Unlocking Airbnb Data: Explore the Capabilities of the Airbnb Scraper for Comprehensive Information Retrieval
The Airbnb Data Scraper excels in extracting extensive details from all listings, overcoming the limitations imposed by Airbnb's official channels. Unlike the website, which is capped at 300 results, and the API, restricted at 1,000 test results, this unauthorized Airbnb API breaks these barriers, providing access to all conceivable results. The scraper is designed to compile detailed particulars of Airbnb listings, covering ratings, prices, guests, locations, addresses, URLs, and reviews. Notably, it goes beyond surface-level information and extracts comprehensive data from Airbnb reviews, including comments, responses, names, ratings, languages, author IDs, posting times, and more.
This powerful tool allows users to obtain Airbnb pricing in different currencies, set specific price ranges, and specify checking-in or checking-out dates. Offering flexibility, the scraper supports scraping either individual listings or facilitates bulk data collection by pasting external links with URLs. This ensures efficient data extraction, and the results can be conveniently stored in formats like CSV or Google Sheets. Elevate your Airbnb data collection efforts with the adaptable and robust scraping capabilities of this tool.
What is the maximum number of results obtainable when using the Airbnb Data Scraper?
The Airbnb Data Scraper can retrieve a maximum of 10,000 results. However, it's crucial to note that extracting xxx.site.com introduces variables, causing results to vary. There is no universal number due to factors like input complexity, location, and website-specific limits. Some scenarios include website variations based on input type, internal limits set by the website, and potential limits within the scraper, which are continually improved. While Actor tests ensure benchmarks, fluctuations may occur. For your specific use case, conducting a test is the most accurate way to determine the scraping capabilities of the Airbnb Data Scraper.
How much would extracting Airbnb data cost you?
Determining the cost of scraping Airbnb data can be complex due to varying use cases. To estimate, conduct a test extraction with limited input and output using the Airbnb Data Scraper. Multiply the resulting pricing per scrape by the intended total scrapes for accurate cost assessment.
How could you use extracted Airbnb data?
Are you looking to improve your strategies in the travel industry? Here are some ways you can leverage the extracted Airbnb data to gain valuable insights and stay ahead of the competition:
1. Monitoring Airbnb listings: Keep a close eye on the latest prices and updates for listing in the preferred location. This information can help you adjust your pricing strategies and stay competitive.
2. Predict prices: Forecast prices for upcoming tourist seasons by analyzing historical scraped Airbnb data. This can help you make informed decisions about pricing and avoid overcharging or undercharging your customers.
3. Analyze industry trends and get competitive intelligence: Identify evolving trends and get competitive insights in the travel business. This information can help you adapt your pricing strategies accordingly to stay ahead.
4. Analyze customer preferences: Analyze customer preferences and expectations, covering factors such as pricing range, features, infrastructure, housing size, and more, using the extracted Airbnb data. This information can help you tailor your services to meet the specific needs of your customers.
5. Analyze reviews and sentiment: Utilize sentiment analysis on reviews to identify successful locations and gauge customer satisfaction. This can help you understand what guests appreciate and use that knowledge to enhance your offerings.
6. Identify popular locations: Pinpoint emerging common locations for targeting with new lodging or touring offers. Tailor your services to meet the demands of trending destinations and stay ahead of the competition.
7. Make informed decisions: Support decision-making processes, whether it's opening a new location or planning a visit to a place away from mainstream destinations, by relying on valuable data insights. This can help you make informed decisions and avoid costly mistakes.
By integrating the insights gained from scraping and analyzing Airbnb data into your decision-making processes, you can enhance your overall strategies and stay ahead of the competition in the travel industry.
How to extract Airbnb Place or Airbnb Destination?
There are a couple of approaches to scrape Airbnb data: by Place or by Destination.
By Destination:
Retrieve data from Airbnb's search result pages, offering comprehensive information on accessible listings in a town or city.
By Place:
Acquire detailed information from an individual rental listing, covering reviews, price, and availability. This method allows flexibility for adding numerous listings as required.
