Learning Timeline
Key Insights
Image Copyright Risks
Scraping images directly from business websites is a 'gray area.' Make sure to review the website's Terms of Service or obtain permission from the owner before using their images for commercial purposes.
Benefits of Vision API Automation
Using Claude Vision for image 'data cleaning' is much more efficient than manual filtering, especially for filtering out logos or favicons that are frequently captured by mistake during the scraping process.
Estimated API Costs
Based on this workflow, the cost to process images via API is approximately $30 for large datasets, which is significantly more cost-effective than hiring human labor for the same task.
Prompts
High-Quality Image Filtering (Claude Vision)
Target:
Claude Vision
I am providing you with the top three image candidates scraped from a business website. Please analyze these images and identify the one that best represents the actual business location or trailer. Do not select logos, icons, favicons, or low-resolution/broken images. Return only the URL of the best high-quality image.
Step by Step
Workflow for Filtering High-Quality Images Using Claude Vision
- Launch a scraping tool (such as Crawl4AI or similar) to collect image URLs from the targeted business websites.
- Identify and extract at least the top 3 image candidates for each listing for the selection process.
- Open your integration platform or automation script and enter your Claude API Key to connect the Claude Vision service.
- Send the image data to the Claude Vision API for analysis.
- Use a specific prompt to instruct Claude to identify the most relevant images (e.g., storefront or product photos) and ignore low-quality images like logos, favicons, or broken links.
- Prepare a dedicated column in your spreadsheet (such as Google Sheets or Airtable) to receive the AI-filtered image output.
- Perform a visual check on the flagged columns (e.g., green columns) to ensure the selected image quality is consistent and professional.
