Connect OpenAI (ChatGPT, Sora, Whisper) and Apify integrations
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.
Triggers when a batch is completed.
Triggers when a video job is created.
Performs an arbitrary authorized API call.
Run a selected Actor.
Runs a selected Actor task.
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.
Fetches items from a dataset.
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Build your OpenAI (ChatGPT, Sora, Whisper) and Apify integrations.
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, 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, 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.
Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.
Analyzes images according to specified instructions.
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.
Creates and executes a batch of API calls.
Creates a new skill.
Creates a new immutable skill version.
Deletes an existing conversation.
Deletes an existing model response.
Deletes a skill. This action cannot be undone.
Popular OpenAI (ChatGPT, Sora, Whisper) and Apify workflows.
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.
How to setup OpenAI (ChatGPT, Sora, Whisper) and Apify in 5 easy steps
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.
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.
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.
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.
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.
Automatically fetch scraped data from Apify and process it through OpenAI's GPT models to generate insights, summaries, and intelligent analysis without manual intervention.
Transform large volumes of web-scraped data from Apify into structured, actionable intelligence using ChatGPT's natural language processing capabilities at scale.
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.
Enrich raw data collected by Apify with AI-generated descriptions, categorizations, and insights from ChatGPT to maximize the value of your scraped information.
FAQ
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.
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.
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