Search Results for "events"

A web scraping system aiming to simplify data extraction from the web. ferret has a declarative query language that makes it easy to focus on the data that you need to get. ferret has the ability to scrape JS rendered pages, handle all page events, and emulate user interactions. the ferret was designed as a library from the ground up. it can be easily embedded into any Go application. ferret helps you to focus on the data you need using an easy-to-learn declarative language. ferret uses Chrome/Chromium via Chrome Devtools Protocol to handle dynamically rendered web pages. ferret is extremely extensible, and creating custom functions and types is super easy. ferret allows users to focus on the data. ...

...Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. It supports advanced capabilities such as headless browser rendering, background crawling tasks, and configurable rules that control crawl depth or ignored paths. These capabilities make the project suitable for building search indexers, data extraction pipelines, & SEO analysis tools.

...It includes modules for dispatching events, for capturing native events, for custom event details, and for action flows. Because it is purely JavaScript (and uses HTML for test harnesses), it is suited for web browsers and front-end use. Although deprecated, it can still serve as a reference for how to architect event delegation and binding abstractions.

...It uses a Chrome headless environment to render web pages and observe behavior during the DOM rendering stage in order to capture as many accessible endpoints as possible. By monitoring the page lifecycle and interacting with web elements, the crawler automatically triggers JavaScript events and navigational actions that would normally occur during real user interaction. It also automatically fills and submits forms, helping discover hidden routes or parameters that might otherwise be missed by traditional crawlers. crawlergo includes a built-in URL de-duplication system that removes repeated or pseudo-static links while maintaining fast crawling speeds for large websites. crawlergo also analyzes page content to extract links and resources from multiple sources, including JavaScript files, comments, and configuration files.

...Abot follows a modular architecture that allows developers to customize nearly every stage of the crawl process by implementing or replacing core interfaces. Abot exposes an event-driven model that enables applications to react to crawling events such as page completion or crawl restrictions. It also provides configuration options that control crawling behavior including concurrency limits, crawl delays, and request parameters. Designed to be lightweight and dependency-free, Abot runs without requiring external services or databases, making it easy to integrate.

...Since it simplifies things DDS is not usable for all kinds of scrapers, but it is well suited for the relatively common case of regularly scraping a website with a list of updated items (e.g. news, events, etc.) and then dig into the detail page to scrape some more infos for each item. Django Dynamic Scraper tries to keep its data structure in the database as separated as possible from the models in your app, so it comes with its own Django model classes for defining scrapers, runtime information related to your scraper runs and classes.