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SearchApi Google Shopping API

Hacker News

SearchApi Google Shopping API

Hey HN, I'm excited to share SearchApi, a Google Shopping API designed to scrape a wide range of data, including product details, prices, merchant ratings, shopping ads, and more. Key features of SearchApi include: Google Product: Access detailed information about products listed on Google Shopping. Google Product Offers: Get up-to-date information on offers and pricing from different merchants. Specifications: Extract detailed specifications for products to help users make informed decisions. Reviews: Scrape reviews to understand customer sentiment and product quality. SearchApi can be a valuable asset for anyone looking to analyze or monitor the e-commerce landscape, especially those involved in price comparison or market research.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
87%87% 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 · Strong signals: google, user · Missing: mac, agents, macos
83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, ide · Missing: https docs, just released, exist
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: reviews, users · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, users · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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