pySocialWatcher | Social Watcher on Facebook Marketing API

 by   maraujo Python Version: Current License: MIT

kandi X-RAY | pySocialWatcher Summary

kandi X-RAY | pySocialWatcher Summary

pySocialWatcher is a Python library. pySocialWatcher has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This package tries to get the full potencial of the Facebook Marketing API for Social Analysis research. Recent works show that online social media has a huge potencial to provide interesting insights on trends of across demographic groups.
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              pySocialWatcher has a low active ecosystem.
              It has 74 star(s) with 36 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 9 have been closed. On average issues are closed in 46 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pySocialWatcher is current.

            kandi-Quality Quality

              pySocialWatcher has no bugs reported.

            kandi-Security Security

              pySocialWatcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              pySocialWatcher is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pySocialWatcher 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, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pySocialWatcher and discovered the below as its top functions. This is intended to give you an instant insight into pySocialWatcher implemented functionality, and help decide if they suit your requirements.
            • Select array ids based on input value .
            • Select common fields in targeting .
            • Get the KML for a list of locations .
            • Handles send request errors
            • Trigger request processing .
            • Get all combinations of input data
            • Post process the response data .
            • Get token and account number .
            • Adds a list ofANDS to input_data_json .
            • This function is used to send a request to the backend .
            Get all kandi verified functions for this library.

            pySocialWatcher Key Features

            No Key Features are available at this moment for pySocialWatcher.

            pySocialWatcher Examples and Code Snippets

            No Code Snippets are available at this moment for pySocialWatcher.

            Community Discussions

            No Community Discussions are available at this moment for pySocialWatcher.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pySocialWatcher

            You should have a .csv file with your Facebook tokens and accountIDs. Example: pySocialWatcher/pysocialwatcher/facebook_tokens_example.csv.

            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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          • HTTPS

            https://github.com/maraujo/pySocialWatcher.git

          • CLI

            gh repo clone maraujo/pySocialWatcher

          • sshUrl

            git@github.com:maraujo/pySocialWatcher.git

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