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Data store
OpenAI (ChatGPT, Whisper)

Connect Data store and OpenAI (ChatGPT, Whisper)

Explore ready-made Data store and OpenAI (ChatGPT, Whisper) templates and start automating in minutes.

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Create a custom workflow

Integrate Data store with OpenAI (ChatGPT, Whisper) and automate the work that moves between them — no code required.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

OpenAI (ChatGPT, Whisper)
Trigger: Watch batch completed
Data store
Action: Select an action
1. Select a trigger

  • Triggers when a batch is completed.

2. Select an action

  • Adds or replaces a record in the data store.

  • Checks if a specific record exists in the data store.

  • Returns the count of all the records in the specified Data store.

  • Deletes a specific record from the data store.

  • Deletes all records from the data store.

  • Retrieves a specific record from the data store.

  • Updates a record in the data store

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Explore what you can automate between Data store and OpenAI (ChatGPT, Whisper).

Add/replace a record
Adds or replaces a record in the data store.
Action
Analyze images (Vision)
Analyzes images according to specified instructions.
Action
Cancel a batch
Cancels an "in-progress" batch. The batch will be in status "cancelling" for up to 10 minutes, before changing to "cancelled", where it will have partial results (if any) available in the output file.
Action
Check the existence of a record
Checks if a specific record exists in the data store.
Action
Count records
Returns the count of all the records in the specified Data store.
Action
Create a batch
Creates and executes a batch of API calls.
Action
Create a skill
Creates a new skill.
Action
Create a skill version
Creates a new immutable skill version.
Action
Create a vector store or add files
Creates a new vector store and optionally adds files to it, or adds files to an existing vector store.
Action
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Popular Data store and OpenAI (ChatGPT, Whisper) workflows

Connect Data store and OpenAI (ChatGPT, Whisper) with Make. Automate manual tasks, sync real-time data, and build more efficient workflows.

AI

Automated Yellow Pages Lead Generation with BrowserAct

This template fully automates lead generation by scraping Yellow Pages, enriching the data, and scoring leads using AI. Important: Before starting, please read the Data Store Setup Guide to create the required database. Prerequisites: You must create a Google Sheet with two tabs: "Input" Tab Columns: DirectoryURL, Data_Limit, Keyword, Location, Status, RowID. "Results" Tab Columns: Company Name, Website, Lead Score, Summary, Phone, LinkedIn, Address, Email. How it works: Trigger: Watches a Google Sheet for a Yellow Pages URL. Scrape: BrowserAct scrapes the directory for businesses. De-duplicate: Checks a Data Store to ensure the domain hasn't been processed before. Enrich: BrowserAct scans the company website and extracts social links. Analyze: OpenAI classifies the business, extracts contacts, and scores the lead. Log: Saves the enriched data to a "Results" sheet. Apps used: BrowserAct, OpenAI, Google Sheets, Data Store. Customization: You can optionally add a Router after the AI module to send data to Salesforce, Slack, or Airtable.

Automated Yellow Pages Lead Generation with BrowserAct
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AI

Crypto Market Alerts

Get changes in the crypto market and receive alerts when you want them! BrowserAct makes it easy to get the changes in crypto when you want them. Everything is saved in Make! Choose your alerts in your own words using ChatGPT. There's no need for code or formulas to build your report. Get alerts on your schedule, right to Slack! This template was created by Reid Mosieur.

Crypto Market Alerts
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FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

Start by registering for Make. As a new Make user, you’ll automatically be assigned a free account. Once your account is set up, you can start creating your first scenarios. We recommend starting with our step-by-step video tutorial.

A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.

Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.

Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.