Build a 24/7 AI Brand Monitor: Crontap + Replicate's Llama 3.1
Learn how to set up a brand monitoring AI agent, utilizing the power of Crontap for scheduling and Replicate's Llama 3.1 for sophisticated content analysis.
Make.com allows integrating Crontap schedules with Airtable. This can be used for data collection, data processing, and data visualization or anything in between!
👀 Looking for the Zapier guide? Please head over to the Zapier and Airtable guide ↗️ instead.
Crontap is capable of integrating with various services via webhooks.
Webhooks are the digital messengers that deliver real-time updates and data between applications, enabling seamless integration and automation. With webhooks, you can streamline processes, trigger custom actions, and revolutionize the way applications communicate and collaborate.
Still curios? Check out this in-depth article on webhooks.
Sign in to airtable.com and create a new base. Let's call it SpaceFlight News so we can easily identify it later.
Delete all existing rows & fields in the table and create the following fields:
This configuration is needed for the example we'll be using in this tutorial. Feel free to use your own configuration depending on what URL/API you've chosen to use in the Crontap schedule.
Let's head over to Make.com to connect with Airtable. Keep this tab open as we'll be coming back to it later to check if data is being sent to Airtable.
Sign in to the make.com platform and go to Scenarios.
Press the Add button (big plus in the middle) and select Webhook.
Press Create a webhook.
You should now see a Webhook URL. Copy this URL and let's jump over to Crontap. Keep this page open, we'll come back to it later.
It should look something like this:
Create a schedule or edit an existing one.
📝 Note: for the purpose of this tutorial, we'll be using a schedule that runs every 4 hours to get a space flight article. We'll use the Open API from SpaceFlight News - api.spaceflightnewsapi.net/v3/articles/19465.
Feel free to use the same url in your Crontap schedule.
On the schedule editing page, scroll down to the last section called Integrations.
on
the url of the schedule will be sent to make.com so you can display it in the notification etc. This is off by default in case the URL is sensitive.on
if you want to send a notification when the schedule succeeds. Keep in mind if you turn this on and have frequent schedules, you might hit the limit of make.com's free plan.
Now all that's left is to test it out!
If the schedule ran OK, you should see the button change to Test OK.
That's all that is needed in Crontap!
Let's head over to make.com to link it with Airtable
Now let's get back to the Make.com scenario we created earlier. Hope you still have the tab open!
Regardless if the schedule actually failed or succeeded, you should now see that make.com received the request.
press Create connection
the connection type should be Airtable OAuth.
give the connection a name, e.g. SpaceFlight News.
press Save, then
press Add a base
authorize by pressing Grant access
you should be redirected back to Make. Let's select the base and table we want to send data to.
let's configure data that goes into the table.
📝 All response data received by Crontap will be available under data
.
Open it up to verify all data you expect is there.
press OK.
finally, turn on Scheduling on the bottom left and
press the Save button on the bottom action sheet to save.
That's it! Next time the schedule runs, you should get a new entry in your Airtable table. 🎉
To keep this tutorial simple, we didn't go into detail on how to handle:
a Crontap schedule that returns e.g. a list of articles.
That is possible by using a loop or router in make.com
how to handle a failure in one of the schedules
That is possible by using a router in make.com
how to ensure that there are no duplicate entries in Airtable
That is possible by using **Upsert a record** instead of **Create a record** when setting up the Airtable integration in make.com
We'll dive into each of those topics in future guides.
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Learn how to set up a brand monitoring AI agent, utilizing the power of Crontap for scheduling and Replicate's Llama 3.1 for sophisticated content analysis.
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