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Listing Phone Numbers Assigned to One Campaign

Overview

If you have a lot of campaigns, it's important to keep track of what phone numbers belong to each campaign. You can always compare this list to your account numbers to get an accurate idea of which numbers are registered and which aren't! To list all of your account numbers, check out this guide!

Full code example: List Phone Numbers from Campaign
import pandas as pd
import requests
from requests.auth import HTTPBasicAuth


# assign client variables
SpaceURL = 'example.signalwire.com'
projectID = ""
authToken = ""
campaignID = ""
host = f"https://{SpaceURL}"


# define URL for API Endpoint
url = f"https://{SpaceURL}/api/relay/rest/registry/beta/campaigns/{campaignID}/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}.")

# Sets up an empty array
d = []

# loop through numbers
for number in campaignNumbers:
d.append(number['phone_number']['number'])
df = pd.DataFrame(d, columns=(['Phone Number']))

print(df)
# Exports dataframe to csv, index=False turns off the indexing for each row
df.to_csv('CompanyNumbers.csv', index=False, encoding='utf-8')

You will need your API credentials as well as the campaign ID that you would like to pull information on. You can find your API credentials in the API tab of your SignalWire Space!

You can find your campaign ID by going to the Messaging Campaigns section of your SignalWire space and clicking the specific campaign whose numbers you need. The ID is the long alphanumeric string at the top as shown here:

Python

What do I need to run this 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.

How to Run Snippet?

If you copy the code and save it to a file named listCampaignNumbers.py, for example, to run it you will need to run:

  • MacOS/Linux - python3 listCampaignNumbers.py
  • Windows - py listCampaignNumbers.py

Code Walkthrough

Load necessary libraries and set up SignalWire client variables

This application is very simple! We will first define our SpaceURL, projectID, authToken, and campaignID variables to be used throughout the code.

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

# assign client variables
SpaceURL = 'example.signalwire.com'
projectID = ""
authToken = ""
campaignID = ""
host = f"https://{SpaceURL}"

Get the list of numbers

Next, we need to define our URL for the API endpoint and create an HTTP request to it using the Python requests library. However, this URL will only return 1000 results at a time. If you have less than 1000 results, then you have nothing to worry about! However, we will use the while loop in the next section to take care of campaigns with more than 1000 numbers. We will paginate through the API results and continually add the results to campaignNumbers.

# define URL for API Endpoint
url = f"https://{SpaceURL}/api/relay/rest/registry/beta/campaigns/{campaignID}/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}.")

Create a DataFrame, print it, and export to CSV

Lastly, we will append each phone number to our d list and export to CSV using the Pandas library!

# Sets up an empty array
d = []

# loop through numbers
for number in campaignNumbers:
d.append(number['phone_number']['number'])
df = pd.DataFrame(d, columns=(['Phone Number']))

print(df)
# Exports dataframe to csv, index=False turns off the indexing for each row
df.to_csv('CompanyNumbers.csv', index=False, encoding='utf-8')

Node.js

What do I need to run this code?

We will need the following libraries (click their names to get instructions on how to install them):

How to Run Snippet?

If you save this code snippet in a file called listCampaignNumbers.js, for example, you then need to run:
node listCampaignNumbers.js.

Code Walkthrough

Load the necessary libraries

import dfd from "danfojs";
import fs from "fs";
import fetch from "node-fetch";

Prepare your SignalWire client variables

In order for us to connect to SignalWire later on in the code we first need to make sure we update spaceURL, projectID, authToken, and campaignID.

