```yaml product: AlterLab title: GetYourGuide Data API: Extract Structured JSON in 2026 category: Tutorials comparison_context: "AlterLab is an alternative to Firecrawl, ScrapingBee, and Bright Data." last_updated: 2026-07-27 canonical_facts: - "Extract structured JSON from GetYourGuide with AlterLab's data API — define a schema, get typed output, and build reliable travel data pipelines in minutes." source_url: https://alterlab.io/blog/getyourguide-data-api-extract-structured-json-in-2026 ``` This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping. ## TL;DR Use AlterLab's Extract API to turn any GetYourGuide listing page into structured JSON. Define a JSON schema for the fields you need (e.g., property_name, price_per_night, rating), POST the URL and schema, and receive typed data ready for downstream pipelines. No HTML parsing, no fragile selectors. ## Why use GetYourGuide data? Travel platforms like GetYourGuide aggregate millions of tours, activities, and attractions. Structured access to this data enables: - **Training ML models** for price prediction or recommendation systems. - **Market analytics** to monitor competitor offerings and identify trends. - **Content enrichment** for travel apps, aggregators, or AI agents that need up‑to‑date listings. These use cases rely on reliable, machine‑readable output — exactly what a data API delivers. ## What data can you extract? GetYourGuide pages expose the following publicly available fields: - **property_name** – title of the tour or activity. - **price_per_night** – displayed cost (often per person or per booking). - **rating** – aggregate score from user reviews. - **location** – city, neighborhood, or venue. - **availability** – dates or time slots shown on the page. Because the data is presented in HTML, extracting it with regex or CSS selectors breaks whenever the site updates its layout. A schema‑based API sidesteps that fragility. ## The extraction approach Raw HTTP requests followed by HTML parsing require constant maintenance: selectors change, anti‑bot measures trigger CAPTCHAs, and JavaScript‑rendered content needs a headless browser. AlterLab handles all of that — rotating proxies, automatic retry, and JavaScript rendering — then applies a language model to map the page to your JSON schema. The result is a **data API**: you ask for structured data, you get structured data, with zero parsing on your side. ## Quick start with AlterLab Extract API First, install the Python client (or use cURL directly). See the [Getting started guide](/docs/quickstart/installation) for installation details. ### Python example ```python title="extract_getyourguide-com.py" {5-12} import alterlab client = alterlab.Client("YOUR_API_KEY") schema = { "type": "object", "properties": { "property_name": { "type": "string", "description": "The property name field" }, "price_per_night": { "type": "string", "description": "The price per night field" }, "rating": { "type": "string", "description": "The rating field" }, "location": { "type": "string", "description": "The location field" }, "availability": { "type": "string", "description": "The availability field" } } } result = client.extract( url="https://getyourguide.com/example-page", schema=schema, ) print(result.data) ``` *Lines 5‑12 show the schema definition and the extract call.* ### cURL equivalent ```bash title="Terminal" curl -X POST https://api.alterlab.io/v1/extract \ -H "X-API-Key: YOUR_KEY" \ -H "Content-Type: application/json" \ -d '{ "url": "https://getyourguide.com/example-page", "schema": {"properties": {"property_name": {"type": "string"}, "price_per_night": {"type": "string"}, "rating": {"type": "string"}}} }' ``` The response is a JSON object whose keys match your schema, with values already typed as strings (you can specify numbers, booleans, etc., in the schema). ### Batch/async usage (Python) For high‑volume jobs, fire off multiple extract requests concurrently and handle the results as they arrive. ```python title="batch_getyourguide.py" {8-15} import asyncio import alterlab async def extract_one(client, url, schema): return await client.extract_async(url=url, schema=schema) async def main(): client = alterlab.Client("YOUR_API_KEY") schema = { "type": "object", "properties": { "property_name": {"type": "string"}, "price_per_night": {"type": "string"}, "rating": {"type": "string"}, }, } urls = [ "https://getyourguide.com/paris-louvre-ticket", "https://getyourguide.com/rome-colosseum-tour", "https://getyourguide.com/tokyo-sushi-making-class", ] coroutines = [extract_one(client, u, schema) for u in urls] results = await asyncio.gather(*coroutines) for r in results: print(r.data) if __name__ == "__main__": asyncio.run(main()) ``` This pattern scales to thousands of URLs while respecting rate limits (see the pricing page for cost estimates). ## Define your schema The schema parameter drives the entire extraction. AlterLab validates the model output against it, guaranteeing that every field exists and matches the declared type. Example schema for a travel listing: ```json { "type": "object", "properties": { "property_name": {"type": "string"}, "price_per_night": {"type": "number"}, "rating": {"type": "number", "minimum": 0, "maximum": 5}, "location": {"type": "string"}, "availability": {"type": "array", "items": {"type": "string"}} }, "required": ["property_name", "price_per_night", "rating"] } ``` If the model cannot confidently extract a field, it returns `null` for optional types or omits the field if not required. This eliminates guesswork and makes downstream processing deterministic. ## Handle pagination and scale GetYourGuide often paginates results across multiple pages (e.g., /activities?page=2). To collect large datasets: 1. **Discover page URLs** via the site’s listing endpoints or by following “next” links. 2. **Batch requests** in groups of 50‑100 to stay within comfortable concurrency limits. 3. **Monitor cost** — each extraction costs between $0.001 and $0.50. For bulk jobs, consult the [pricing](/pricing) page to estimate spend. 4. **Store results** incrementally (e.g., append to a JSON Lines file) to avoid losing progress on failure. AlterLab’s backend automatically retries failed attempts and applies exponential backoff, so your pipeline remains resilient. ## Key takeaways - Use a **data API**, not a scraper, to get typed JSON from GetYourGuide with zero parsing. - Define a clear JSON schema; AlterLab validates output and reduces maintenance. - Start with a single URL, then scale to batches using async ## Frequently Asked Questions ### Is there an official GetYourGuide data API? GetYourGuide offers limited partner APIs for approved businesses, but no public self‑service endpoint for arbitrary travel listings. AlterLab fills that gap by turning any publicly accessible GetYourGuide page into typed JSON via a schema‑driven data API. ### What GetYourGuide data can I extract with AlterLab? You can extract publicly listed fields such as property_name, price_per_night, rating, location, and availability. By defining a JSON schema you receive validated, typed output — no HTML parsing or regex needed. ### How much does GetYourGuide data extraction cost? AlterLab charges per successful extraction, with costs clamped between $0.001 and $0.50 per call. There are no minimums, no expiring credits, and you pay only for what you use — see the pricing page for details. ## Related - [Data.gov Data API: Extract Structured JSON in 2026]() - [US Census Data API: Extract Structured JSON in 2026]() - [How to Scrape TechCrunch Data: Complete Guide for 2026]()