Connect Airparser and Data Studio to Build Intelligent Automations
Enable Integrations or automations with these events of Airparser and Data Studio
Enable Integrations or automations with these events of Airparser and Data Studio
Actions
Extract Document Data
Upload a document by URL to Airparser and return the extracted data.
Upload file to Airparser inbox
Upload a file from a public URL into a chosen Airparser inbox. Optionally set a custom filename and metadata.
List documents
Fetch documents from a selected Airparser inbox for review or processing.
Fetch document
Retrieve the selected document’s parsed data, metadata, and image previews.
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Frequently Asked Questions
To start, connect both your Airparser and Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Airparser triggers actions in Data Studio (or vice versa).
Absolutely. You can customize how Airparser data is recorded in Data Studio. This includes choosing which data fields go into which fields of Data Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Airparser and Data Studio typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Airparser and Data Studio. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Airparser
Airparser is a GPT-powered data extraction tool. Extract structured data from PDFs, emails, HTML, texts, images and more.
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About Data Studio
Data Studio is a powerful tool by Google that allows users to transform raw data into informative, easy-to-read, and shareable dashboards and reports. It is designed to help businesses and individuals visualize their data in a way that is both meaningful and actionable.
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