How to extract all the Airbnb listing within an area?
Scraping all the Airbnb listings within an area by Destination is straightforward. Simply input a city name, mimic an Airbnb search, and specify the desired results for scraping.
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Let’s go through its corresponding in JSON:
{
"locationQuery": "Sacramento, California",
"maxListings": 200,
"detailedScrape": true,
"includeReviews": true,
"maxReviews": 10,
"calendarMonths": 0,
"additionalHostInfo": false,
"currency": "USD",
"proxyConfiguration": {
"useReal Data APIProxy": true,
"proxyGroups": ["residential"]
},
"maxConcurrency": 50,
"limitPoints": 100,
"timeoutMs": 60000,
"debugLog": false,
"priceRange": {
"min": 20,
"max": 200
},
"checkInDate": "2022-08-09",
"amenitiesFilter": ["Wi-Fi", "Air conditioning", "Free parking"],
"propertyTypesFilter": ["Entire home/apt", "Private room"],
"superhostOnly": true,
"minGuestRating": 4.5,
"minHostResponseTime": "within an hour",
"minSuperhostReviews": 50
}
How to extract all information from one rental listing?
Obtaining information for a particular Airbnb listing is simple. Input an URL of home listing that you wish to extract. This parameter allows you to:
- Scrape a single URL (single Airbnb listing).
- Parallelly extract multiple URLs by adding additional URL fields.
- Paste the link in Google Sheets with your list of URLs for convenience.
- Use shortened or original URLs of abnb.me.
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Let’s go through its corresponding in JSON:
{
"detailedScrape": true,
"includeReviews": true,
"maxReviews": 10,
"calendarMonths": 0,
"additionalHostInfo": true,
"currency": "USD",
"proxyConfiguration": {
"useReal Data APIProxy": true,
"proxyGroups": ["residential"]
},
"maxConcurrency": 50,
"limitPoints": 100,
"timeoutMs": 60000,
"debugLog": false,
"priceRange": {
"min": 20,
"max": 200
},
"checkInDate": "2022-08-09",
"amenitiesFilter": ["Wi-Fi", "Air conditioning", "Free parking"],
"propertyTypesFilter": ["Entire home/apt", "Private room"],
"superhostOnly": true,
"minGuestRating": 4.5,
"minHostResponseTime": "within an hour",
"minSuperhostReviews": 50,
"startUrls": [
{
"url": "https://www.airbnb.com/rooms/30692949"
},
{
"url": "https://www.airbnb.com/rooms/40567123"
}
],
"maxListings": 200
}
Airbnb data results
The data results from Airbnb Data Scraper gets stored in a dataset. Upon completion of the run, you can retrieve a dataset in different formats such as CSV, XML, JSON, HTML, and RSS.
Output example (extract by Destination)
{
"listingDetails": {
"url": "https://www.airbnb.com/rooms/24402632",
"name": "RIAD BAB 23☀️ PISCINE CHAUFFÉE",
"averageRating": 4.85,
"capacity": 10,
"location": {
"city": "Marrakech",
"region": "Marrakech-Safi",
"country": "Morocco",
"coordinates": {
"latitude": 31.63399,
"longitude": -7.99043
}
},
"roomType": "Entire townhouse",
"reviews": [
{
"author": {
"firstName": "Jan",
"profilePicture": "https://a0.muscache.com/im/pictures/user/ef5ec630-b9d9-4b33-b8df-dd1220e7c24d.jpg?aki_policy=profile_x_medium",
"smartName": "Jan"
},
"comment": "Chloé's Riad BAB23 was a wonderful place to stay...",
"createdAt": "2023-01-20T15:50:54Z",
"rating": 5,
"hostResponse": null
}
],
"pricing": {
"rate": {
"amount": 260.4,
"currency": "USD",
"displayedPrice": 217
},
"rateType": "nightly",
"rateBreakdown": [
{
"date": "7/23/2023",
"price": 217
},
{
"date": "7/24/2023",
"price": 217
},
{
"date": "7/25/2023",
"price": 217
},
{
"date": "7/26/2023",
"price": 217
},
{
"date": "7/27/2023",
"price": 219
}
],
"nights": 5,
