How to connect Google Dialogflow ES and Apify
Create a New Scenario to Connect Google Dialogflow ES and Apify
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Dialogflow ES, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Dialogflow ES or Apify will be your first step. To do this, click "Choose an app," find Google Dialogflow ES or Apify, and select the appropriate trigger to start the scenario.

Add the Google Dialogflow ES Node
Select the Google Dialogflow ES node from the app selection panel on the right.

Google Dialogflow ES
Configure the Google Dialogflow ES
Click on the Google Dialogflow ES node to configure it. You can modify the Google Dialogflow ES URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Apify Node
Next, click the plus (+) icon on the Google Dialogflow ES node, select Apify from the list of available apps, and choose the action you need from the list of nodes within Apify.

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Apify
Authenticate Apify
Now, click the Apify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Apify settings. Authentication allows you to use Apify through Latenode.
Configure the Google Dialogflow ES and Apify Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Dialogflow ES and Apify Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

JavaScript
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AI Anthropic Claude 3
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Apify
Trigger on Webhook
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Google Dialogflow ES
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Dialogflow ES, Apify, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Dialogflow ES and Apify integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES and Apify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Dialogflow ES and Apify
Apify + Google Dialogflow ES + Google Sheets: Apify scrapes product data from a website. Google Dialogflow ES uses this data to detect the intent of user questions and provide answers. The questions and answers are logged in a Google Sheet.
Slack + Google Dialogflow ES + Apify: A user asks a question in Slack. If Google Dialogflow ES can't answer, Apify scrapes a website for an answer and posts a summary to the Slack channel.
Google Dialogflow ES and Apify integration alternatives
About Google Dialogflow ES
Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.
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About Apify
Use Apify in Latenode to extract web data at scale for lead generation, market research, and more. Apify handles complex scraping, while Latenode orchestrates the data: trigger workflows, transform results with AI, and send data to any app. Automate web actions visually and affordably.
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See how Latenode works
FAQ Google Dialogflow ES and Apify
How can I connect my Google Dialogflow ES account to Apify using Latenode?
To connect your Google Dialogflow ES account to Apify on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Dialogflow ES and click on "Connect".
- Authenticate your Google Dialogflow ES and Apify accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically scrape product data based on user queries?
Yes, you can! Latenode's visual editor and JavaScript support allow you to trigger Apify web scraping from Google Dialogflow ES intents, enriching bot responses with real-time data.
What types of tasks can I perform by integrating Google Dialogflow ES with Apify?
Integrating Google Dialogflow ES with Apify allows you to perform various tasks, including:
- Using conversational AI to initiate and manage web scraping tasks.
- Creating dynamic chatbot responses using scraped, real-time data.
- Automating data extraction based on user input via a chatbot.
- Building lead generation bots that collect contact information.
- Enriching chatbot interactions with up-to-date product information.
How can I manage Dialogflow ES intents directly from Latenode?
With Latenode, you can trigger Dialogflow ES intent updates via Apify data. This keeps your bot current without constant manual edits.
Are there any limitations to the Google Dialogflow ES and Apify integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex scraping logic may require JavaScript knowledge within Latenode.
- Apify usage is subject to their platform's usage limits and pricing.
- Real-time data display depends on the API response time of both services.