mechanized | Mechanized crawls a given URL
kandi X-RAY | mechanized Summary
kandi X-RAY | mechanized Summary
Requires Python 2.5+ and uses BeautifulSoup 3.2.1. Mechanized is a web crawler that downloads all images it comes across from a given URL. The Parse class takes a URL, turns the page into a BeautifulSoup object, and returns a list of all anchors and images. The Crawler class queues up unique URLs within the same base domain, instantiates a Parse object with these URLs, and manages the logic of adding or discarding all links and images.
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Top functions reviewed by kandi - BETA
- Add or discard links .
- Crawl process .
- Simple crawler .
- Return the base url .
- Download files from dir_link to filename
- Get the filename of an image .
- Return BeautifulSoup object .
- returns a list of all the hrefs
mechanized Key Features
mechanized Examples and Code Snippets
Community Discussions
Trending Discussions on mechanized
QUESTION
This is my first time using stack overflow so apologies if I do this wrong.
I'm fairly new to coding in R and I'm trying to make a simple Shiny app using a TidyTuesday dataset. I wanted to make a map with points showing the different types of water systems ("water_tech") and radio buttons to choose which type of water system is plotted on the map. I got the app to load without an error message, however no matter which button is selected, all of the different types of water systems are plotted on the map, not just the one I selected (essentially, the buttons don't work). If anyone has any ideas about what could be causing this to happen I would greatly appreciate it!
Reproducible code:
...ANSWER
Answered 2021-May-06 at 07:47rwater()
has no effect in this code:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mechanized
You can use mechanized 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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