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OpenAI (ChatGPT, Whisper)
Apify

Connect OpenAI (ChatGPT, Sora, DALL-E, Whisper) and Apify integrations

Discover powerful automation workflows that combine OpenAI's advanced AI capabilities with Apify's robust web scraping technology. These popular integrations help you automatically extract data, generate intelligent insights, and transform raw information into actionable content—all without manual effort.

Improve your data processing pipeline by connecting ChatGPT's natural language processing with Apify's scraping tools. From automated content analysis to AI-powered data enrichment, these workflows save time and help you get the most out of your web data.

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Create a custom workflow

Transform OpenAI's AI-generated content—from ChatGPT responses to DALL-E images and Sora videos—into automated web scraping workflows with Apify. Instantly capture, process, and extract data from AI outputs without manual work, creating end-to-end automation that turns artificial intelligence results into structured, actionable information at scale.

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
Apify
Action: Select an action
1. Select a trigger

  • Triggers when a batch is completed.

2. Select an action

  • Performs an arbitrary authorized API call.

  • Runs a selected Actor task.

  • Run a selected Actor.

  • Run a selected Actor.

  • Runs a scraper for the website and returns its content as text, markdown and HTML. This action is made for getting content of a single page, for example, to use in large language models (LLM) flows.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

When Apify serves as a trigger, it initiates automated workflows based on AI-generated outputs such as completed text responses, generated images, transcribed audio, or created videos. These AI outputs then trigger OpenAI (ChatGPT, Sora, DALL-E, Whisper) as an action, where the web scraping and data extraction tool automatically processes, collects, or stores the AI-generated content according to your configured automation scenario. This trigger-action integration enables you to automatically feed OpenAI's artificial intelligence outputs directly into OpenAI (ChatGPT, Sora, DALL-E, Whisper)'s web automation capabilities, creating workflows where AI-generated results immediately activate data collection, web scraping tasks, or structured data operations without manual intervention.

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
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
Delete a conversation
Deletes an existing conversation.
Action
Delete a response
Deletes an existing model response.
Action
Delete a skill
Deletes a skill. This action cannot be undone.
Action
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How to set up OpenAI (ChatGPT, Whisper) and Apify in 5 easy steps

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Step 1

Get your API token from Apify

Log into your Apify account and go to Settings, then Integrations. Click the '+ Add token' button, give your token a name you'll remember, and save it. Copy the token that appears - this is your secure key that lets Make connect to Apify.

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Step 2

Connect Apify to Make

Open Make and find the Apify module in your automation workflow. Click on it to open the connection window. Paste the API token you copied from Apify into the 'API token' field and click Save to establish the connection between the two platforms.

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Step 3

Set up automatic triggers for actor runs

Use the 'Watch Actor Runs' trigger in Make to automatically start your workflow whenever a specific Apify actor finishes its job. Give your trigger a clear name and choose which actor you want to monitor, so Make knows when to spring into action.

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Step 4

Monitor task completions

Add the 'Watch Task Runs' trigger to detect when specific tasks finish in Apify. This keeps your automation running smoothly by letting Make automatically respond the moment your scheduled or manual tasks complete their processing.

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Step 5

Pull data from your Apify datasets

Use the 'Get Dataset Items' module to bring information from your Apify datasets into Make. Enter your dataset ID and specify how many items you want to retrieve, making this data available for use in your automated workflow.

Supercharge your data workflows with AI-powered automation

Connect Apify and OpenAI (ChatGPT, Sora, DALL-E, Whisper) to automatically transform scraped web data into actionable insights, enriched content, and intelligent summaries without manual work.

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Automated AI-powered data analysis

Automatically fetch scraped data from Apify and process it through OpenAI's GPT models to generate insights, summaries, and intelligent analysis without manual intervention.

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Scalable content intelligence

Transform large volumes of web-scraped data from Apify into structured, actionable intelligence using ChatGPT's natural language processing capabilities at scale.

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Improve research workflows

Combine Apify's powerful web scraping with OpenAI's summarization to automatically extract, analyze, and deliver key information from any online source directly to your preferred platform.

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Better data enrichment

Enrich raw data collected by Apify with AI-generated descriptions, categorizations, and insights from ChatGPT to maximize the value of your scraped information.

Popular OpenAI (ChatGPT, Whisper) and Apify workflows

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

AI

Find YouTube videos in a channel, summarize with ChatGPT, and email results

Discover YouTube videos within a specific channel, get concise summaries with ChatGPT, and receive the results via email. This streamlined process ensures you quickly access valuable information in an easy and informative format, enhancing your productivity and decision-making.

Find YouTube videos in a channel, summarize with ChatGPT, and email results
Use template
AI

Find YouTube videos by keywords, summarize with ChatGPT, and email results

Discover relevant YouTube videos using keyword search, get concise summaries with ChatGPT, and receive the results via email. This streamlined process ensures you quickly access valuable information in an easy and informative format, enhancing your productivity and decision-making.

Find YouTube videos by keywords, summarize with ChatGPT, and email results
Use template
AI

Fetch dataset items from Apify and create a completion with ChatGPT, then add a row to Google Sheets

Automatically fetch dataset items from Apify, generate a completion with ChatGPT, and add the results to Google Sheets for streamlined data management.

Fetch dataset items from Apify and create a completion with ChatGPT, then add a row to Google Sheets
Use template
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FAQs

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By connecting OpenAI and Apify on Make, you can create powerful automated workflows that scrape data from websites using Apify's web scraping tools and then process that data with OpenAI's AI models. For example, you could automatically extract product reviews from e-commerce sites with Apify and use ChatGPT to analyze sentiment, generate summaries, or categorize the content. This integration eliminates manual data handling and lets you transform raw web data into actionable insights instantly, all within a single automated workflow.

The integration enables numerous practical use cases: automatically scrape competitor pricing data with Apify and use GPT-4 to generate market analysis reports; extract content from multiple websites and have ChatGPT rewrite it for your audience; use Apify to gather social media mentions and OpenAI to analyze brand sentiment; scrape job listings and use AI to match candidates with positions; or collect news articles with Apify and generate automated summaries with OpenAI. Make's visual workflow builder lets you set up these integrations without coding, connecting triggers, actions, and data transformations between both platforms.

No programming skills are required. Make provides a visual, drag-and-drop interface that allows you to build integrations between OpenAI and Apify without writing code. You simply select triggers (like when Apify completes a scraping task), add actions (such as sending the scraped data to OpenAI for processing), and map the data fields between applications. Make handles all the technical API connections and authentication in the background. However, if you do have coding experience, Make also offers advanced features like custom functions to further improve your workflows.

Make acts as the central automation hub that transfers data between Apify and OpenAI. When Apify completes a scraping task, Make can automatically trigger an OpenAI action, passing the scraped data directly to models like GPT-4, DALL-E, or Whisper depending on your needs. You can transform, filter, and format the data within Make before sending it to OpenAI, ensuring the AI receives properly structured input. The processed results from OpenAI can then be routed to other applications, stored in databases, or sent as notifications. Make also includes error handling, scheduling, and monitoring features to ensure your automated workflows run reliably 24/7.