Connect Chatfuel and TextRazor to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Chatfuel
Choose an Action
Automatically do this!
Analyze Text
Enable Integrations or automations with these events of Chatfuel and TextRazor
Enable Integrations or automations with these events of Chatfuel and TextRazor
Actions
List all Bots
Retrieve a list of all bots associated with your Chatfuel account.
Create Bot
Creates an empty bot
Analyze Text
Processes and analyzes the provided text to extract entities, topics, and other linguistic features.
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- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
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Automate Instagram DM Replies, Reactions, and Team Alerts
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Frequently Asked Questions
To start, connect both your Chatfuel and TextRazor accounts to viaSocket. Once connected, you can set up a workflow where an event in Chatfuel triggers actions in TextRazor (or vice versa).
Absolutely. You can customize how Chatfuel data is recorded in TextRazor. This includes choosing which data fields go into which fields of TextRazor, setting up custom formats, and filtering out unwanted information.
The data sync between Chatfuel and TextRazor 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 Chatfuel and TextRazor. 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 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.
Learn MoreAbout TextRazor
TextRazor is a powerful natural language processing API that provides advanced text analysis capabilities. It allows users to extract meaningful insights from text data, including entity recognition, sentiment analysis, and language detection. TextRazor is ideal for developers and businesses looking to enhance their applications with AI-driven text analysis features.
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