Begin by accessing your Pocket account. Use the export feature to download your data. Pocket provides an option to export your saved articles and links as an HTML file. Navigate to the Pocket website, go to the settings, and select the option for exporting your data. Save this file to your computer.

Open the HTML file using a text editor or an HTML parser. The data will be in a structured format, typically with tags containing titles, URLs, and other metadata. Use a scripting language like Python to parse the HTML content and extract the necessary information into a structured format like CSV or JSON. This will facilitate easy importation into Oracle later.

Before importing data into Oracle, define the table structure that will store the Pocket data. Access your Oracle database using SQL Developer or another client tool. Create a new table with columns matching the data extracted from Pocket, such as `Title`, `URL`, `Tags`, and `DateAdded`.

```sql
CREATE TABLE PocketData (
ID NUMBER GENERATED BY DEFAULT AS IDENTITY,
Title VARCHAR2(255),
URL VARCHAR2(2048),
Tags VARCHAR2(255),
DateAdded DATE
);
```

Once the data is in CSV or JSON format, convert it into SQL `INSERT` statements. This can be done using a scripting language. For each entry, generate an SQL statement that corresponds to the table structure defined in Oracle.

Example in Python:
```python
with open('pocket_data.csv', 'r') as file:
for line in file:
# Assume CSV format: Title, URL, Tags, DateAdded
title, url, tags, date_added = line.strip().split(',')
print(f"INSERT INTO PocketData (Title, URL, Tags, DateAdded) VALUES ('{title}', '{url}', '{tags}', TO_DATE('{date_added}', 'YYYY-MM-DD'));")
```

Establish a connection to your Oracle database. This can be done using Oracle SQL Developer, SQLPlus, or a programming language with Oracle database connectivity, such as Python with cx_Oracle.

Execute the SQL `INSERT` statements generated in the previous step. If using a script, ensure it connects to the database and executes each statement within a transaction. This ensures data integrity and allows for the rollback in case of errors.

Example in Python using cx_Oracle:
```python
import cx_Oracle

connection = cx_Oracle.connect(user="your_username", password="your_password", dsn="your_dsn")
cursor = connection.cursor()

insert_statements = [...] # Your generated SQL statements here

for statement in insert_statements:
cursor.execute(statement)

connection.commit()
cursor.close()
connection.close()
```

After the data has been imported into Oracle, verify that it has been correctly inserted. Run queries to check the data count and sample entries. This ensures that the data matches what was exported from Pocket.

```sql
SELECT COUNT() FROM PocketData;
SELECT FROM PocketData WHERE ROWNUM <= 10;
```

Correct any discrepancies by checking the original data and re-importing if necessary.

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