Connect Airparser and Chatfuel to Build Intelligent Automations
Enable Integrations or automations with these events of Airparser and Chatfuel
Enable Integrations or automations with these events of Airparser and Chatfuel
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.
List all Bots
Retrieve a list of all bots associated with your Chatfuel account.
Create Bot
Creates an empty bot
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Frequently Asked Questions
To start, connect both your Airparser and Chatfuel accounts to viaSocket. Once connected, you can set up a workflow where an event in Airparser triggers actions in Chatfuel (or vice versa).
Absolutely. You can customize how Airparser data is recorded in Chatfuel. This includes choosing which data fields go into which fields of Chatfuel, setting up custom formats, and filtering out unwanted information.
The data sync between Airparser and Chatfuel 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 Chatfuel. 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.
Learn MoreAbout Chatfuel
Chatfuel is a leading platform for building chatbots on Facebook Messenger and Instagram. It allows businesses to automate customer interactions, provide instant support, and engage users with personalized messaging.
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