Begin by exporting your data from Webflow. If you're dealing with a CMS Collection, navigate to the CMS Collections Panel, select the desired collection, and use the 'Export' option. This will generate a CSV file containing your collection data, which you can download to your local machine.

Write a script in a language like Python to parse the CSV file. Use a library such as `csv` in Python to open and read the contents of the file. This script will convert each row of the CSV into a format suitable for insertion into Redis.

Install and set up a Redis server on your local machine or on a remote server where you want to store your data. Ensure that Redis is running and accessible from your environment. Use `redis-cli` to verify the connection by executing a simple command like `PING`.

Depending on the programming language you are using, install a Redis client library. For Python, you can use `redis-py`. Install it via pip with the command `pip install redis`. This library will allow your script to interact with the Redis database.

In your script, establish a connection to the Redis server using the Redis client library. Specify the host, port, and any authentication details if required. For example, using `redis-py`, you can connect with:
```python
import redis
client = redis.Redis(host='localhost', port=6379, db=0)
```

With the CSV data parsed, transform each row into a Redis-compatible data structure. Decide on a data structure in Redis, such as a hash or a list, to store the data. Use the `set`, `hset`, or `rpush` methods to insert data into Redis. For example, to store data as a hash:
```python
for row in csv_data:
client.hset(name=row['id'], mapping=row)
```

After inserting the data, verify that the data has been correctly stored in Redis. Use `redis-cli` or your script to retrieve and check the data. Ensure that all fields are correctly inserted by running commands such as `HGETALL` for hashes or `LRANGE` for lists. This step ensures the integrity and completeness of the data transfer.

By following these steps, you can effectively move data from Webflow to Redis without relying on third-party connectors or integrations.