event-collect | event website listing to Open Event format scraper | Scraper library
kandi X-RAY | event-collect Summary
kandi X-RAY | event-collect Summary
event-collect is a Python library typically used in Automation, Scraper applications. event-collect has no bugs, it has no vulnerabilities, it has build file available and it has medium support. You can download it from GitHub.
event website listing to Open Event format scraper and converter
event website listing to Open Event format scraper and converter
Support
Quality
Security
License
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Support
event-collect has a medium active ecosystem.
It has 1510 star(s) with 27 fork(s). There are 14 watchers for this library.
It had no major release in the last 6 months.
event-collect has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of event-collect is current.
Quality
event-collect has 0 bugs and 0 code smells.
Security
event-collect has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
event-collect code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
event-collect does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
event-collect releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
It has 215 lines of code, 20 functions and 3 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed event-collect and discovered the below as its top functions. This is intended to give you an instant insight into event-collect implemented functionality, and help decide if they suit your requirements.
- Collect search results
- Create JSON data from OpenEvent
- Add the home page
- Write data to a JSON file
- Add empty data
- Add the organizer
- Get a list of events that match the query
- Get a BeautifulSoup object
- Add the background image
- Get the search results data for a query
- Add location to data
- Extract event dates from data
- Add information about the social link
- Collect event data for a given query
- Scrape events from a list of events
- Get the title of an event
- Make a BeautifulSoup object from url
- Clears out the event list
- Write event data to disk
- Gets a list of event URLs
Get all kandi verified functions for this library.
event-collect Key Features
No Key Features are available at this moment for event-collect.
event-collect Examples and Code Snippets
No Code Snippets are available at this moment for event-collect.
Community Discussions
Trending Discussions on event-collect
QUESTION
AVRO file not read fully by Spark
Asked 2021-Nov-16 at 13:43
I am reading AVRO file stored on ADLS gen2 using Spark as following:
...ANSWER
Answered 2021-Nov-16 at 13:43To fully display all of the column you can use:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install event-collect
You can download it from GitHub.
You can use event-collect 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.
You can use event-collect 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.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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