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Booking.com Hotel Price Tracker

An Apify actor that scrapes hotel prices from Booking.com across a configurable date range. Ideal for price monitoring, travel planning, and competitive analysis.

What it does

For each check-in date in your range, the actor:

1. Acquires fresh cookies via a headless Playwright browser to bypass basic bot detection.
2. Fetches search results using fast HTTP requests (not full browser rendering) for speed.
3. Extracts structured data from each hotel card: name, prices, discounts, deals, review scores, and links.
4. Pushes results to an Apify dataset in real time.

Input — Two Ways to Start

Option 1: Paste a URL (easiest)

Search on booking.com, copy the URL from your browser, and paste it into the bookingUrl field. The actor extracts destination, dest_id, and dest_type automatically.

Option 2: Enter Manually

Fill in destination (e.g., "Cardiff Center"), districtId (e.g., "1233"), and destType (e.g., "district"). You can find these in any Booking.com search URL.

Example Input — Using a URL

{
"bookingUrl":"https://www.booking.com/searchresults.html?ss=London+City+Centre&dest_id=-2601889&dest_type=city",
"numDays":14,
"currency":"GBP",
"maxPages":2,
"proxyConfig":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
}
}

Example Input — Using Manual Fields

{
"destination":"London City Centre",
"districtId":"-2601889",
"destType":"city",
"numDays":14,
"currency":"GBP",
"maxPages":2,
"proxyConfig":{
"useApifyProxy":true,
"apifyProxyGroups":["RESIDENTIAL"]
}
}

Output

Each record in the dataset contains:

{
"dateCaptured":"2026-03-26T12:00:00Z",
"hotelName":"Park Plaza Westminster Bridge",
"checkIn":"2026-04-01",
"checkOut":"2026-04-02",
"originalPrice":"£245",
"currentPrice":"£189",
"originalPriceNumeric":245.0,
"currentPriceNumeric":189.0,
"discountPercent":23,
"dealType":"Early 2026 Deal",
"reviewScore":"8.4",
"distance":"0.3 km from centre",
"currency":"GBP",
"destination":"London City Centre",
"hotelUrl":"https://www.booking.com/hotel/gb/...",
"searchUrl":"https://www.booking.com/searchresults.html?..."
}

Tips

• Use residential proxies. Booking.com is aggressive with bot detection. Datacenter IPs will get blocked quickly.
• Keep numDays reasonable. More days = longer runtime = higher costs. Start with 7 to test.
• Schedule runs for daily price tracking — Apify's scheduler works well for this.
• Export to Google Sheets or webhook for automatic dashboards.

Cost Estimate

With residential proxies: ~$0.10–$0.30 per run for 7 days × 1 page each, depending on retry rate.