smat


Namesmat JSON
Version 0.2.0 PyPI version JSON
download
home_pagehttps://github.com/nwithan8/SMAT-API
SummaryA Python client for SMAT's API
upload_time2022-12-20 05:56:11
maintainer
docs_urlNone
authorNate Harris
requires_python>=3.6, <4
licenseGNU General Public License v3 (GPLv3)
keywords smat analysis social media tool online api
VCS
bugtrack_url
requirements objectrest
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # SMAT
A Python API wrapper for the [Social Media Analysis Toolkit](https://www.smat-app.com/timeline)

# Installation:
- Clone this repo with ``git clone https://github.com/nwithan8/SMAT-API.git`` or install from PyPi with ``pip install smat``
- Import into your project with ``from smat import API``

# Usage:
This library currently supports the three main methods of [SMAT's API](https://api.smat-app.com/docs#):

- ``get_content``: Get a list of posts from a specific outlet
- ``get_activity``: Aggregate based on a particular field on a specific outlet
- ``get_time_series``: Get a time series for a specific outlet

- ``term`` is a required parameter for each field. 
- ``site``is a required parameter for each field. You can use the predefined enums in ``smat.Site`` or provide your own string.
  - NOTE: IF you provide an invalid site, you will receive an empty JSON body back from the API.
- All other parameters are optional or have preset defaults.

Docs coming soon. PRs welcome.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/nwithan8/SMAT-API",
    "name": "smat",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.6, <4",
    "maintainer_email": "",
    "keywords": "SMAT,analysis,social media,tool,online,API",
    "author": "Nate Harris",
    "author_email": "n8gr8gbln@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/31/e5/adfac079944609ab151aa469febc08523b9e6c16749c370124ae8ea8fa5f/smat-0.2.0.tar.gz",
    "platform": null,
    "description": "# SMAT\nA Python API wrapper for the [Social Media Analysis Toolkit](https://www.smat-app.com/timeline)\n\n# Installation:\n- Clone this repo with ``git clone https://github.com/nwithan8/SMAT-API.git`` or install from PyPi with ``pip install smat``\n- Import into your project with ``from smat import API``\n\n# Usage:\nThis library currently supports the three main methods of [SMAT's API](https://api.smat-app.com/docs#):\n\n- ``get_content``: Get a list of posts from a specific outlet\n- ``get_activity``: Aggregate based on a particular field on a specific outlet\n- ``get_time_series``: Get a time series for a specific outlet\n\n- ``term`` is a required parameter for each field. \n- ``site``is a required parameter for each field. You can use the predefined enums in ``smat.Site`` or provide your own string.\n  - NOTE: IF you provide an invalid site, you will receive an empty JSON body back from the API.\n- All other parameters are optional or have preset defaults.\n\nDocs coming soon. PRs welcome.\n",
    "bugtrack_url": null,
    "license": "GNU General Public License v3 (GPLv3)",
    "summary": "A Python client for SMAT's API",
    "version": "0.2.0",
    "split_keywords": [
        "smat",
        "analysis",
        "social media",
        "tool",
        "online",
        "api"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "d6735d2879590e9859c476cdf17ca661",
                "sha256": "a02ac122f836c14d2da726ea4242f07c1c1bd42ed3e0fdeb25de422e26fc400f"
            },
            "downloads": -1,
            "filename": "smat-0.2.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "d6735d2879590e9859c476cdf17ca661",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6, <4",
            "size": 16603,
            "upload_time": "2022-12-20T05:56:09",
            "upload_time_iso_8601": "2022-12-20T05:56:09.311435Z",
            "url": "https://files.pythonhosted.org/packages/8c/89/13b8a755b77b3de57400b48fb24dc1c6deb0982fec46b33d36ea5df0e035/smat-0.2.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "c6faacf8403b9bfeb4c32ee056458201",
                "sha256": "1d4e5eb88f717769e8e978f870890154ae2d2c20e38a8d85df94d95282c0787a"
            },
            "downloads": -1,
            "filename": "smat-0.2.0.tar.gz",
            "has_sig": false,
            "md5_digest": "c6faacf8403b9bfeb4c32ee056458201",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6, <4",
            "size": 16486,
            "upload_time": "2022-12-20T05:56:11",
            "upload_time_iso_8601": "2022-12-20T05:56:11.336615Z",
            "url": "https://files.pythonhosted.org/packages/31/e5/adfac079944609ab151aa469febc08523b9e6c16749c370124ae8ea8fa5f/smat-0.2.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-12-20 05:56:11",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "nwithan8",
    "github_project": "SMAT-API",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [
        {
            "name": "objectrest",
            "specs": []
        }
    ],
    "lcname": "smat"
}
        
Elapsed time: 0.02406s