Skip to main content

Listing Assigned Phone Numbers from All Campaigns

Full code example: Export Messaging Campaign Number Assignments to CSV
import requests
from requests.auth import HTTPBasicAuth
import pandas as pd

# define your variables here to reuse throughout code
SpaceURL = 'EXAMPLE.signalwire.com'
projectID = "XXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
authToken = "PTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
host = f"https://{SpaceURL}"
all_campaign_numbers = []


# list all of our brands
response = requests.get(f"https://{SpaceURL}/api/relay/rest/registry/beta/brands",
headers={
"Accept": "application/json",
"Content-Type": "application/json"},
auth=HTTPBasicAuth(projectID, authToken)).json()
brands = response['data']

while "next" in response['links'].keys():
response = requests.get(host + response['links']['next'], auth=HTTPBasicAuth(projectID, authToken)).json()
brands.extend(response['data'])

print(f"You have {len(brands)} brands!")

# loop through each brand and check for its campaigns
for brand in brands:
brand_sid = brand['id']
brand_ID = brand['csp_brand_reference']

# list campaigns for this brand
response = requests.get(f"https://{SpaceURL}/api/relay/rest/registry/beta/brands/{brand_sid}/campaigns",
headers={
"Accept": "application/json",
"Content-Type": "application/json"},
auth=HTTPBasicAuth(projectID, authToken)).json()

# view campaigns
campaigns = response['data']

# add pagination
while "next" in response['links'].keys():
response = requests.get(host + response['links']['next'], auth=HTTPBasicAuth(projectID, authToken)).json()
campaigns.extend(response['data'])

print(f"You have {len(campaigns)} campaigns in the brand {brand_ID}!")

for campaign in campaigns:
campaignSID = campaign['id']
campaignID = campaign['csp_campaign_reference']
campaignName = campaign['name']

# loop through campaigns and list campaign numbers
url = f"https://{SpaceURL}/api/relay/rest/registry/beta/campaigns/{campaignSID}/numbers?page_size=1000"
payload = {}
headers = {}

response = requests.request("GET", url, headers=headers, data=payload,
auth=HTTPBasicAuth(projectID, authToken)).json()
campaignNumbers = response['data']

while "next" in response['links'].keys():
response = requests.get(host + response['links']['next'], auth=HTTPBasicAuth(projectID, authToken)).json()
campaignNumbers.extend(response['data'])

print(f"There are {len(campaignNumbers)} total numbers in campaign {campaignID}.")

# loop through each campaign number
for number in campaignNumbers:
numberID = number['phone_number']['id']
tn = number['phone_number']['number']
numberState = number['state']
addToCampaignDate =number['created_at']

all_campaign_numbers.append([brand_sid, brand_ID, campaignSID, campaignID, numberID, tn, numberState, addToCampaignDate])


# create dataframe
df = pd.DataFrame(all_campaign_numbers, columns=('Brand SID', 'Brand ID', 'Campaign SID', 'Campaign ID', 'Number SID', 'Number', 'Number State', 'Date Added to Campaign'))
print(df.to_string())

df.to_csv('AllSpaceCampaigns.csv', index=False, encoding='utf-8')

What are we going to do?

This snippet incorporates SignalWire's Campaign Registry API Endpoint to list all number assignments for your SignalWire Space. You can then build a data frame with any information that you may need for better monitoring of your numbers.

The List Phone Number Assignments Endpoint gives the capability of retrieving all assignments for the Brands and Campaigns created through your Space.

In order to create a data table of phone number information, this application will begin by listing out all brands for your Space. Once all brands for your Space are listed, the code will dig through each of these brands to find the campaigns that are associated with them. Once all campaigns are listed, the next step is to search through all of these campaigns for their number assignments.

After all of the numbers have been listed, it is fairly simple to fill in the project ID, campaign ID, and the association status of each number listed. Then, the only thing left to do is combine it all into a data table and export it to a .csv file.

What you need to run the code

For the following code to work, you will need to have pandas and requests installed.

Read about the different ways to install pandas here.

Read about requests and how to install using pip here.

