Booking.com Hotels Listing Scraper
Pricing
Pay per event
Booking.com Hotels Listing Scraper
Turn Booking.com search results into clean, structured hotel datasets. Capture pricing, ratings, reviews, room signals, cancellation flags, and location details to power travel analytics, competitive tracking, pricing intelligence, and recurring market research workflows..
Pricing
Pay per event
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ParseForge
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π¨ Booking.com Hotels Listing Scraper
π Last updated: 2026-05-05
Collect structured Booking.com hotel listing data from destination searches or direct Booking search URLs in minutes. This actor is built for travel analysts, pricing teams, market researchers, and operations teams that need clean listing data without manual browsing.
Use it to track hotel prices, compare ratings, monitor review volumes, analyze cancellation policies, and export listing data for reporting, benchmarking, and travel market research.
The Booking.com Hotels Listing Scraper returns 60+ structured output fields, including pricing, ratings, reviews, room offerings, policy flags, and listing-enriched metadata from Booking listing results.
β¨ What Does It Do
- π§ Collect listings using either destination search inputs or a direct Booking search URL (
startUrl). - π΅ Capture displayed price, original price, numeric price, currency, and pricing badges.
- β Extract ratings, rating labels, review counts, star ratings, and external review signals.
- ποΈ Parse room offering signals such as room type, occupancy, bed hints, and block pricing.
- π Capture address, city, coordinates, and distance-related fields for mapping and location analysis.
- β Extract policy fields like free cancellation, no prepayment, and sold-out indicators.
- π§© Return listing-enriched fields directly from Booking listing results without requiring hotel page scraping.
- π Use check-in and check-out dates so Booking returns more realistic pricing for your stay window.
π§ Input
- Start URL: Paste one Booking search result URL.
- Max Items: Maximum total listings to collect across the run.
- Destination: Search by destination using
search(or legacydestination) when not usingstartUrl. - Property Type: Filter by hotels, apartments, hostels, and more.
- Min Score / Stars / Price Range: Filter by review score, star count, and price range.
- Sort By: Choose Booking listing sort order.
- Check-in / Check-out: Provide stay dates for realistic listing prices.
- Adults / Children / Rooms / Children Ages: Adjust result set for your target traveler profile.
- Language / Currency / Flex Window: Control localization and date flexibility behavior.
- Include Filter Metadata: Include Booking filter/sorter metadata in output.
- Proxy Configuration: Configure networking behavior for larger runs.
Important mode rule:
- Use
startUrlor destination/filter inputs. - If both are provided, the actor returns an input error by design.
Example JSON input:
{"startUrl": "https://www.booking.com/searchresults.en-gb.html?ss=Paris&checkin=2026-04-01&checkout=2026-04-04&group_adults=2&no_rooms=1&group_children=0","maxItems": 50}
{"search": "Paris","checkIn": "2026-04-01","checkOut": "2026-04-04","adults": 2,"rooms": 1,"maxItems": 100,"minScore": "8.5","starsCountFilter": "4","currency": "USD","language": "en-gb"}
π Output
Download your results in CSV, Excel, or JSON.
| πΌοΈ Image URL | π Hotel ID | π¨ Hotel Name |
|---|---|---|
| π URL | π΅ Price | π± Currency |
| β Rating | π Reviews | π·οΈ Stars |
| π Location | ποΈ City | π Country |
| π§ Coordinates | β Free Cancellation | π³ No Prepayment |
| ποΈ Room Offerings | π§© Listing-Enriched Fields | β±οΈ Scraped At |
When available, the actor also returns richer listing fields such as distance metrics, discount/tax summaries, genius flags, sustainability hints, and room configuration metadata.
π Why Choose the Booking.com Hotels Listing Scraper?
This actor combines destination search mode and direct search URL mode in one flow, so you can collect both broad market snapshots and reproducible URL-based datasets without switching tools. It also includes listing-enriched fields from Booking listing results, giving you deeper output than basic title/price scrapers.
It is built for practical business workflows. You can filter by score, stars, price range, property type, date window, and guest profile, then export a flat dataset ready for pricing analysis, competitive benchmarking, destination intelligence, or travel reporting.
