination and zip-code targeting.
2026-04-23
How to Scrape Amazon Products in 2026 (Python + API Guide)
Scrape Amazon products with working Python code, durable CSS selectors, proxy guidance, and a managed API from $0.50 per 1,000 requests.
2026-04-21
Amazon ASIN vs EAN vs ISBN vs UPC Compared (2026)
ASIN, EAN, ISBN and UPC explained for Amazon sellers - what each identifier means, where they apply, how to get them, and which one Amazon requires.
2026-04-21
How to Bypass Amazon Captcha When Scraping in 2026
Amazon serves a "Robot Check" page when it suspects automation - with a 200 status code that silently breaks naive scripts. How to detect it, prevent it, and recover when it fires.
2026-04-21
How to Scrape Amazon Data into Google Sheets in 2026
IMPORTXML on Amazon breaks within hours. This guide ships a working Google Apps Script that calls a scraper API and updates your sheet on a trigger.
2026-04-21
How to Scrape Amazon Prices With Python in 2026
Scrape Amazon prices with Python - durable CSS selectors, a price tracker example, and how to handle Buy Box rotation, variants, and robot checks.
2026-04-21
How to Scrape Amazon Reviews With Python in 2026
Scrape Amazon reviews around the login wall: what still works, working CSS selectors, Python code, and when to switch to a managed API.
2026-04-21
Amazon ASIN: What Is an ASIN Number?
An Amazon ASIN is a 10-character alphanumeric code that uniquely identifies every product in the Amazon catalog. What they mean, how they differ from UPC/EAN/ISBN, and how to extract them at scale.