Ving.no Scraper

Free tier available
The Thunderbit Ving.no Scraper allows you to extract structured data from Ving.no’s hotel and flight search results using AI-powered field suggestions. Effortlessly collect hotel names, prices, flight details, and more for travel research, price comparison, or data analysis. This tool is perfect for travel agents, market researchers, data analysts, and anyone needing organized Ving.no travel data.
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Monthly users17.8k
AI-Powered
Travel

The Thunderbit AI-Powered Ving.no Scraper is a Chrome extension that uses artificial intelligence to transform hotel and flight listings from into structured, downloadable data. With just a couple of clicks, you can extract hotel names, prices, flight details, and more—making travel research and data collection faster and more accurate than ever.

🏨 What is Ving.no Scraper

The is an AI Web Scraper designed to help you extract data from —one of Norway’s leading travel booking sites. Powered by Thunderbit’s advanced AI, this tool reads the content of hotel and flight search result pages, then automatically suggests the best columns to extract. All you need to do is visit the Ving.no page, click AI Suggest Columns, and then Scrape to get your data in a structured format.

Ving.no Homepage Screenshot

✈️ What can you scrape with Ving.no Scraper

With Thunderbit’s Ving.no Scraper, you can quickly collect detailed information from both hotel and flight search result pages. Here’s how you can use it for two of the most popular use cases:

🏨 Scrape Ving.no Hotels Search Result Page

Extract comprehensive hotel data from the in just a few steps. This is ideal for travel agents, researchers, or anyone comparing hotel options.

Ving.no Hotels Search Result Screenshot

Steps:

  1. Download the and register an account.
  2. Go to the .
  3. Click AI Suggest Columns to let Thunderbit recommend the best columns for extraction.
  4. Click Scrape to run the scraper, get your data, and download the file.

Column names

ColumnDescription
🏨 Hotel NameThe name of the hotel listed in the search results.
🌍 LocationThe city or area where the hotel is located.
💲 Price per NightThe nightly rate for the hotel room.
Star RatingThe hotel’s official star rating.
📝 DescriptionA brief summary or description of the hotel.
📷 Image URLThe main image of the hotel.
🔗 Hotel Page URLDirect link to the hotel’s detail page on Ving.no.
🛏️ Room TypeThe type of room being offered (e.g., double, suite).
🗓️ Available DatesThe dates for which the hotel is available.

🛫 Scrape Ving.no Flights Search Result Page

Collect detailed flight information from the for price comparison, travel planning, or market research.

Ving.no Flights Search Result Screenshot

Steps:

  1. Download the and register an account.
  2. Go to the .
  3. Click AI Suggest Columns to let Thunderbit recommend the best columns for extraction.
  4. Click Scrape to run the scraper, get your data, and download the file.

Column names

ColumnDescription
✈️ Flight NumberThe unique identifier for the flight.
🛫 Departure AirportThe airport from which the flight departs.
🛬 Arrival AirportThe airport where the flight lands.
🕒 Departure TimeScheduled departure time.
🕓 Arrival TimeScheduled arrival time.
💺 ClassThe travel class (e.g., Economy, Business).
💲 PriceThe ticket price for the flight.
🗓️ DateThe date of the flight.
🔗 Flight Page URLDirect link to the flight’s detail page on Ving.no.

💡 Why Use Ving.no Scraper Tool

Scraping Ving.no is valuable for a variety of professionals and purposes:

  • Travel Agents & Agencies: Quickly compare hotel and flight options for clients, saving hours of manual research.
  • Market Researchers: Analyze pricing trends, availability, and travel patterns across different dates and destinations.
  • E-commerce & Affiliate Marketers: Build travel comparison tools or content with up-to-date listings.
  • Travel Enthusiasts: Organize and compare options for personal trips in a spreadsheet.
  • Data Analysts: Gather large datasets for analysis, reporting, or integration with other travel platforms.

With Thunderbit’s AI-powered approach, you don’t need to write code or configure complex scrapers—just point, click, and collect.

🧩 How to Use Ving.no Chrome Extension

  1. Install the Thunderbit Chrome Extension: Download the and register your account.
  2. Navigate to Ving.no Hotel or Flight Search Results: Go to the or .
  3. Activate AI-Powered Scraper: Click AI Suggest Columns to generate column names or customize columns to meet your needs.

For more detailed guides, check out and .

💸 Pricing for Ving.no Scraper

Thunderbit uses a credit-based system:

  • 1 credit = 1 output row (e.g., 1 hotel or 1 flight).
  • Free Plan: Scrape up to 6 pages per month at no cost.
  • Free Trial: Scrape up to 10 pages for free when you start a trial.
  • Paid Plans: Start at $15/month for 500 credits, with significant discounts for yearly subscriptions (e.g., $9/month billed annually).
TierMonthly PriceYearly PriceYearly Total CostCredits/MonthCredits/Year
FreeFreeFreeFree6 pagesN/A
Starter$15$9$1085005,000
Pro 1$38$16.5$1993,00030,000
Pro 2$75$33.8$4066,00060,000
Pro 3$125$68.4$82110,000120,000
Pro 4$249$137.5$1,65020,000240,000

Tip: The yearly plan offers the best value and is currently discounted.
See all options on the .

❓ FAQ

  1. What is the AI Powered Ving.no Scraper?
    The AI Powered Ving.no Scraper is a Chrome extension that uses artificial intelligence to extract structured data from Ving.no hotel and flight search result pages. It automatically identifies relevant information, so you can download it as a spreadsheet for analysis or reporting.

  2. What is Thunderbit?
    Thunderbit is an AI-driven productivity tool that simplifies web scraping, data extraction, and automation. It’s designed for business users, marketers, researchers, and anyone who needs to collect data from the web without coding. Learn more at the .

  3. How do I get started with the Ving.no Scraper?
    Simply install the , register for an account, and navigate to the Ving.no page you want to scrape. Use the AI Suggest Columns feature to set up your extraction, then click Scrape.

  4. What data can I extract from Ving.no?
    You can extract hotel names, prices, star ratings, descriptions, images, room types, and more from hotel listings. For flights, you can collect flight numbers, departure/arrival airports, times, prices, and direct links to detail pages.

  5. How many pages can I scrape for free?
    On the free plan, you can scrape up to 6 pages per month. If you start a free trial, you can scrape up to 10 pages before needing to upgrade.

  6. What is a credit and how is it used?
    A credit represents one output row—such as one hotel or one flight. Each time you scrape a page, the number of rows extracted will determine how many credits are used.

  7. Can I customize the columns I want to extract?
    Yes, Thunderbit’s AI Suggest Columns feature recommends columns, but you can adjust or add columns to fit your specific needs before scraping.

  8. Is it safe and legal to scrape Ving.no?
    Thunderbit is designed to respect website terms and privacy. Always ensure your use complies with Ving.no’s terms of service and relevant data regulations. For more on ethical scraping, see .

  9. Where can I learn more about web scraping with AI?
    Check out the for tutorials, tips, and best practices, including and .

📚 Learn More

With Thunderbit’s AI-Powered Ving.no Scraper, you can turn travel listings into actionable data in just a few clicks—no coding, no hassle, just results.

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