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socketify.py
Scrapy socketify.pyScrapy is recommended for developers, data scientists, and businesses that need to gather data from websites efficiently. It's particularly useful for projects involving data aggregation, market research, competitive analysis, and monitoring pricing changes across various platforms.
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Based on our record, Scrapy seems to be a lot more popular than socketify.py. While we know about 101 links to Scrapy, we've tracked only 2 mentions of socketify.py. 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.
Think about what a mature scraping project already contains. There is a schema that every item must validate against. There are field coverage thresholds, because a run where only 60% of products have prices is a failed run no matter what the exit code says. There are expected item counts, error rate ceilings, and finish reason checks. In the Scrapy world we even have a dedicated framework for all of this, and I... - Source: dev.to / 2 months ago
This guide walks through the full process using uv, a fast, modern Python toolchain that replaces pip, virtualenv, pip-tools, twine, and build with a single tool. We will write a reusable Scrapy download handler, structure it as a proper Python package, test it, and publish it to PyPI. - Source: dev.to / 3 months ago
In Scrapy, Zyte API integrates via the scrapy-zyte-api package:. - Source: dev.to / 3 months ago
Scrapy is the standard Python framework for web scraping. It handles crawling, scheduling, and data pipelines. rs-trafilatura plugs into Scrapy as an item pipeline โ your spider yields items with HTML, and the pipeline adds structured extraction results automatically. - Source: dev.to / 4 months ago
One might ask, what about Scrapy? I'll be honest: I don't really keep up with their updates. But I haven't heard about Zyte doing anything to bypass TLS fingerprinting. So out of the box Scrapy will also be blocked, but nothing is stopping you from using curl_cffi in your Scrapy Spider. - Source: dev.to / almost 2 years ago
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.
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.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
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.
Portia - An open-source visual scraping tool that lets you scrape the web without coding, built by Scrapy...
