Apify
import.io
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Bright Data
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Scrapy
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Sinatra
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Spring Framework
Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results locally or in the cloud, rotate proxies and much more.
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Based on our record, Apify should be more popular than Spark Framework. It has been mentiond 44 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.
Data collection: Apify actors, one per source, that scrape the open-data endpoints and normalize them. Quebec RBQ ships a daily bulk CSV (inside a 10.8 MB zip, ~924k rows that dedupe to ~54k active licences). Ontario HCRA has no bulk file โ it's an internal JSON API behind the public registry. - Source: dev.to / 9 days ago
Create a free Apify account and grab your API token from Settings โ API & Integrations. - Source: dev.to / 18 days ago
BYOK. It runs on your own Apify token. No shared keys, no lock-in, no licensing chokepoint โ a lesson the whole "Proxycurl shut down and stranded everyone" saga taught the space. - Source: dev.to / about 1 month ago
You need apify-client installed (pip install apify-client pandas scikit-learn). Get a free Apify API token at apify.com โ no card required, every account starts with $5 of credit. - Source: dev.to / about 2 months ago
A free Apify account (for the API token). - Source: dev.to / about 2 months ago
The code for serving queries is found in the WebSearch class. Weโre using Spark (the web framework, not the big data engine) to serve a simple search form:. - Source: dev.to / about 2 years ago
Get a solid grasp of building web applications with Java either using Spring (using Spring Boot) or Spark (if you're also new to Java learning Java and Spring can be a mouthful). Instead of JSP use something Thymeleaf or build the frontend with HTML and JavaScript (and serve the bundles). Source: over 2 years ago
So most of the "tech" stack goes out. In our first startup we created our own web-container by using https://sparkjava.com - and then built a JSR-223 scripting support. Source: over 2 years ago
Stack: Java, Spark (not the Apache Spark but this), Kafka, several other libraries like FasterXML's Jackson. Source: about 3 years ago
The blog is just hugo so it's 100% static files over nginx. The search engine is serverside-rendered mustache templates via handlebars[1], via served via spark[2]. It's basically all vanilla Java. I do raw SQL queries instead of ORM, which makes it quite a bit snappier than most Java applications. The sheer size of the database also mandates that basically every query is a primary key lookup. The code is written... - Source: Hacker News / about 3 years ago
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Javalin - Simple REST APIs for Java and Kotlin
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
Sinatra - Classy web-development dressed in a DSL
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
vert.x - From Wikipedia, the free encyclopedia
