How to load data from SurveyMonkey to Kafka

Begin by exporting the survey data you wish to move to Kafka. Log into your SurveyMonkey account, navigate to the specific survey, and access the “Results”� section. Use the “Export”� option to download the data in a suitable format such as CSV or Excel, which you will later process and send to Kafka.

Prepare your local environment for data processing. Install Python, which you will use to script the data processing. Ensure the necessary libraries are installed, such as `pandas` for data manipulation and `kafka-python` for sending data to Kafka. You can install these using pip:
```
pip install pandas kafka-python
```

Load the exported SurveyMonkey CSV/Excel data into a Python script using `pandas`. Parse through the data to extract the relevant fields you want to send to Kafka. You may need to clean or transform the data to fit the schema expected by your Kafka consumers. Here is a basic example:
```python
import pandas as pd

# Load the CSV data
data = pd.read_csv('survey_data.csv')

# Perform any necessary data transformations
processed_data = data[['Question1', 'Question2', 'Answer']] # Example of selecting specific columns
```

Ensure that you have a Kafka broker running locally or on a server. You can download Kafka from the Apache Kafka website and follow their setup instructions. Once Kafka is running, create a topic that will receive the SurveyMonkey data:
```bash
bin/kafka-topics.sh --create --topic survey_data --bootstrap-server localhost:9092 --partitions 1 --replication-factor 1
```

Set up a Kafka producer in your Python script using the `kafka-python` library. This producer will connect to your Kafka broker and send messages to the topic you created:
```python
from kafka import KafkaProducer
import json

producer = KafkaProducer(
bootstrap_servers='localhost:9092',
value_serializer=lambda v: json.dumps(v).encode('utf-8')
)
```

Iterate over the processed data and send each row as a message to the Kafka topic. Ensure the data is serialized into a JSON format for easier handling by consumers:
```python
for index, row in processed_data.iterrows():
message = row.to_dict()
producer.send('survey_data', message)
producer.flush()
```

Finally, verify that the data has been successfully sent to the Kafka topic. You can do this by consuming the messages from the topic using a Kafka console consumer:
```bash
bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic survey_data --from-beginning
```
Alternatively, you can write a simple Python consumer script using the `kafka-python` library to read and print messages from the topic, ensuring data integrity and completeness.

By following these steps, you can manually transfer data from SurveyMonkey to Kafka without relying on third-party connectors or integrations.