Use Case

Price Data Extraction & Tracking

Extract structured pricing data from competitor screenshots using AI vision and OCR. Build price history databases and integrate with spreadsheets.

Overview

Competitor pricing pages are designed for humans, not APIs—dynamic layouts, JavaScript rendering, and anti-scraping measures make traditional HTML scraping unreliable. Screenshot-based extraction sidesteps all of that by capturing the fully rendered page and pulling structured data from the visual output.

Screenshotly captures competitor pricing pages as high-fidelity images, which you then feed into OCR or AI vision models (GPT-4 Vision, Claude Vision) to extract plan names, price points, feature lists, and promotional banners into structured JSON. Store the parsed data in a spreadsheet, Airtable base, or database to build a living price-history timeline.

E-commerce teams use this to build competitor price databases, SaaS companies track tier changes over time, and market researchers compile cross-industry pricing benchmarks. For the visual-diff and alerting pipeline itself, see the competitor-monitoring use case.

Key Benefits

Structured pricing data from visual captures

Price history tracking over time

Alerts on price changes via parsed data

Integration with spreadsheets and databases

Results You Can Expect

Structured

pricing data extraction

AI-powered

OCR & vision parsing

Historical

price history database

How It Works

Capture competitor pricing pages with Screenshotly

Extract price data using AI vision or OCR

Store results in a structured database or spreadsheet

Set threshold alerts on price changes

Generate pricing reports and trend analyses

Code Example

// Extract pricing data from competitor screenshots
const extractPricing = async (competitorUrl) => {
  const screenshot = await fetch('https://api.screenshotly.app/screenshot', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      url: competitorUrl,
      device: 'desktop',
      format: 'png',
    }),
  });

  const imageBuffer = await screenshot.arrayBuffer();
  const pricingData = await parseWithVision(imageBuffer);

  await saveToPriceHistory(competitorUrl, pricingData);

  if (await exceedsThreshold(competitorUrl, pricingData)) {
    await notifyTeam('Price change detected', pricingData);
  }
};

Frequently Asked Questions

How do I extract pricing data from a screenshot?

Capture the pricing page with Screenshotly, then pass the image to an AI vision model (GPT-4 Vision, Claude Vision) or an OCR service. Prompt the model to return plan names, prices, and feature lists as structured JSON. Store the result in your database or spreadsheet.

Can I build a price history database with this approach?

Yes. Schedule daily or weekly captures, extract the pricing data each time, and append it to a database table or Airtable base with a timestamp. Over time this gives you a complete price-history timeline for each competitor.

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