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What are the crawler frameworks for python? Let me introduce to you the top ten frameworks of commonly used Python crawlers:
1. Scrapy
The Scrapy framework is a relatively mature set of Python The crawler framework is a fast, high-level information crawling framework developed using Python, which can efficiently crawl web pages and extract structured data.
Scrapy has a wide range of applications, including crawler development, data mining, data monitoring, automated testing, etc.
2. PySpider
is a powerful web crawler framework written by Chinese people in python. The main features are as follows:
1. Powerful WebUI, including: script editor, task monitor, project manager and result viewer;
2. Multi-database support, including: MySQL, MongoDB, Redis, SQLite, Elasticsearch; PostgreSQL with SQLAlchemy, etc.;
3. Use RabbitMQ, Beanstalk, Redis and Kombu as message queues;
4. Support task priority setting, scheduled tasks, retry after failure, etc. ;
5. Support distributed crawlers
3. Crawley
High-speed crawling of the content of the corresponding website, supports relational and non-relational databases, and the data can be exported as JSON, XML, etc.
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4. Portia
Visual crawling Get web content
5.newspaper
Extract news, articles and content analysis
6.python-goose
7. Beautiful Soup
8. mechanize
Advantages: JS can be loaded. Cons: Documentation is severely lacking. However, through official examples and methods tried with human flesh, it is still barely usable.
9. Selenium
10. cola
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