Hiredis
Scrapy
Our great sponsors
| Hiredis | Scrapy | |
|---|---|---|
| 2 | 180 | |
| 6,092 | 50,896 | |
| 1.0% | 1.2% | |
| 6.4 | 9.6 | |
| 19 days ago | 6 days ago | |
| C | Python | |
| BSD 3-clause "New" or "Revised" License | 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.
Hiredis
-
Konohagakure Search
hiredis
-
Exploring Redis I
(Optional) A redis client in a programming language of your preference, I've used in Python, aioredis, in Go go-redis/redis and in C hiredis. The best documentation is with the Python guys, in my opinion of course, but the three of them are pretty straightforward, with many examples on their source code. Looking at the test folder, could also give you an idea of how to use the library.
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.
1. https://scrapy.org
- 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?
cpp_redis
requests-html - Pythonic HTML Parsing for Humans™
Redis - Redis Go client
pyspider - A Powerful Spider(Web Crawler) System in Python.
redis3m - A C++ Redis client
colly - Elegant Scraper and Crawler Framework for Golang
django-redis - Full featured redis cache backend for Django.
MechanicalSoup - A Python library for automating interaction with websites.
LMDB - Read-only mirror of official repo on openldap.org. Issues and pull requests here are ignored. Use OpenLDAP ITS for issues.
playwright-python - Python version of the Playwright testing and automation library.
libmdbx - One of the fastest embeddable key-value ACID database without WAL. libmdbx surpasses the legendary LMDB in terms of reliability, features and performance.
undetected-chromedriver - Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)