How to connect OpenAI Vision and Scrapeless
Create a New Scenario to Connect OpenAI Vision and Scrapeless
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 OpenAI Vision, triggered by another scenario, or executed manually (for testing purposes). In most cases, OpenAI Vision or Scrapeless will be your first step. To do this, click "Choose an app," find OpenAI Vision or Scrapeless, and select the appropriate trigger to start the scenario.

Add the OpenAI Vision Node
Select the OpenAI Vision node from the app selection panel on the right.

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

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Authenticate Scrapeless
Now, click the Scrapeless node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Scrapeless settings. Authentication allows you to use Scrapeless through Latenode.
Configure the OpenAI Vision and Scrapeless 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 OpenAI Vision and Scrapeless 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.

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Trigger on Webhook
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Save and Activate the Scenario
After configuring OpenAI Vision, Scrapeless, 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 OpenAI Vision and Scrapeless integration works as expected. Depending on your setup, data should flow between OpenAI Vision and Scrapeless (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Vision and Scrapeless
Scrapeless + OpenAI Vision + Google Sheets: Automatically scrape images from a website using Scrapeless. Then use OpenAI Vision (this action is not available) to analyze the images and extract relevant data. Finally, save the extracted data into a Google Sheets spreadsheet.
Scrapeless + OpenAI Vision + Airtable: Monitor a competitor's website using Scrapeless. When changes are detected, extract new images. Then use OpenAI Vision (this action is not available) to analyze these images. Finally, update an Airtable record with the analysis results.
OpenAI Vision and Scrapeless integration alternatives
About OpenAI Vision
Use OpenAI Vision in Latenode to automate image analysis tasks. Detect objects, read text, or classify images directly within your workflows. Integrate visual data with databases or trigger alerts based on image content. Latenode's visual editor and flexible integrations make it easy to add AI vision to any process. Scale automations without per-step pricing.
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About Scrapeless
Use Scrapeless in Latenode to extract structured data from websites without code. Scrape product details, news, or social media feeds, then pipe the data into your Latenode workflows. Automate lead generation, price monitoring, and content aggregation. Combine Scrapeless with Latenode's AI nodes for smarter data processing.
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See how Latenode works
FAQ OpenAI Vision and Scrapeless
How can I connect my OpenAI Vision account to Scrapeless using Latenode?
To connect your OpenAI Vision account to Scrapeless on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Vision and click on "Connect".
- Authenticate your OpenAI Vision and Scrapeless accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically identify objects in scraped images?
Yes, you can! Latenode's visual editor makes it easy to send scraped images to OpenAI Vision for analysis, triggering actions based on the identified objects. Automate image-based workflows effortlessly.
What types of tasks can I perform by integrating OpenAI Vision with Scrapeless?
Integrating OpenAI Vision with Scrapeless allows you to perform various tasks, including:
- Automatically categorize products based on image analysis from scraped e-commerce sites.
- Extract text from images found during web scraping for content analysis.
- Monitor competitor websites for logo or branding changes using visual recognition.
- Validate image content on scraped job postings for compliance requirements.
- Detect specific objects in social media images scraped for market research purposes.
How accurate is OpenAI Vision’s image recognition within Latenode workflows?
Accuracy depends on image quality and the complexity of the visual content. Leverage Latenode’s data transformation tools to refine results.
Are there any limitations to the OpenAI Vision and Scrapeless integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of both OpenAI Vision and Scrapeless APIs apply to Latenode workflows.
- Complex image analysis tasks may consume a significant number of OpenAI Vision credits.
- Scrapeless success depends on website structure; changes can impact data extraction.