Socket
Socket
Sign inDemoInstall

exportcomments

Package Overview
Dependencies
0
Maintainers
1
Alerts
File Explorer

Install Socket

Detect and block malicious and high-risk dependencies

Install

    exportcomments

Official Python client for the ExportComments API


Maintainers
1

Readme

ExportComments API for Python

Official Python client for the ExportComments API. Build and run machine learning models for language processing from your Python apps.

Installation

You can use pip to install the library:

$ pip install exportcomments

Alternatively, you can just clone the repository and run the setup.py script:

$ python setup.py install

Usage

Before making requests to the API, you need to create an instance of the ExportComments client. You will have to use your account API Key:

from exportcomments import ExportComments

# Instantiate the client Using your API key
ex = ExportComments('<YOUR API TOKEN HERE>')

Usage Examples

From the ExportComments client instance, you can call any endpoint:

Check export

response = ex.exports.check(
    guid='dfd6a2f2-5579-421f-96ac-98993d0edea1'
)

Responses

The response object returned by every endpoint call is a ExportCommentsResponse object. The body attribute has the parsed response from the API:

print(response.body)

# =>  {
# =>      "code": 200,
# =>      "success": true,
# =>      "data": {
# =>          "url": "https://www.instagram.com/p/1234567",
# =>          "guid": "2cfb0b9d-7633-4341-a702-cb889fe549eb",
# =>          "status": "queueing",
# =>          "replies": false,
# =>          "fileName": "comments5ea4b4d5a7602-1325511884314646.xlsx",
# =>          "fileNameRAW": "08b735760a5a40eb1fd70ca16e97aed3-2e0916fe-de86-4422-8449-fb608cbe5221.json",
# =>          "total": 0,
# =>          "totalExported": 0,
# =>          "retry": 0,
# =>          "error": null,
# =>          "repliesCount": 0,
# =>          "twitterType": null,
# =>          "timezone": "UTC",
# =>          "createdAt": "2016-08-26T07:32:09+00:00",
# =>          "updatedAt": "2016-08-26T07:32:09+00:00",
# =>          "exportedAt": "",
# =>          "downloadUrl": "/exports/comments5ea4b4d5a7602-1325511884314646.xlsx",
# =>          "rawUrl": "/exports/08b735760a5a40eb1fd70ca16e97aed3-2e0916fe-de86-4422-8449-fb608cbe5221.json"
# =>      },
# =>      "message": null
# =>  }

Create export

response = ex.exports.create(
    url='https://www.instagram.com/p/1234567', replies='false', twitterType=None
)

Errors

Endpoint calls may raise exceptions. Here is an example on how to handle them:

from exportcomments.exceptions import PlanQueryLimitError, ExportCommentsException

try:
    response = ex.exports.create(url='https://www.instagram.com/p/1234567', replies='false', twitterType=None)
except PlanQueryLimitError as e:
    # No monthly queries left
    # e.response contains the ExportCommentsResponse object
    print(e.error_code, e.detail)
except ExportCommentsException:
    raise

Available exceptions:

classDescription
ExportCommentsExceptionBase class for every exception below.
RequestParamsErrorAn invalid parameter was sent. Check the exception message or response object for more information.
AuthenticationErrorAuthentication failed, usually because an invalid token was provided. Check the exception message.
ForbiddenErrorYou don't have permissions to perform the action on the given resource.
PlanRateLimitErrorYou have sent too many requests in the last minute.
ConcurrencyRateLimitErrorYou have sent too many requests in the last second.

Keywords

FAQs


Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc