This tutorial shows how to scrape Booking.com reviews into CSV with the Booking.com Reviews Scraper template for UScraper. You will import the workflow, set the export path, run a guarded pagination loop, and validate the rows.
Before you start
Prerequisites, scope, and Booking.com policy checks
You need UScraper installed as a local desktop app, a Booking.com property URL with visible reviews, and a folder for CSV exports. Start with one property because review modules can change by locale, sign-in state, cookie state, and dialog layout.
This guide covers supervised research exports from pages you can inspect in a browser. It does not cover private account areas, CAPTCHA bypassing, payment flows, or high-volume unattended collection. Read Booking.com's Terms of Use before automation.
Booking.com does publish official API documentation, but it solves a different problem than a quick CSV export. The Connectivity Guest Review API and its paginated retrieve reviews endpoint fit eligible partner workflows. The Demand API accommodation reviews endpoint is another official route for integrations.
Technical access is not permission. Keep runs modest, do not defeat access controls, and prefer approved API or partner access for commercial redistribution.
Workflow anatomy
What the Booking.com reviews scraper exports
The companion JSON is the authoritative workflow definition: open the hotel reviews area, wait for review cards, export each visible card, then look for a usable next-page control. If one exists, the workflow clicks it, waits, and returns to Structured Export.
The template graph is organized into five groups:
| Workflow group | Blocks involved | Purpose |
|---|---|---|
| Page load | Navigate, Wait for Page Load, Sleep, Wait for Element | Opens the hotel URL and waits for review cards. |
| Interaction | Inject JavaScript blocks | Scrolls toward reviews, opens all-review views when available, and marks the next-page button. |
| Data extraction | Structured Export | Appends rows to booking-jp-reviews-scraper.csv. |
| Pagination loop | Element Exists, Click, Sleep | Repeats export while a marked next button exists. |
| Control flow | End | Stops when no next page marker is present. |
The CSV fields focus on review-level analysis, not hotel search results. Expect hotel_name, review_url, category scores, reviewer_id, country, review_date, review_text, and review_score.
Runbook
How to scrape Booking.com reviews to CSV
Import the template
Open Booking.com Reviews Scraper, download the JSON, and import it into UScraper.
Replace the sample property
In Navigate, paste the Booking.com hotel URL you are allowed to process. Keep query parameters when they affect language or review display.
Confirm the reviews area
Run to the first wait block and make sure review cards are visible. Handle consent, cookie, or verification prompts manually.
Set the CSV destination
In Structured Export, change the save location to your project folder and keep headers enabled. Leave append mode on when pagination is connected.
Run one page, then loop
Export the first visible page, inspect the CSV, then let the pagination branch continue through additional review pages.
The template includes a maximum page counter to avoid infinite loops. Treat that cap as a safety guard, not a target volume.
Validation
Validate the export before using the review data
Open the CSV after the first page and compare it against the browser. Review text should belong to the reviewer, category scores should match the hotel's score block, and review_score should be the individual score when displayed.
| Symptom | Likely cause | Fix |
|---|---|---|
| Zero rows exported | Review cards did not render or a prompt covered the page | Handle the prompt and rerun one property. |
| Hotel scores repeat but review fields are blank | Structured Export can see page-level scores but not card-level text | Inspect the review card selector and update it against the live layout. |
| Review text looks mixed | Booking.com changed positive, negative, or title text structure | Compare one card line by line and adjust the review_text JavaScript column. |
| Pagination repeats rows | The next click did not advance the review page | Increase post-click sleep or retest the next selector. |
| Export stops early | Next button disabled, dialog closed, CAPTCHA shown, or safety cap reached | Resume manually only after confirming the browser state. |
API alternatives
Booking.com reviews API vs local scraper workflow
If your search starts with booking.com reviews api, decide whether you need contractual integration or a reviewable CSV. Official API routes are cleaner for eligible partners who need authentication, documented response shapes, polling, replies, and production reliability. Third-party APIs reduce maintenance, but add vendor terms, pricing, and custody questions.
UScraper fits a narrower job: an analyst needs a Booking.com review scraper tutorial that turns visible review pages into a local CSV without writing Python or running cloud infrastructure. You maintain selectors when markup changes, but you can see the browser, pause for prompts, and inspect fields first.
| Approach | Best fit | Trade-off |
|---|---|---|
| Official Booking.com APIs | Approved partner systems | Access and permitted use follow Booking.com's API terms. |
| Hosted scraper or review API provider | Cloud runs and datasets | Pricing, retention, and custody depend on the vendor. |
| Python scraper | Engineering control | You maintain code, browser automation, retries, and parsing. |
| UScraper template | Supervised CSV exports | You validate pages locally and update selectors when needed. |
FAQ
Booking.com review scraper FAQ
Next steps
Download the template and keep the cluster connected
Use the Booking.com Reviews Scraper template as the download path, then browse the broader UScraper template library for related travel workflows. The UScraper blog has more guides on local desktop scraping, CSV validation, and no-code workflow maintenance.