// TODO: Update with your own credentials
const spaceURL = 'YOURSPACE.signalwire.com';
const projectID = "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX";
const authToken = "PTxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx";
const campaignID = "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX";

const host = "https://" + spaceURL;
const authenticationString = projectID + ":" + authToken;

Prepare function to get the data

Here we prepare the getDatafunction, taking pagination into account.

var allData = [];

async function getData(url) {
const options = {
method: 'GET',
headers: {
'Authorization': 'Basic ' + new Buffer.from(authenticationString).toString('base64')
}
};

const response = await fetch(url, options).then(res => res.json())

response.data.forEach((record) => {
allData.push(record);
})

if (response.links.next) {
let newURL = host + response.links.next;
return await getData(newURL);
}
}

Get the list of numbers associated with the campaign

In this step we connect to the List all Phone Number Assignments endpoint and add each number to the numbers array.

let url = "https://" + spaceURL + "/api/relay/rest/registry/beta/campaigns/" + campaignID + "/numbers?page_size=1000";
await getData(url)

console.log("There are", allData.length, "total numbers in campaign", campaignID + ".")

let numbers = [];

allData.forEach((record) => {
numbers.push([record.phone_number.number]);
})

Create DataFrame, print it, and export to CSV

Here we create the finalData DataFrame from the numbers array we created in the previous step. It then makes printing the results to the terminal as well as exporting to CSV very easy.

let finalData = new dfd.DataFrame(numbers, {
columns: ["Phone Number"],
config: {
tableDisplayConfig: {
columns: [
{ width: 1 },
{ width: 14 }
],
},
},
});

finalData.print();
fs.writeFileSync("CampaignNumbers.csv", dfd.toCSV(finalData));

Ruby

What do I need to run this code?

This snippet uses two gems HTTParty and Dotenv.

Additionally this snippet requires CSV and JSON which are part of the ruby standard gems

How to Run Snippet?

  1. Configure your SignalWire credentials in your .env file
  2. assign the target campaign ID to the campaignID variable
  3. run app.rb

Code Walkthrough

Set-up

First we will require all of our gems, and use our SignalWire credentials to create auth and host variables.
Next we will set campaignID to the campaign we wish to retrieve numbers from.
Finally, set the writePath and establish an empty array to hold all of our numbers.

# load all gems from our gemfile
require 'dotenv/load'
require 'json'
require 'HTTParty'
require 'csv'

#set authentication variables for http basic auth
auth = {:username=> ENV['projectID'], :password => ENV['token']}
host = ENV['spaceURL']

#the campaign ID you would like to search
campaignID = ''

#the file will be written to a CSV file named based on your campaign ID
writePath = campaignID+".csv"

#empty array for our numbers
assignedNumbers = []

Making requests and pagination

Now we can actually make our initial request by setting our url to use our host and campaignID variables to the /numbers endpoint. Then make a request using url and our auth, and parse the response as JSON.

Finally we will check for additional pages and loop through any additional pages to ensure we gather all data available.

#the URL we will make our get request to
url = host+'/api/relay/rest/registry/beta/campaigns/'+campaignID+'/numbers'

#create a get request to our URL, using our authentication
response = HTTParty.get(url,:basic_auth=>auth)


#Parse the response as JSON, and add each phone number to our array
jsonResponse = JSON.parse(response.body)
jsonResponse['data'].each {|x| assignedNumbers.push(x['phone_number']['number'])}


# Check for next page and repeat the process until we have exhausted all pages
while jsonResponse['links']['next'] != nil
response = HTTParty.get(host+jsonResponse['links']['next'],:basic_auth=>auth)
jsonResponse = JSON.parse(response.body)
jsonResponse['data'].each {|x| assignedNumbers.push(x['phone_number']['number'])}
end

Writing the data

Finally we can print out some information about our campaign, such as the amount of phone number assigned, and write the data we have collected to a CSV using our writePath.

#Print the total numbers in a campaign
puts "This campaign has: "+assignedNumbers.length.to_s+" phone numbers assigned"

#Write our assignedNumbers array to a CSV
CSV.open(writePath, 'w') do |csv|
csv << assignedNumbers
end

Java

What do I need to run this code?

We will need the following libraries (click their names to get instructions on how to install them):

How to Run Snippet?

If you have this code snippet in a file called ListCampaignNumber.java, for example, you then need to run: javac ListCampaignNumber.java and then run java ListCampaignNumber.java.