π How to Use
No technical skills required.
- Sign Up: Create a free account w/ $5 credit
- Open the Actor: Find the Booking.com Hotels Listing Scraper in the Apify Store.
- Set Your Input: Use
startUrlor destination/filter mode (not both). - Run the Actor: Start the run and let it collect listing data.
- Download the Results: Export your dataset in CSV, Excel, or JSON.
π― Business Use Cases
-
Travel Market Researchers
- Track hotel pricing shifts by destination and date windows.
- Compare rating distributions and review counts by property type.
- Build benchmark datasets for hotel demand and positioning analysis.
- Monitor cancellation and prepayment trends across destinations.
-
Revenue and Pricing Teams
- Compare competitor rate movements by neighborhood and stay period.
- Analyze listing-level discounts, badges, and policy signals.
- Export normalized datasets for BI dashboards and pricing models.
- Run recurring snapshots for trend detection and alerts.
β¨ Why choose this Actor
| Capability | |
|---|---|
| π― | Built for the job. Scoped specifically to this data source so you skip the parser engineering entirely. |
| π | Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines. |
| β‘ | Fast. Optimized request patterns return results in seconds, not minutes. |
| π | Always fresh. Every run pulls live data, so the dataset reflects the source as of run time. |
| π | No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage. |
| π‘οΈ | Reliable. Battle-tested across many runs and edge cases, with graceful error handling. |
| π« | No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. |
π Production-grade structured data without the engineering overhead of building and maintaining your own scraper.
π How it compares to alternatives
| Approach | Cost | Coverage | Refresh | Filters | Setup |
|---|---|---|---|---|---|
| β Booking.com Hotels Listing Scraper (this Actor) | $5 free credit, then pay-per-use | Full source coverage | Live per run | Source-native filters supported | β‘ 2 min |
| Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | π’ Days to weeks |
| Paid managed APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | β³ Hours |
| Third-party data dumps | Varies | Subset, often stale | Periodic | None | π Variable |
Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.
π How to use
- π Sign up. Create a free account with $5 credit (takes 2 minutes).
- π Open the Actor. Go to the Booking.com Hotels Listing Scraper page on the Apify Store.
- π― Set input. Configure the input fields in the form (or paste a JSON), then set
maxItems. - π Run it. Click Start and let the Actor collect your data.
- π₯ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.
β±οΈ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.
πΌ Business use cases
π Beyond business use cases
Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
π€ Ask an AI assistant about this scraper
Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:
- π¬ ChatGPT
- π§ Claude
- π Perplexity
- π Copilot
β Frequently Asked Questions
π³ Do I need a paid Apify plan to run this actor?
No. You can start right now on the free Apify plan, which includes $5 in free monthly credit. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. Create a free Apify account here to get started.
π¨ What happens if my run fails or returns no results?
Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our contact form and we will investigate. You can also check the run log in the Apify console to see why the run stopped.
π How many items can I scrape per run?
Free users are limited to 10 items per run so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to 1,000,000 per run. Upgrade here if you need full scale.
π How fresh is the data?
Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.
π§βπ» Can I call this actor from my own code?
Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.
π€ How do I export the data?
Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream them into BigQuery, S3, and other destinations through built-in integrations.
π Can I schedule the actor to run automatically?
Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.
π Integrate with any app
Booking.com Hotels Listing Scraper connects to any cloud service via Apify integrations:
- Make - Automate multi-step workflows
- Zapier - Connect with 5,000+ apps
- Slack - Get run notifications in your channels
- Airbyte - Pipe results into your warehouse
- GitHub - Trigger runs from commits and releases
- Google Drive - Export datasets straight to Sheets
You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.
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Browse our complete collection of data extraction tools for more.
π Ready to Start?
Create a free account w/ $5 credit and start collecting Booking listing data in minutes.
π Need Help?
- Check the FAQ section above for common questions.
- Visit the Apify support page for platform help and tutorials.
- Use our Tally contact form for custom solutions, requests, or issue reporting.
π Recommended Actors
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π‘ Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.
β Disclaimer
This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Booking.com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.