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I scraped 10M Shopify products to build an API

Hacker News

I scraped 10M Shopify products to build an API

Hi HN! I'm Param, founder of Agora. The Agora API enables developers to search, purchase, and track orders for 10 million products sold on 25,000 Shopify and WooCommerce stores. You can search by text, image, URL, or location to find products. Every Shopify store has several public JSON files that are available on the same URL route. The file for general store information appears at [Base URL]/meta.json. Product information appears at [Base URL]/products.json. Variant and inventory information appears at [Base URL]/[Product Route].js. Every WooCommerce store has a similar file that has a different data structure. The store information appears at [Base URL]/wp-json/. Product information appears at [Base URL]/wp-json/wc/v1/products. I bought a list of e-commerce stores and built a crawler to index the store and product information. The crawler runs every day to add, edit, and delete product information for all stores. When you retrieve product details via the API, we dynamically check the price, stock, and variant information. This ensures that we only sell products that are currently available, at the real-time price. We're starting with 25,000 Shopify and WooCommerce stores and will soon have products from other e-commerce platforms and marketplaces including Amazon, Walmart, Etsy, Wix, Squarespace, and more. I'd love your feedback!

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Indie HackersFits the IH revenue-focused audience · Strong signals: para, including · Missing: supports, reddit linkedin, podcasting
91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 000, io, including · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon · Missing: plus, intuitive, reviews
17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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