Before proceeding, familiarize yourself with LinkedIn's terms of service and data access policies. LinkedIn restricts automated data scraping and emphasizes the importance of using their official APIs. Ensure that your approach complies with these policies to avoid violating terms.

Navigate to the LinkedIn pages you are interested in and manually collect the data. This might involve copying text, saving images, or taking notes. Focus on the data fields you need, such as company descriptions, job postings, and contact information.

Create a spreadsheet (e.g., using Microsoft Excel or Google Sheets) to organize the data you have collected. Use columns to represent different data fields such as Company Name, Location, Industry, and Description. This structured format will facilitate the import process into MySQL.

Once your data is organized in the spreadsheet, export it to a CSV (Comma-Separated Values) file. Most spreadsheet applications offer an option to save or export data as a CSV file. This format is widely supported and easy to import into databases like MySQL.

Set up your MySQL database to receive the data. Create a new database and a table structure that matches the data fields in your CSV file. You can use a MySQL client like MySQL Workbench to execute SQL commands such as:
```sql
CREATE DATABASE linkedin_data;
USE linkedin_data;
CREATE TABLE company_info (
CompanyName VARCHAR(255),
Location VARCHAR(255),
Industry VARCHAR(255),
Description TEXT
);
```

Use MySQL's `LOAD DATA INFILE` command to import the data from your CSV file into the MySQL table. Ensure the CSV file is accessible from your MySQL server, and then execute the following command:
```sql
LOAD DATA INFILE '/path/to/your/csvfile.csv'
INTO TABLE company_info
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\n'
IGNORE 1 ROWS;
```
Adjust the file path as necessary and ensure that the MySQL server has the necessary permissions to access the file.

After importing the data, verify that the data has been correctly imported by running SELECT queries on your MySQL table. Check for completeness and accuracy, ensuring no data was lost or misinterpreted during the import process. For example:
```sql
SELECT * FROM company_info;
```
Make any necessary adjustments or corrections to ensure data integrity.

By following these steps, you can manually transfer data from LinkedIn pages to a MySQL database while adhering to LinkedIn’s data policies and without using third-party connectors or integrations.