Apache Kafka
StatCounter
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SearchApi.io
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Bright Data
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!
Apache Kafka SerpApiSerpApi's answer:
We provide more search engines under one subscription.
SerpApi's answer:
Developers/Companies who need data from search engines.
SerpApi's answer:
Ruby on Rails and MongoDB
SerpApi's answer:
We're the first web scraping company that focus on scraping search engines.
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.
SerpApi's answer:
Based on our record, Apache Kafka should be more popular than SerpApi. It has been mentiond 155 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.
Kafka is a distributed streaming platform used to build real-time data pipelines and streaming applications. It allows producers to send messages to topics, which are then consumed by various consumers, making it ideal for event-driven architectures. - Source: dev.to / 2 months ago
Apache Kafka is the most widely used distributed event streaming platform and the standard transport layer for event-driven reconciliation architectures. - Source: dev.to / 3 months ago
For message-queue-based pipelines: RabbitMQ has native DLQ support through dead letter exchanges. Messages that exceed their retry count or their time-to-live are automatically routed to a designated DLQ exchange. Apache Kafka does not have native DLQ semantics, but the standard pattern is to write failed records to a dedicated topic (-dlq by convention) and include the failure metadata in the record headers. - Source: dev.to / 3 months ago
Upsert with timestamp tracking. Keep the upsert approach but track which time windows have been fully processed. On retry, skip windows that are marked complete and reprocess only windows that failed mid-run. The Kafka documentation covers offset management patterns that implement this for stream-based pipelines. - Source: dev.to / 3 months ago
Apache Kafka allows the payment service to publish a transaction event to a topic, without knowing who will consume it. The fraud service, the notification service, and any other interested component can subscribe to that topic independently:. - Source: dev.to / 3 months ago
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 / 5 months ago
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Histats - Start tracking your visitors in 1 minute!
ScrapingBee - ScrapingBee is a Web Scraping API that handles proxies and Headless browser for you, so you can focus on extracting the data you want, and nothing else.
AFSAnalytics - AFSAnalytics.
tavily - Autonomous agent designed for comprehensive online research
