PostgreSQL integration

Export Octoparse task data to PostgreSQL for structured storage, querying, and downstream analytics.

The PostgreSQL integration lets you export Octoparse task results into a PostgreSQL database. It is useful for teams that need reliable structured storage for extracted web data.

When to use PostgreSQL

Use PostgreSQL when:

• Data needs to support analytics or reporting
• Your team already uses PostgreSQL as a central data store
• Extracted records need to be joined with other datasets
• Data volume is too large for spreadsheet workflows
• Recurring exports need a database destination

Setup workflow

1. Prepare the destination table

   Define the columns that should receive Octoparse fields.

2. Check access details

   Confirm host, port, database name, user credentials, and network access.

3. Map task fields

   Match each extracted field to the correct PostgreSQL column.

4. Run a test export

   Verify that records are inserted correctly and that special characters display as expected.

5. Schedule or automate

   Enable recurring export only after the test output is correct.

Things to verify

Check	Why it matters
Column names	Prevents mapping errors
Data types	Avoids failed inserts or truncated values
Primary keys	Helps control duplicate behavior
Permissions	Ensures the export user can write data
Network rules	Allows Octoparse to connect to the database
Encoding	Preserves non-English characters and symbols

For production workflows, coordinate with the database owner before enabling recurring exports.