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Requesting Top Links by Columns

📘 Information below might be outdated - please visit our recently updated API Reference

The instruction below shows how to request top links.

1) Get your API key here: https://app.short.io/settings/integrations/api-key

  • Click "Create API key".
  • Add a Secret key.

2) Copy an ID of a domain you want to request clickstream.

  • Open domain settings.
  • Copy the domain ID.

3) Install prerequisites for requests.

pip install requests

Now everything is ready to run the following snippet. It will return a list of top links.

4) Create a file: filename.py/ .js/ .rb. Use the code snippet below.

📘

Please, replace domainID, column parameters with appropriate values.

👍

You can use path, method, st, proto, human, browser, browser_version, country, city, social, refhost, os, utm_medium, utm_source, utm_campaign, goal_completed, ab_path for the column parameter.

import requests

url = "https://api-v2.short.io/statistics/domain/domainID/top"

payload = {"period":"total","limit":10,"tzOffset":0,"column":"country"}
headers = {
'accept': "*/*",
'content-type': "application/json",
'authorization': "<<apiKey>>"
}

response = requests.request("POST", url, json=payload, headers=headers)

print(response.text)

5) Launch the file.

python filename.py

6) JSON Response.

Once you run the code, you will see the response.

[
{ score: '2730', column: 'US', displayName: 'United States' },
{ score: '2148', column: 'CN', displayName: 'China' },
{ score: '1601', column: 'SG', displayName: 'Singapore' },
{ score: '1554', column: 'DE', displayName: 'Germany' },
{ score: '1411', column: 'HK', displayName: 'Hong Kong' },
{ score: '1152', column: 'FR', displayName: 'France' },
{ score: '814', column: 'CA', displayName: 'Canada' },
{ score: '707', column: 'RU', displayName: 'Russia' },
{ score: '386', column: '', displayName: '' },
{ score: '313', column: 'IN', displayName: 'India' },
{ score: '236', column: 'GB', displayName: 'United Kingdom' },
{ score: '235', column: 'BR', displayName: 'Brazil' },
{ score: '185', column: 'UA', displayName: 'Ukraine' },
{ score: '97', column: 'NL', displayName: 'Netherlands' }
]