Search Results for "data structure"

Gain is a Python web crawling framework designed to simplify the process of building efficient and scalable web scrapers. It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. Developers define crawlers using components such as spiders, parsers, and...

...Developers can use the software either as a standalone command line application or integrate it into their own Python applications through its library interface. Extracted article data can be stored in different formats and systems, including JSON files or database-backed storage solutions.

python-fxxk-spider is a curated collection of Python web scraping and crawler projects gathered in a single repository for reference and learning. It aggregates many independent scraping examples that target a wide range of websites, online services, and public data sources. Instead of being a single crawler tool, it functions as a catalog of ready-made Python spider implementations that demonstrate different scraping techniques. python-fxxk-spider includes scrapers for social media, e-commerce platforms, job listings, music services, video platforms, and various content sites. Because websites frequently change their structure, some included projects may require adjustments before they can run successfully. ...

Supports strings, arrays, arrays of objects, and nested object structures. The schema is not tied to the structure of the page you're scraping, allowing you to pull the data in the structure of your choosing. The API is entirely composable, giving you great flexibility in how you scrape each page. Paginate through websites, scraping each page. X-ray also supports a request delay and a pagination limit. Scraped pages can be streamed to a file, so if there's an error on one page, you won't lose what you've already scraped. ...

...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.

PHP web API designed to simplify object handling(loading, saving, querying, displaying, and editing), abstract the data from its display structure, and layout and allow the target data to be delivered to any supported format without special logic.