To begin, you need to access Instagram data programmatically. Register your application with Instagram to obtain API credentials, including an Access Token. This token will authenticate your requests to the Instagram API and allow you to retrieve data from your account or public data, depending on the permissions granted.

You'll be using Python to interact with the Instagram API and to produce messages to Kafka. Ensure you have Python installed, then install the necessary libraries using pip:
```bash
pip install requests kafka-python
```
`requests` will help in making HTTP requests to the Instagram API, and `kafka-python` will be used to interact with Kafka.

Write a Python script to fetch data from Instagram using the API. You can retrieve user data, media, comments, or any other available endpoint:
```python
import requests

ACCESS_TOKEN = 'your_access_token'
endpoint = 'https://graph.instagram.com/me/media'
params = {
'fields': 'id,caption,media_type,media_url,thumbnail_url,timestamp',
'access_token': ACCESS_TOKEN
}

response = requests.get(endpoint, params=params)
instagram_data = response.json()
```

Download and install Apache Kafka on your local machine or server. Follow the official Kafka documentation to configure and start the Kafka broker:
- Download Kafka from [Apache Kafka Downloads](https://kafka.apache.org/downloads).
- Extract the downloaded files.
- Start the Zookeeper service:
```bash
bin/zookeeper-server-start.sh config/zookeeper.properties
```
- Start the Kafka broker:
```bash
bin/kafka-server-start.sh config/server.properties
```

Create a topic in Kafka where the Instagram data will be published. Use the Kafka command line tool to create a topic:
```bash
bin/kafka-topics.sh --create --topic instagram-data --bootstrap-server localhost:9092 --partitions 1 --replication-factor 1
```

Modify your Python script to produce the retrieved Instagram data to the Kafka topic. Use the `kafka-python` library to achieve this:
```python
from kafka import KafkaProducer
import json

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

for item in instagram_data['data']:
producer.send('instagram-data', value=item)

producer.flush()
```

Finally, verify that the data is being correctly published to Kafka by consuming the messages from the topic using a Kafka consumer:
```bash
bin/kafka-console-consumer.sh --topic instagram-data --from-beginning --bootstrap-server localhost:9092
```
This command will display messages from the `instagram-data` topic, confirming that the transfer from Instagram to Kafka was successful.

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