scaling-to-distributed-crawling
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| scaling-to-distributed-crawling | Scrapy | |
|---|---|---|
| 5 | 180 | |
| 36 | 50,896 | |
| - | 1.2% | |
| 0.0 | 9.6 | |
| over 2 years ago | 8 days ago | |
| HTML | Python | |
| MIT 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.
scaling-to-distributed-crawling
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DOs and DON'Ts of Web Scraping
We published a repository and blog post about distributed crawling in Python. It is a bit more complicated than what we've seen so far. It uses external software (Celery for asynchronous task queue and Redis as the database).
- Mastering Web Scraping in Python: Scaling to Distributed Crawling - ZenRows
- Mastering Web Scraping in Python: Scaling to Distributed Crawling – ZenRows
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Mastering Web Scraping in Python: Scaling to Distributed Crawling
We will start to separate concepts before the project grows. We already have two files: tasks.py and main.py. We will create another two to host crawler-related functions (crawler.py) and database access (repo.py). Please look at the snippet below for the repo file, it is not complete, but you get the idea. There is a GitHub repository with the final content in case you want to check it.
Scrapy
- Scrapy: A Fast and Powerful Scraping and Web Crawling Framework
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Seven Python Projects to Elevate Your Coding Skills
BeautifulSoup4 Scrapy
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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.
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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
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Implementing case sensitive headers in Scrapy (not through `_caseMappings`)
Scrapy capitalizes headers for request
- Dicas para projetos usando web scraping
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Best tools to use for web scraping ??
Scrapy is a web scraping toolkit
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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?
celery - Distributed Task Queue (development branch)
requests-html - Pythonic HTML Parsing for Humans™
colly - Elegant Scraper and Crawler Framework for Golang
pyspider - A Powerful Spider(Web Crawler) System in Python.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
newspaper - newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
MechanicalSoup - A Python library for automating interaction with websites.
PeARS-orchard - This is the development version of PeARS, the people's search engine. More compact but less robust than PeARS-lite. If you just want to use PeARS as a local indexer, use PeARS-lite instead.
playwright-python - Python version of the Playwright testing and automation library.
storm-crawler - A scalable, mature and versatile web crawler based on Apache Storm
undetected-chromedriver - Custom Selenium Chromedriver | Zero-Config | Passes ALL bot mitigation systems (like Distil / Imperva/ Datadadome / CloudFlare IUAM)