Charter Flight Data from 12 Danish Tour Operators: a Pilot in 2 Weeks
A paid pilot for a regional airport in Scandinavia: direct charter departures from 12 Danish tour operator sites, sampled in two weeks.
Sunweb Scraper for Holiday Destinations and Accommodation
The search is closed and the catalogue is open. For a tour operator the catalogue is the product anyway - which resorts, which hotels, which seasons.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
sunweb.nlwhat you get
Typical fields for travel sites
propertycitycheck_inroom_typepriceavailablerating
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
Managed holiday catalogue data, run end to end by us
- You send
Sunweb pages, filters, fields and a schedule
- We run the scrapers
Built, monitored and repaired by our team
- You receive the data
API, JSON feed or CSV, XLSX and JSON files
ScrapeIt runs the collection as a managed service. You name the seasons, programmes or destinations; we build the pipeline with season as a field, accommodation linked to resort and destination, and indicative prices labelled as such, and hand back CSV, JSON, Excel or a push into your warehouse.
Programmes change between seasons, so periodic collection with change records fits better than a daily crawl and is what we quote.
We collect published catalogue content and priced search results, and pace requests. We collect only publicly available data - everything a visitor can see on Sunweb - and we collect it legally.
Sunweb fields in every export
Destination records carry the country, region, resort, season and the programme type - sun or winter sports - along with the descriptive content published for each.
Accommodation records carry the property name, resort, category or star rating as published, board types offered, facilities and the distance information the operator gives, such as distance to the slopes or the beach.
Season is a first class field, because a tour operator's programme is built season by season and the same resort appears in different programmes with different accommodation for winter and summer.
Where a catalogue page shows an indicative from-price, it is collected with that label and never presented as a live search price. The distinction matters: an indicative price on a catalogue page is content; a priced search result is a live quote for one date, duration and party.
Every row carries the collection timestamp and the date the item first appeared in the programme.
Programme changes, resort coverage and limits
Programme change tracking is the strongest output: destinations, resorts and properties added or dropped between seasons, which is a direct read on an operator's strategy.
Resort coverage mapping answers which resorts a large operator sells and how deeply, measured by the number of properties it offers there - useful to destinations and to competing operators alike.
Accommodation profiling across the programme - categories, board types, facilities - describes the positioning of the product and how it varies between the sun and ski sides of the business.
The limits are clear. Indicative prices on catalogue pages are labelled as indicative and kept apart from priced search results. No customer data, no account access, no booking flows.
A tour operator's catalogue, and a priced search
- Source
- sunweb.nl
- Category
- travel sites
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
Sunweb is a Dutch tour operator selling package holidays and winter sports trips across several European markets, with a catalogue of destinations, resorts and accommodation built around sun and ski seasons.
The site has two public layers. The search - queries by date, duration, number of travellers and transport type - returns priced packages. The destination, resort and accommodation pages make up the catalogue.
For a tour operator most of the useful data sits in the catalogue. What a tour operator sells is a curated programme: which destinations, which resorts inside them, which hotels, for which seasons. That programme is published as catalogue content, and it is where the operator's commercial decisions are visible.
Category and destination pages respond directly with a great deal of content. The winter sports section alone is substantial.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
Sunweb scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhy the programme is the valuable part
The instinct on a travel site is to go after prices. For a tour operator, though, the priced search is not where the most useful information is.
A tour operator's programme is a record of decisions. Which destinations it sells, which resorts within them, which properties it contracts, and how that changes season to season is competitive intelligence for other operators, for hotels deciding who to work with, and for destinations tracking how they are being sold.
Those decisions are published as catalogue content, openly. Collected over time they show a programme growing into one region and shrinking out of another, a property dropped, a new resort added - movements that happen well before they show up in any booking data.
The second reason is the winter sports market specifically. Ski holidays are a distinct, seasonal and fairly concentrated market, and a large operator's catalogue of resorts and accommodation is one of the clearer structured views of it.
The third is price context. Priced search results by date, duration, number of travellers and transport type can be collected beside the programme, with indicative from-prices from catalogue pages kept in their own labelled field.
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How Artificial Intelligence Is Used In Web Scraping
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
What is Web Scraping and What is it Used For?
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
Who builds and keeps your holiday catalogue feed
ScrapeIt is a managed extraction company, not a tool you have to learn. Our team builds the pipeline, follows the programme as it is rebuilt for each season, and repairs the collector before a season change goes unrecorded.
You see a sample first, in your format, over the destinations you actually cover, with accommodation linked to resorts so you can judge the structure on a real programme.
FAQ
Still unsure? Write to info@scrapeit.io
Can you get holiday prices from search?
Yes. The search is public, and each priced result is collected with the date, duration, number of travellers and transport type that produced it. Those live quotes are kept apart from the indicative from-prices on catalogue pages.
What else is worth collecting?
The programme: which destinations, resorts and properties the operator sells, for which seasons. That is a record of commercial decisions, published openly, and tracked over time it shows strategy moving before it shows in any booking data.
What about the prices shown on catalogue pages?
Where a page shows an indicative from-price, we collect it with that label. It is catalogue content, and it is never presented as a live search price - the label keeps the two apart.
Why is season a separate field?
Because the programme is built season by season. The same resort appears in winter and summer programmes with different accommodation, and merging them hides the seasonal shape that is the whole point.
Does this cover other markets?
The operator runs editions for several European markets, and programmes differ between them. We collect editions as separate markets so a comparison between them is deliberate rather than accidental.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 3
Collect and deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
- 4
Maintain and support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files