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1. Prerequisites

To follow this guide, you will need to:

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2. Install and initialize the CodeQR Python SDK

1

Install

To install the CodeQR Python SDK, run the following command:

pip
pip install codeqr
2

Initialize

Initialize the CodeQR Python SDK by creating a new instance of the CodeQR class.

import os
import codeqr
from codeqr.models import operations

d = codeqr.CodeQR(
  token=os.environ['CODEQR_API_KEY'],
)

Let’s create a short link using the CodeQR Python SDK.

index.py
res = d.links.create(request={
  "url": "https://google.com",
})

print(res.short_link)

This will let you easily update the link or retrieve analytics for it later on using the externalId instead of the CodeQR linkId.

Optionally, you can also pass an externalId field which is a unique identifier for the link in your own database to associate it with the link in CodeQR’s system.

index.py
res = d.links.create(request={
  "url": "https://google.com",
  "external_id": "12345",
})

print(res.short_link)

CodeQR Python SDK provides a method to upsert a link – where an existing link is updated if it exists, or a new link is created if it doesn’t. so you don’t have to worry about checking if the link already exists.

index.py
res = d.links.upsert(request={
  "url": "https://google.com",
})

print(res.short_link)

This way, you won’t have to worry about checking if the link already exists when you’re creating it.

Let’s update an existing link using the CodeQR Python SDK.

You can do that in two ways:

  • Using the link’s linkId in CodeQR’s system.
  • Using the link’s externalId in your own database (prefixed with ext_).
index.py
# Update a link by its linkId
res = d.links.update(link_id="clx1gvi9o0005hf5momm6f7hj", request_body={
  "url": "https://google.uk",
})

print(res.short_link)

# Update a link by its externalId
res = d.links.update(external_id="ext_12345", request_body={
  "url": "https://google.uk",
})

print(res.short_link)

CodeQR allows you to retrieve analytics for a link using the CodeQR Python SDK.

index.py
# Retrieve the timeseries analytics for the last 7 days for a link
res = d.analytics.retrieve(request={
  "link_id": "clx1gvi9o0005hf5momm6f7hj",
  "interval": "7d",
  "group_by": "timeseries",
})

print(res)

Similarly, you can retrieve analytics for a link using the externalId field.

index.py
# Retrieve the timeseries analytics for the last 7 days for a link
res = d.analytics.retrieve(request={
  "external_id": "ext_12345",
  "interval": "7d",
  "group_by": "timeseries",
})

print(res)

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7. Examples

Python Example

See the full example on GitHub.