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Connect to Google Search as a JDBC data source in HULFT Integrate
HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for Google Search, HULFT Integrate can work with live Google Search results. This article walks through connecting to Google Search and moving the data into a CSV file.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live Google Search results. When you issue complex SQL queries to Google Search, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Search and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Google Search results using native data types.
Enable Access to Google Search
To enable access to Google Search results from HULFT Integrate projects:
- Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.googlesearch.jar (and cdata.jdbc.googlesearch.lic), to the jdbc_adapter subfolder for the Integrate Server
- Restart the HULFT Integrate Server and launch HULFT Integrate Studio
Build a Project with Access to Google Search Results
Once you copy the JAR files, you can create a project with access to Google Search results. Start by opening Integrate Studio and creating a new project.
- Name the project
- Ensure the "Create script" checkbox is checked
- Click Next
- Name the script (e.g.: GoogleSearchtoCSV)
Once you create the project, add components to the script to copy Google Search results to a CSV file.
Configure an Execute Select SQL Component
Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.
- In the "Required settings" tab for the Destination, click "Add" to create a new connection for Google Search. Set the following properties:
- Name: Google Search Connection Settings
- Driver class name: cdata.jdbc.googlesearch.GoogleSearchDriver
- URL: jdbc:googlesearch:CustomSearchId=def456;ApiKey=abc123;
Built-in Connection String Designer
For assistance constructing the JDBC URL, use the connection string designer built into the Google Search JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.
java -jar cdata.jdbc.googlesearch.jar
Fill in the connection properties and copy the connection string to the clipboard.
To search with a Google custom search engine, you need to set the CustomSearchId and ApiKey connection properties.
To obtain the CustomSearchId property, sign into Google Custom Search Engine and create a new search engine.
To obtain the ApiKey property, you must enable the Custom Search API in the Google API Console.
- Write your SQL statement. For example:
SELECT Title, ViewCount FROM VideoSearch
- Click "Extraction test" to ensure the connection and query are configured properly
- Click "Execute SQL statement and set output schema"
- Click "Finish"
Configure a Write CSV File Component
Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.
- Set a file to write the query results to (e.g. VideoSearch.csv)
- Set "Input data" to the "Select SQL" component
- Add columns for each field selected in the SQL query
- In the "Write settings" tab, check the checkbox to "Insert column names into first row"
- Click "Finish"
Map Google Search Fields to the CSV Columns
Map each column from the "Select" component to the corresponding column for the "CSV" component.
Finish the Script
Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move Google Search results into a CSV file.
Download a free, 30-day trial of the CData JDBC Driver for Google Search and start working with your live Google Search results in HULFT Integrate. Reach out to our Support Team if you have any questions.