The New York Times might be a bit more popular than Scrapy. We know about 123 links to it since March 2021 and only 95 links to Scrapy. 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.
I wonder if you could construct a hash collision for high pagerank sites in the google (or Bing) index. You would need to know what hash algorithm google uses to store URLs. This is assuming that they hash the URLs for their indexing. Which surely they do. MD5 and SHA1 existed when google was founded, but hash collisions weren't a big concern until later IIRC. You'd want a fast algorithm because you're having to... - Source: Hacker News / 5 months ago
If we (the library) want to provide access to something like the nytimes.com or economist.com websites, what we can do is essentially bulk purchase, at some discount, subscriptions that can be claimed by our users. While this may work for a university campus, it doesn't scale well for a public library for both budgetary and logistical reasons. Source: 7 months ago
I tried to link my friends a NYTimes article but it tells me "www.nytimes.com is blocked. nytimes.com refused to connect. ERR_BLOCKED_BY_RESPONSE" and then automatically tries to load a .onion link in a tor window. Source: 8 months ago
Hello! My goal is to be able to automate tab-closing in Safari. I have hundreds of tab groups in Safari and many contain web pages that I no longer need. It would take me days to organize and manually go through them to close them. For example. I would love to close any tab that contains "gmail.com" or "nytimes.com" etc. Source: 11 months ago
It's lazy to know that the NYT writes an article and google search that article. Go to the browser and type nytimes.com. Source: about 1 year ago
Using Scrapy I fetched the data needed (activities and attendance). Scrapy handled authentication using a form request in a very simple way:. - Source: dev.to / 19 days ago
Scrapy is an open-source Python-based web scraping framework that extracts data from websites. With Scrapy, you create spiders, which are autonomous scripts to download and process web content. The limitation of Scrapy is that it does not work very well with JavaScript rendered websites, as it was designed for static HTML pages. We will do a comparison later in the article about this. - Source: dev.to / about 2 months ago
While there is no specific library for SERP, there are some web scraping libraries that can do the Google Search Page Ranking. One of them which is quite famous is Scrapy - It is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It offers rich developer community support and has been used by more than 50+ projects. - Source: dev.to / 7 months ago
If you're looking for a turn-key solution, I'd have to dig a little. I generally write a scraper in python that dumps into a database or flat file (depending on number of records I'm hunting). Scraping is a separate subject, but once you write one you can generally reuse relevant portions for many others. If you can get adept at a scraping framework like Scrapy you can do it fairly quickly, but there aren't many... - Source: Hacker News / 12 months ago
I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python). Source: about 1 year ago
Slackbot Workout - A slackbot to get your team in shape
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
CNN - View the latest news and breaking news today for U.S., world, weather, entertainment, politics and health at CNN.com.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
News as Facts - Verified Factual News from Media Bias Fact Check
Scraper API - Easily build scalable web scrapers