facebook-comment-fetcher | Fetch comments from Facebook Ads
kandi X-RAY | facebook-comment-fetcher Summary
kandi X-RAY | facebook-comment-fetcher Summary
facebook-comment-fetcher is a Python library. facebook-comment-fetcher has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Fetches negative comments on Facebook Ads for some Facebook Ads accounts and pushes them to Slack. Uses VADER sentiment analysis library and deepL to translate sentences from French to English. Needs to iterate over Facebook Ads accounts every 15 minutes and checks for new comments. already_parsed.db is cleaned every week so that the script doesn't get too slow overtime (time complexity O(n)).
Fetches negative comments on Facebook Ads for some Facebook Ads accounts and pushes them to Slack. Uses VADER sentiment analysis library and deepL to translate sentences from French to English. Needs to iterate over Facebook Ads accounts every 15 minutes and checks for new comments. already_parsed.db is cleaned every week so that the script doesn't get too slow overtime (time complexity O(n)).
Support
Quality
Security
License
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Support
facebook-comment-fetcher has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
facebook-comment-fetcher has no issues reported. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of facebook-comment-fetcher is current.
Quality
facebook-comment-fetcher has no bugs reported.
Security
facebook-comment-fetcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
facebook-comment-fetcher 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.
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facebook-comment-fetcher 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.
Top functions reviewed by kandi - BETA
kandi has reviewed facebook-comment-fetcher and discovered the below as its top functions. This is intended to give you an instant insight into facebook-comment-fetcher implemented functionality, and help decide if they suit your requirements.
- Analyze sentiment analyzer
- Send an error message to Slack
- Send a message to Slack
- Fetch ad ids
- Send Slack message
- Fetches the id of an ad
- Catch exceptions and send them to Slack
- Fetcher for comments
- Analyze a sentence of sentiment
- Analyze a sentence
- Returns the sentence
Get all kandi verified functions for this library.
facebook-comment-fetcher Key Features
No Key Features are available at this moment for facebook-comment-fetcher.
facebook-comment-fetcher Examples and Code Snippets
No Code Snippets are available at this moment for facebook-comment-fetcher.
Community Discussions
No Community Discussions are available at this moment for facebook-comment-fetcher.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install facebook-comment-fetcher
You can download it from GitHub.
You can use facebook-comment-fetcher 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 facebook-comment-fetcher 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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