SerpApi
Apify
ScrapingBee
tavily
DataForSEO
SearchApi.io
Zenserp
Bright Data
RepDB
We help you automate gathering data from search engines like Google, Bing, or Yahoo. What's cool about SerpApi is that it handles all the scraping complexities for you, like dealing with CAPTCHAs, managing IP addresses, and parsing data into a structured JSON. So you don't have to worry about the details.
It's super useful for developers who need to pull search results for tasks like SEO monitoring, market research, travel information, AI models, or even academic projects. Plus, it provides the data in a neat JSON format, making it really easy to use in your applications!
RepDB is a one-time-purchase exercise dataset for developers building fitness and workout apps โ not a subscription, not a rate-limited API. You download the data once and own it: JSON (and SQLite on the higher tier), WebP images, and full EN/DE/ES translations, with no per-request billing and no dependency on our servers staying up.
A free tier includes 400 exercises with flat-style 512ร512 images, attribution-licensed for commercial in-app use. The Starter tier ($199) adds the full catalog in classic white-background style. Standard ($399) adds transparent 1024px images, looping animations, exercise relations (similar/progressions/regressions), workout templates, and embeddings โ exclusive to that tier.
Every exercise includes muscle-group highlighting, equipment/muscle icons, MET values, and safety/goal tags. Compared to GIF- or JPG-based competitor APIs, RepDB images are transparent WebP with no watermarks, so they drop into any app UI without a white box around them.
SerpApi RepDBSerpApi's answer
We provide more search engines under one subscription.
RepDB's answer:
Most alternatives are subscription APIs โ you pay monthly, you're capped on requests, and ExerciseDB's terms of use explicitly forbid caching or storing the data at all, so every image render is a live paid API call. RepDB is the opposite: pay once, download the files, self-host with zero ongoing dependency. It's also the only option offering true DE/ES localization and transparent images instead of a white box behind every exercise.
SerpApi's answer
Developers/Companies who need data from search engines.
RepDB's answer:
Solo developers and small teams building fitness or workout-tracking apps (iOS, Android, web) who need licensed exercise images and structured exercise data, but don't want to build their own media pipeline or depend on a rate-limited third-party API.
SerpApi's answer
Ruby on Rails and MongoDB
SerpApi's answer
We're the first web scraping company that focus on scraping search engines.
RepDB's answer:
RepDB is sold as a one-time download, not a metered API โ you own the JSON/SQLite data and WebP images outright, with no rate limits, no per-request billing, and no risk of the vendor cutting off access. It's also the only dataset in this space with EN/DE/ES translations, transparent (alpha-channel) images with no watermark, muscle-group highlighting, safety/goal tags, and looping animations on the higher tier.
SerpApi's answer
Back in 2017, Julien Khaleghy, the founder of SerpApi, built an iOS app that can analyze data from a picture. iOS didn't have a proper machine learning framework back then. It was challenging: iPhones' RAM were limited, no GPU or no dedicated chip acceleration were available, using only CPU was painfully slow, and compiling/porting C code from machine learning framework like Tensorflow or Caffe to iOS wasn't straightforward. Oddly, all of this wasn't the most difficult part of this project. Collecting images from Google Images was.
In these projects, 80% of his time ended up being spent on scraping and parsing Google Images. And maybe only 20% on actual machine learning model training, UI design of the actual apps, and iOS programming. This is how SerpApi was born.
RepDB's answer:
RepDB grew out of a consumer workout app its creator was building solo. Sourcing exercise images and data meant either paying for a subscription API with usage caps and no caching rights, or producing everything from scratch. The illustrated, multi-language dataset was built for us first, then split out as its own product once it became clear other indie developers had the same problem and preferred to buy the data outright rather than rent it through an API.
SerpApi's answer
Based on our record, SerpApi seems to be more popular. It has been mentiond 92 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Real-world note: For production, integrate with SerpAPI, Brave Search API, or Tavily. The structure stays the same. - Source: dev.to / about 1 month ago
And here's the code for SearchGoogleShopping that works with Google Shopping using SerpApi:. - Source: dev.to / 4 months ago
I work at SerpApi [0], and we offer a free tier that may serve your needs if you're just looking to do programmatic searches periodically. Much of the reason people go with a service like ours is because of the difficulty with rolling your own reliable solution. Happy to answer any questions you might have as well! [0]: https://serpapi.com/. - Source: Hacker News / 4 months ago
The Nemofinder is open source and available on GitHub. You need to add a SerpAPI key or change the API to one that you have access to. You need to set up a DigitalOcean GPU droplet with Nemotron 3. Next, you need to update the Nemotron 3 calls to use your deployment's IP address. Feel free to clone, change, and use the application as you'd like. - Source: dev.to / 4 months ago
SerpApi | https://serpapi.com | Junior to Senior Fullstack Engineer multiple positions | Customer Success Engineer | Hiring Coordinator | Python/Ruby/PHP/Js/Rust/Cotlin/C#/Crystal/Nim/Elixir Developer Advocate positions | Based in Austin, TX but remote-first structure | Full-time | ONSITE or FULLY REMOTE | $150K - 180K a year 1099 for US or local avg + 20% for outside the US SerpApi is the leading API to scrape... - Source: Hacker News / 6 months ago
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