web_crawler | web crawlers written on python | Crawler library
kandi X-RAY | web_crawler Summary
kandi X-RAY | web_crawler Summary
web crawlers written on python.
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QUESTION
Similar questions exist on Stack Overflow. I have read such questions and they have not resolved my problem. The simple code below results in a File Not Found Error. I am running Python 3.9.1 on Mac OS X 11.4
Can anyone suggest next steps for troubleshooting the cause of this?
...ANSWER
Answered 2021-Nov-15 at 03:21**sometimes the compiler can't find any path like that you insert in open() function. at that time as possible you can save by default in the folder where your programs were saved by IDE. the followed syntax may be helpful for you **
QUESTION
I'm using requests with lxml to grab some content from my website, but sometimes it doesn't return the elements it should. I just tried it on a Wikipedia page and 20% of the time, it doesn't work, here is the code to reproduce the "bug" :
...ANSWER
Answered 2021-Feb-23 at 14:49thanks to @jackFeeting comment, I updated lxml and my code worked just fine.
pip3 install --upgrade lxml
updated from version 4.4.1
to 4.6.2
QUESTION
I'm looking at donne martin's design for a web crawler. the crawler service processes a newly crawled url, and then:
- Adds a job to the Reverse Index Service queue to generate a reverse index
- Adds a job to the Document Service queue to generate a static title and snippet
what would happen if instead the crawler service would synchronously call these 2 services? I would still be able to horizontally scale all 3 services according to the load on each, right? what came to me as a possible reason is just more complex flow control if one of them fails. are there other more compelling reasons for these async jobs?
...ANSWER
Answered 2020-Apr-10 at 03:01There are likely more reasons behind this design choice, but one is almost certainly use of Microservices. It is a popular technique, so demonstrating command of it is a good idea for answering design questions and benefits of it are well described on Wikipedia:
- Modularity: This makes the application easier to understand, develop, test, and become more resilient to architecture erosion.[6] This benefit is often argued in comparison to the complexity of monolithic architectures.[33]
- Scalability: Since microservices are implemented and deployed independently of each other, i.e. they run within independent processes, they can be monitored and scaled independently.[34]
- Integration of heterogeneous and legacy systems: microservices is considered as a viable mean for modernizing existing monolithic software application.[35][36] There are experience reports of several companies who have successfully replaced (parts of) their existing software by microservices, or are in the process of doing so.[37] The process for Software modernization of legacy applications is done using an incremental approach.[38]
- Distributed development: it parallelizes development by enabling small autonomous teams to develop, deploy and scale their respective services independently.[39] It also allows the architecture of an individual service to emerge through continuous refactoring.[40] Microservice-based architectures facilitate continuous integration, continuous delivery and deployment.[41] [42]
All of those apply in this case. Indeed, well-defined API makes the modules separate, reusable, easy to understand. Most likely each of the 3 modules will have very different execution time and CPU/memory requirements, so scaling them separately makes a lot of sense. Some companies like Amazon mentioned on the page might go much further splitting those modules into microservices based on the team number, so this split into 3 services can very well be chosen based on the assumption of having 3 teams, rather than technical constraints.
The page also describes criticism of the technique.
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Install web_crawler
You can use web_crawler like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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