What variables change?

projectID - Your project ID is an alphanumeric string that tells the API endpoint where to find your project. You can find this in an easily copyable format by going to your SignalWire Portal and click the API tab on the left-hand side.

authToken - Your Auth Token is an alphanumeric string that helps to authenticate your HTTP requests to SignalWire. You can create this (if you haven’t already) or copy this in an easily copyable format by going to your SignalWire Portal and clicking the API tab. If you have not created an API token, press the blue new button. If you have, click show and copy the string.

SpaceURL - Your Space URL is the domain of your Space, i.e. example.signalwire.com. This can also be found in an easily copyable format within the API tab in your SignalWire Space.

The Code

import requests
from requests.auth import HTTPBasicAuth
import pandas as pd

# define your variables here to reuse throughout code
SpaceURL = 'EXAMPLE.signalwire.com'
projectID = "XXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
authToken = "PTXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
host = f"https://{SpaceURL}"
all_campaign_numbers = []

# list all of our brands
response = requests.get(f"https://{SpaceURL}/api/relay/rest/registry/beta/brands",
headers={
"Accept": "application/json",
"Content-Type": "application/json"},
auth=HTTPBasicAuth(projectID, authToken)).json()
brands = response['data']

while "next" in response['links'].keys():
response = requests.get(host + response['links']['next'], auth=HTTPBasicAuth(projectID, authToken)).json()
brands.extend(response['data'])

print(f"You have {len(brands)} brands!")

# loop through each brand and check for its campaigns
for brand in brands:
brand_sid = brand['id']
brand_ID = brand['csp_brand_reference']

# list campaigns for this brand
response = requests.get(f"https://{SpaceURL}/api/relay/rest/registry/beta/brands/{brand_sid}/campaigns",
headers={
"Accept": "application/json",
"Content-Type": "application/json"},
auth=HTTPBasicAuth(projectID, authToken)).json()

# view campaigns
campaigns = response['data']

# add pagination
while "next" in response['links'].keys():
response = requests.get(host + response['links']['next'], auth=HTTPBasicAuth(projectID, authToken)).json()
campaigns.extend(response['data'])

print(f"You have {len(campaigns)} campaigns in the brand {brand_ID}!")

for campaign in campaigns:
campaignSID = campaign['id']
campaignID = campaign['csp_campaign_reference']
campaignName = campaign['name']

# loop through campaigns and list campaign numbers
url = f"https://{SpaceURL}/api/relay/rest/registry/beta/campaigns/{campaignSID}/numbers?page_size=1000"
payload = {}
headers = {}

response = requests.request("GET", url, headers=headers, data=payload,
auth=HTTPBasicAuth(projectID, authToken)).json()
campaignNumbers = response['data']

while "next" in response['links'].keys():
response = requests.get(host + response['links']['next'], auth=HTTPBasicAuth(projectID, authToken)).json()
campaignNumbers.extend(response['data'])

print(f"There are {len(campaignNumbers)} total numbers in campaign {campaignID}.")

# loop through each campaign number
for number in campaignNumbers:
numberID = number['phone_number']['id']
tn = number['phone_number']['number']
numberState = number['state']
addToCampaignDate =number['created_at']

all_campaign_numbers.append([brand_sid, brand_ID, campaignSID, campaignID, numberID, tn, numberState, addToCampaignDate])


# create dataframe
df = pd.DataFrame(all_campaign_numbers, columns=('Brand SID', 'Brand ID', 'Campaign SID', 'Campaign ID', 'Number SID', 'Number', 'Number State', 'Date Added to Campaign'))
print(df.to_string())

df.to_csv('AllSpaceCampaigns.csv', index=False, encoding='utf-8')

Output

A screenshot of a table organizing values by Brand SID, Brand ID, Campaign SID, Campaign ID, Number SID, Number, Number State, and Date Added.

Comments

This snippet introduced how to use the data given by the SignalWire Campaign Registry API Endpoints to list out the phone numbers assigned to each campaign in your Space. We learned how to list brands, list campaigns, and also list the number assignments. Lastly, through the usage of the pandas package, all of this data was formatted in a table and exported to CSV format.