Begin by accessing Strava's API to obtain the necessary data. Sign up for a Strava developer account if you haven't already and create an application to get your API client ID and client secret. Authenticate using OAuth 2.0 to obtain an access token that allows you to make authorized requests to Strava's API.

With your access token, make HTTP requests to Strava's API endpoints to retrieve the data you need. Use endpoints such as `/athlete/activities` to collect activity data. Ensure that you handle pagination if you're retrieving large datasets, as the API will return paginated results.

Once you have the raw JSON data from Strava, process and parse it into a structured format. Use a programming language like Python to extract relevant fields and convert them into a tabular format, such as CSV, to prepare for loading into TiDB.

Ensure that your TiDB environment is set up and ready to receive data. This includes installing TiDB on your server or using a cloud-based TiDB service. Confirm that you can connect to TiDB using a MySQL client or command-line tool.

Within your TiDB environment, create a new database and table structure to store the Strava data. Use SQL commands to define the schema of your table, ensuring that it matches the structure of the data you parsed from Strava. For example:
```sql
CREATE DATABASE strava_data;
USE strava_data;
CREATE TABLE activities (
id BIGINT PRIMARY KEY,
name VARCHAR(255),
distance FLOAT,
moving_time INT,
elapsed_time INT,
start_date DATETIME,
type VARCHAR(50)
);
```

Use the MySQL command-line tool or a script to load your processed data into the TiDB table. You can use the `LOAD DATA` statement or `INSERT INTO` statements if you converted the data into SQL commands. For example:
```sql
LOAD DATA LOCAL INFILE 'activities.csv' INTO TABLE activities
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```

After loading the data, verify that it has been correctly imported by running a few queries in TiDB. Check for data integrity and completeness. Use SQL queries to ensure that the data reflects what was retrieved from Strava and is ready for further analysis or processing. For example:
```sql
SELECT * FROM activities LIMIT 10;
```

By following these steps, you can successfully move data from Strava to TiDB without using third-party connectors or integrations.