Code Walkthrough

Load the necessary libraries

import com.google.gson.Gson;
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.JsonNode;
import com.mashape.unirest.http.Unirest;
import com.mashape.unirest.http.exceptions.UnirestException;
import java.io.File;
import java.io.IOException;
import java.io.PrintWriter;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.Stream;

Prepare your SignalWire client variables

In order for us to connect to SignalWire later on in the code we first need to make sure we update spaceURL, projectID, apiToken, and campaignID.

    static String HOST = "https://<space-name>.signalwire.com";
static String CAMPAIGN_ID = "<ENTER-CAMPAIGN-ID-HERE>";
static String API_TOKEN = "<API-TOKEN-HERE>";
static String PROJECT_ID = "<PROJECT-ID-HERE>";
static ArrayList<String[]> dataLines = new ArrayList<>();

Prepare function to get the data

Here we prepare the loadCampaignNumbers function.

static JsonNode loadCampaignNumbers(String url) {
try {
// Perform the request to the endpoint
HttpResponse<JsonNode> response = Unirest.get(url)
.basicAuth(PROJECT_ID, API_TOKEN)
.header("accept", "application/json")
.asJson();

if (response.getStatus() == 200) {
return response.getBody();
} else {
return null;
}
} catch (UnirestException e) {
e.printStackTrace();
}
return null;
}

Get the list of numbers associated with the campaign

In this step we connect to the List all Phone Number Assignments endpoint and add each number to the lists array.

       ArrayList<Item> lists = new ArrayList<>();

dataLines.add(new String[]{"date_created", "phone_number", "name", "state"});

Gson gson = new Gson();

String url = String.format("%s/api/relay/rest/registry/beta/campaigns/%s/numbers", HOST, CAMPAIGN_ID);

JsonNode response = loadCampaignNumbers(url);

assert response != null;

Result dataResponse = gson.fromJson(response.toString(), Result.class);

dataResponse.data.forEach(item -> {
lists.add(item);
});

// for pagination, if the next key from the links is not null
// perform another request to get the response of the data in the next page
if (dataResponse.links.next != null) {
String nextUrl = HOST + dataResponse.links.next;

JsonNode nextRequest = loadCampaignNumbers(nextUrl);

Result nextResponse = gson.fromJson(nextRequest.toString(), Result.class);

nextResponse.data.forEach(item -> {
lists.add(item);
});

}

lists.forEach(item -> {
dataLines.add(new String[]{item.created_at, item.phone_number.number, item.phone_number.name, item.state});
});

createAndPopulateCSV();

System.out.printf("There are %d total numbers in campaign %s", lists.size(), CAMPAIGN_ID);

Writing the data to a CSV file

Finally we can print out some information about our campaign, such as the amount of phone number assigned, and write the data we have collected to a CSV using our function createAndPopulateCSV

 public static void createAndPopulateCSV() throws IOException {

// Auto-generate the name of the file
String filename = "message_result" + System.currentTimeMillis();

// Get the absolute path to the folder you would like to create in the project directory
File file = new File(Paths.get("csv").toAbsolutePath().toUri());

// if file doesn't exist. create a new folder
if (!file.exists()) {
boolean isFolder = file.mkdir();
if (isFolder) {
System.out.println("New folder created!");
} else {
System.out.println("Couldn\'t create folder");
}
}

// create new csv file with the autogenerated name
File csvOutputFile = new File(Paths.get("csv").toAbsolutePath() + "\\" + filename);
try (PrintWriter printWriter = new PrintWriter(csvOutputFile)) {
dataLines.stream()
.map(ListCampaignNumbers::convertToCsv)
.forEach(printWriter::println); // Write item into the CSV file
System.out.println("Write operation done successfully!");
}

}

Sign Up Here

If you would like to test this example out, you can create a SignalWire account and space here.

Please feel free to reach out to us on our Community Slack or create a Support ticket if you need guidance!