"totalPrice": {
"amount": 1302,
"currency": "USD",
"breakdown": {
"accommodation": 1087,
"cleaningFee": 54,
"guestFee": 161
}
}
},
"photos": [
{
"caption": "Patio Bab Vingt-Trois",
"imageUrl": "https://a0.muscache.com/im/pictures/807af64a-c3ba-4075-9b76-e1f09531c974.jpg?aki_policy=large"
},
{
"caption": "Patio Bab Vingt-Trois",
"imageUrl": "https://a0.muscache.com/im/pictures/ef9ae79b-f360-4a31-adf1-9eb4edede987.jpg?aki_policy=large"
}
],
"primaryHost": {
"id": 26426272,
"firstName": "Chloé",
"isSuperHost": true,
"profilePicture": "https://a0.muscache.com/im/pictures/user/b4110954-81a1-4358-adc8-4201b44154bc.jpg?aki_policy=profile_large",
"about": "Amoureuse de Marrakech, des voyages, de déco et de l’art de recevoir...",
"memberSince": "Joined in January 2015",
"languages": ["English", "Français", "Italiano"],
"responseRate": "100%",
"responseTime": "within an hour",
"badges": ["224 Reviews", "Identity verified"],
"hostUrl": "https://www.airbnb.com/users/show/26426272",
"listingsCount": 2
},
"additionalHosts": [
{
"id": 7002687,
"firstName": "Lambert",
"isSuperHost": false,
"profilePicture": "https://a0.muscache.com/im/pictures/user/3ed4129e-75c6-487b-b6a4-719cb8e6a6f7.jpg?aki_policy=profile_large",
"about": "",
"memberSince": "Joined in June 2013",
"languages": [],
"badges": [],
"hostUrl": "https://www.airbnb.com/users/show/7002687"
}
],
"isHostedBySuperhost": true
}
}
Limitations and Considerations for Airbnb Data Scraping
To execute the scraping process, the scraper divides the location and price range in smaller segments. This may result in additional crawling pages and an extended runtime for the actor.
The Airbnb Place field exclusively scrapes data from a precise listing URL. It cannot be applied to other URLs, like search result URLs.
Enhance Airbnb Data Scraping with Seamless Integrations:
Unlock the full potential of Airbnb Scraper by connecting it effortlessly to diverse cloud services and web apps using Real Data API platform integrations. Integrate smoothly with Zapier, Airbyte, Slack, GitHub, Make, Google Drive, Google Sheets, and more. Alternatively, utilize webhooks to initiate actions based on specific events, ensuring you stay informed, for example, when Airbnb Scraper effectively completes a run.
Utilize Airbnb Scraper using Real Data API Integration
Seamlessly integrate Airbnb Scraper using a Real Data API platform, offering programmatic access through RESTful HTTP terminations. Effectively manage, schedule, or execute Airbnb Scraper actors, access datasets, monitor performance, retrieve results, and perform version control. For Node.js, employ the Real Data API- customer NPM package, and for Python, leverage the Real Data API- customer PyPI package. Explore the comprehensive Real Data API documentation for detailed insights and access code examples on an API tab.
Explore More Travel Scrapers
Discover additional travel-related scrapers like Tripadvisor Scraper and Booking Scraper. Explore a Travel Category within the Real Data API Store for a diverse selection.
Customize Your Scraper
Looking for a specific solution? Customize your scraper with our Python, JavaScript, or TypeScript templates. Leverage Crawlee, an open-sourced library to build a scraper tailored to your needs. Keep it private or share it on the Real Data API Store. Need a customized solution? Reach out, and we'll assist you.
Share Your Feedback
Your insights matter. For technical feedback, bug reports, or suggestions regarding Airbnb Scraper, create a problem on an Actor's Issues tab within the Real Data API Console.
