The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
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WorkOS
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scaling-to-distributed-crawling reviews and mentions
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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.
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A note from our sponsor - WorkOS
workos.com | 29 Apr 2024
Stats
ZenRows/scaling-to-distributed-crawling is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of scaling-to-distributed-crawling is HTML.
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