Begin by exporting your data from Monday.com. Navigate to your desired board, click on the three-dot menu in the top right corner, and select "Export to Excel." This will download the board data as an Excel file, which you can then convert to a CSV file for easier processing.

Open the exported Excel file and save it as a CSV file. Ensure that the column headers are clean and appropriately named, as these will be used as field names in Typesense. Remove any unnecessary columns or rows to streamline the data import process.

Download and install Typesense on your server. You can do this by visiting the [Typesense GitHub repository](https://github.com/typesense/typesense) and following the installation instructions for your operating system. Ensure that the Typesense server is running and accessible.

Create a schema for your Typesense collection that matches the structure of your data. This involves specifying the fields and their types. For instance, create a JSON schema file like this:
```json
{
"name": "your_collection_name",
"fields": [
{"name": "id", "type": "int32"},
{"name": "name", "type": "string"},
{"name": "status", "type": "string"}
],
"default_sorting_field": "id"
}
```
Adjust the field names and types according to your data.

Use the Typesense API to create a new collection based on your schema. You can do this by sending a request to the Typesense server. Here�s an example using `curl`:
```bash
curl -X POST "http://localhost:8108/collections" \
-H "X-TYPESENSE-API-KEY: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d @your_schema_file.json
```

Write a script to read the CSV file and import the data into Typesense. You can use a programming language like Python. Here's an example snippet using Python and the `requests` library:
```python
import csv
import requests
api_key = 'YOUR_API_KEY'
typesense_host = 'http://localhost:8108'
collection_name = 'your_collection_name'
with open('your_data.csv', newline='') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
response = requests.post(
f'{typesense_host}/collections/{collection_name}/documents',
headers={'X-TYPESENSE-API-KEY': api_key},
json=row
)
print(response.json())
```
Modify the script to match the structure of your data and your Typesense server configuration.

Once the data import is complete, verify that the data has been correctly added to your Typesense collection. You can do this by querying the Typesense collection through the API or using the Typesense Dashboard if available. Check for data accuracy and completeness.
By following these steps, you should be able to move data from Monday.com to Typesense effectively without using any third-party connectors or integrations.