colly
Scrapy
Our great sponsors
colly | Scrapy | |
---|---|---|
39 | 180 | |
22,120 | 50,824 | |
1.6% | 1.1% | |
6.0 | 9.6 | |
11 days ago | 1 day ago | |
Go | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
colly
-
Scraping the full snippet from Google search result
SerpApi focuses on scraping search results. That's why we need extra help to scrape individual sites. We'll use GoColly package.
-
Show HN: Flyscrape – A standalone and scriptable web scraper in Go
Interesting. Can you compare it to colly? [0]
Last time I looked it was the most popular choice for scraping in Go and I have some projects using it.
Is it similar? Does it have more/less features or is it more suited for a different use case? (Which one?)
- Colly: Elegant Scraper and Crawler Framework for Golang
-
New modern web crawling tool
Sounds cool, but how is this different from Colly: https://github.com/gocolly/colly?
-
colly VS scrapemate - a user suggested alternative
2 projects | 15 Apr 2023
-
Web Scraping in Python: Avoid Detection Like a Ninja
We could write some snippets mixing all these, but the best option in real life is to use a tool with it all, like Scrapy, pyspider, node-crawler (Node.js), or Colly (Go).
- Web scraping with Go
-
Web scraper help
Unless you're specifically trying to do it using net/http, I recommend using colly. I've used it in a few scrappers and I love it!
-
Web Scraping in Golang
In this blog, we will be covering the basics of web scraping in Go using the Fiber and Colly frameworks. Colly is an open-source web scraping framework written in Go. It provides a simple and flexible API for performing web scraping tasks, making it a popular choice among Go developers. Colly uses Go's concurrency features to efficiently handle multiple requests and extract data from websites. It offers a wide range of customization options, including the ability to set request headers, handle cookies, follow redirects, and more
-
Learn how to scrape Trustpilot reviews using Go
github.com/gocolly/colly - popular and widely-used library for web scraping in Go. It provides a higher-level API than net/http and makes it easier to extract information from websites. It also provides features such as concurrency, automatic request retries, and support for cookies and sessions.
Scrapy
- Scrapy: A Fast and Powerful Scraping and Web Crawling Framework
-
Seven Python Projects to Elevate Your Coding Skills
BeautifulSoup4 Scrapy
-
What is SERP? Meaning, Use Cases and Approaches
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.
-
Creating an advanced search engine with PostgreSQL
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 tools that work out of the box for every site you'll encounter.
Once you've written the spider, it's generally able to be rerun for updates unless the site code is dramatically altered. It really comes down to how brittle the spider is coded (i.e. hunting for specific heading sizes or fonts or something) instead of grabbing the underlying JSON/XHR that doesn't usually change frequently.
- Turning webpages into pdf
-
Implementing case sensitive headers in Scrapy (not through `_caseMappings`)
Scrapy capitalizes headers for request
- Dicas para projetos usando web scraping
-
Best tools to use for web scraping ??
Scrapy is a web scraping toolkit
-
What do .NET devs use for web scraping these days?
I know this might not be a good answer, as it's not .NET, but we use https://scrapy.org/ (Python).
- I'm using python to scrape web page content and extract keywords, how can I make it faster to process?
What are some alternatives?
GoQuery - A little like that j-thing, only in Go.
requests-html - Pythonic HTML Parsing for Humans™
xpath - XPath package for Golang, supports HTML, XML, JSON document query.
pyspider - A Powerful Spider(Web Crawler) System in Python.
rod - A Devtools driver for web automation and scraping
MechanicalSoup - A Python library for automating interaction with websites.
Geziyor - Geziyor, blazing fast web crawling & scraping framework for Go. Supports JS rendering.
playwright-python - Python version of the Playwright testing and automation library.
Ferret - Declarative web scraping
undetected-chromedriver - Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)
chromedp - A faster, simpler way to drive browsers supporting the Chrome DevTools Protocol.
pyppeteer - Headless chrome/chromium automation library (unofficial port of puppeteer)