How to Scrape Prices From Any Website (Products, Flights, SaaS)

Price scraping copies prices (and the details around them — plan names, specifications, availability) from a web page into a spreadsheet or database where they can be compared and tracked. The right method depends on how many pages you're watching and how often prices change — for most research work, a free no-code workflow covers it; for continuous monitoring, a platform does.

This guide covers the three places people scrape prices — e-commerce products, flights and SaaS pricing pages — with an honest note at the end about when you should not use an extension for this.

The methods at a glance

How to scrape prices with a browser extension

The no-code workflow, using our free extension as the example:

One capture takes under a minute. Re-capture next week and your Notion database accumulates a price history — dates included — without any infrastructure. This is the web scraper workflow; the table capture page covers the specifics of clean table extraction.

E-commerce products

Product grids and category pages are the classic case: select the grid, and each card arrives as a row — name, price, rating, URL. Two practical notes from real use:

• Capture the whole grid, not the page. Selecting the repeating cards keeps every row identical in shape, which is what makes the spreadsheet usable.
• Prices change; pages change too. Because each capture keeps its source link and date, you can always verify what a price was and where it came from — the part that matters for product research.

Flights and travel

Flight fares move hourly, which is exactly why a snapshot tool is the wrong choice for monitoring and a fine choice for comparing right now:

• Before booking: capture the fare grid (date, airline, price) from the results page into a sheet, compare across sites or days, decide. Travel research usually spans a few sites and a few days — snapshots fit.
• Continuous fare watching: you need a monitor that runs on a schedule and alerts you. That is Browse AI / Octoparse territory, or the airlines' own fare alerts — see the best web scraping tools for a comparison.

The honest boundary: an extension cannot watch a fare while you sleep. It makes the data collection you do dramatically faster.

SaaS pricing and free trials

Competitive intel on SaaS pricing is its own small discipline, because the interesting data is not just the number:

1. Capture the pricing table as structured rows (plan, price, billing period, key limits).
2. Capture a full-page screenshot of the pricing page — layout, trial messaging and enterprise tiers often matter more than the list price. Uniclip sends both to the same Notion database.
3. Note the free trial terms (length, card required, tier gating) in a field — the part competitors change most quietly.

Re-visit quarterly; the accumulated history tells you the story a single visit can't.

When you should not use an extension

• Thousands of pages on a schedule → use a cloud platform or code; the math is not close.
• Sites that forbid it → check the terms of service and robots.txt; public price data on a page you're viewing is one thing, bulk automated access is another. Respect both the rules and the site.
• You need alerts, not data → fare alerts and price-watch services solve that directly.

FAQ

Is scraping prices legal? Viewing and copying public information from pages you can access is generally fine; automated bulk access may conflict with a site's terms of service. For research volumes, manual-triggered extension captures sit on the safe, polite end. This is general information, not legal advice.

Can Uniclip track price changes automatically? No — Uniclip captures when you ask it to. Each capture is dated and sourced, so manual re-captures build a history, but it does not run on a schedule or send alerts.

Does it work on JavaScript-heavy pages? Yes — because Uniclip runs inside your browser, it sees the page exactly as you see it, after scripts have rendered the prices.