Send messages from a CSV file using Python

Table of contents

Introduction
Prerequisites
Install required packages
Create the CSV file
Create a file with the code
Replace the API token
Run the program
Conclusion

In this tutorial, you'll learn how to send messages to phone numbers stored in a CSV file using Node.js, the axios library, and the Agent Connect API. We will read the phone numbers and messages from the CSV file, and then send them using the Agent Connect API.

This article is just a small taste of all the API features. Explore dozens of use cases and ready-to-use code examples here.

Prerequisites

Basic understanding of Python
Python 3 installed on your computer
A text editor for writing code (e.g: Visual Studio Code, Atom, Vim)
A Agent Connect API token (you can obtain this by signing up here)

Install required packages

First, create a new directory for your project and navigate to it in your terminal. Then, run the following commands to install the necessary libraries:

pip install requests csv

Create the CSV file

Create a new file named numbers.csv in your project directory with two columns:

First column: phone number in E164 format with the country prefix.
Second column: text message to send to the target phone number.

The spreadsheet document should look like this:

Phone number	Message body
+1234567890	👋 Welcome to {{your-business-name}}! Thanks for signing up. We are just a message away!
+1234567890	💐 Your order has been shipped. Tracking number is {{tracking-number}}. Don't hesitate to reach out to if you need help! 🤗

The equivalent spreadsheet document exported as CSV should look like this:

+1234567890,"👋 Welcome to {{your-business-name}}! Thanks for signing up. We are just a message away!"
+1234567890,"💐 Your order has been shipped. Tracking number is {{tracking-number}}. Don't hesitate to reach out to if you need help! 🤗"

You can export any Office Excel or Google Sheets document as CSV file by following these instructions:

Create a file with the code

Create a new file named send_messages.py in your project directory and add the following code:

import requests
import csv

csv_file = 'numbers.csv'

# Replace this with your Agent Connect API token
# Get your API token here: https://chat.agentconnect.chat/apikeys
api_token = 'ENTER API KEY HERE'

# Optionally specify the target WhatsApp device ID connected to Agent Connect
# you want to use for messages delivery (24 characters hexadecimal value)
device = 'DEVICE ID GOES HERE' # or use None

headers = {
    'Content-Type': 'application/json',
    'Authorization': f'{api_token}',
}

url = 'https://api.agentconnect.chat/v1/messages'

def send_message(phone, message):
    json = {
      'phone': phone,
      'message': message,
      'device': device
    }
    try:
        response = requests.post(url, json=json, headers=headers)
        response.raise_for_status()
        print(f'=> Message created: {phone}')
    except e:
        print(f'Failed to create message to {phone}: {e}')

with open(csv_file, 'r') as f:
    reader = csv.reader(f)
    for row in reader:
        phone, message = row
        send_message(phone, message)

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Replace the API token

In the send_messages.py file, make sure you have defined the API token of your actual Agent Connect account:

# Replace this with your Agent Connect API token
api_token = 'ENTER_API_KEY_HERE'

Optionally, if you have multiple WhatsApp numbers connected in your Agent Connect account, you can specify which WhatsApp number you want to use for the messages delivery by specifying the Agent Connect unique device ID (24 characters hexadecimal value) in the following line:

# Optionally specify the target WhatsApp device ID connected to Agent Connect
# you want to use for messages delivery (24 characters hexadecimal value)
device = 'DEVICE ID GOES HERE'

Run the program

Before running the program, if you plan to send hundreds of messages in a row, we recommend to define a lower messages delivery speed per minute no more than 2-3 messages per minute to prevent ban issues due to anti-spam policies by WhatsApp. Learn more about best practices and how to reduce risk here.

Open a terminal in your project directory and run the following command to execute the send_messages.js script:

python send_messages.py

If everything is set up correctly, you should see output indicating the messages have been created successfully:

=> Message created: +1234567890
=> Message created: +1234567890
=> Message created: +1234567890

Note messages will be added to your number's message delivery queue and delivered asynchronously in background over time based on your number's subscription message delivery speed per minute limit or the manually configured delivery speed you have defined in your number's settings.

Messages may take several minutes or hours, depending on how much you have created, to be effectively delivered to the target phone numbers via WhatsApp. You can monitor the progress of the messages delivery in the web panel or automatically by using webhook events.

Conclusion

In this tutorial, you learned how to send messages to phone numbers stored in a CSV file using Python using requests library, and the Agent Connect API.

You can update numbers.csv file and run the program again anytime you want to send new messages through your Agent Connect connected WhatsApp number.

You can further customize the script to handle additional columns, create different types of messages, or integrate it with your own software as needed.