MARKET RESEARCH
Dynamic Pricing Capture with Visual Snapshot
Uses Browserbase to render JavaScript-heavy pricing pages (toggling monthly/annual), captures both the extracted values and a full-page screenshot, archives the image to R2.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule triggers dynamic-page capture
- ActionBrowserbase renders page, toggles billing, screenshotsBrowserbase
- ActionUpload full-page screenshot to R2 with dated keyCloudflare R2
- LogicCompare parsed prices to last stored values
- ActionRecord changed prices and screenshot link in CodaCoda
- OutputSlack alert with before/after and screenshot linkSlack
What it does
Handles the pricing pages that simple scrapers can't — the ones built with React where prices only appear after you click a monthly/annual toggle or expand a plan. It drives a real browser to reveal every price, captures the numbers plus a full-page screenshot for proof, and alerts on actual numeric changes.
When to use it
Reach for this when Firecrawl returns empty or partial pricing because the page is rendered client-side, or when you want a visual receipt of exactly what the competitor's page looked like on the day a price changed.
How it works
- 1A daily schedule triggers the capture for your dynamic pricing targets.
- 2Browserbase loads each page in a headless browser, toggles billing period and expands plans, then reads the rendered prices and takes a full-page screenshot.
- 3The screenshot is uploaded to an R2 bucket with a dated key for the visual archive.
- 4A logic step compares the freshly parsed numeric prices to the last stored values and isolates real changes.
- 5Changed prices are recorded with a link to the archived screenshot in Coda.
- 6A Slack alert fires with the before/after numbers and the screenshot link.
Set it up
What you configure once, before turning it on.
- 1Connect BrowserbaseHeadless browsers, sessions, replays.
- 2Connect Cloudflare R2Object storage, S3-compatible.
- 3Connect CodaDocs, packs, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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