We extract vacation rentals, dynamic pricing, availability calendars, amenities, and host intelligence from fewo-direkt.de. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Listings objects from fewo-direkt.de. All fields typed and schema-versioned.
"property_id": "2398472a", "title": "Chalet in the Bavarian Alps", "property_type": "Chalet", "bedrooms": 3, "bathrooms": 2, "max_guests": 6, "premier_host": true
| # | property_id | title | property_type | bedrooms | bathrooms | max_guests |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Fees objects from fewo-direkt.de. All fields typed and schema-versioned.
"property_id": "2398472a", "check_in": "2024-07-01", "check_out": "2024-07-07", "nightly_rate": 145.0, "total_price": 980.0, "cleaning_fee": 80.0, "currency": "EUR"
| # | property_id | check_in | check_out | nightly_rate | total_price | cleaning_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Availability Calendar objects from fewo-direkt.de. All fields typed and schema-versioned.
"property_id": "2398472a", "date": "2024-07-01", "available": false, "price_if_available": "None", "blocked_by_host": true, "last_updated": "2023-11-04T12:00:00Z"
| # | property_id | date | available | price_if_available | min_stay_requirement | blocked_by_host |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Host Details objects from fewo-direkt.de. All fields typed and schema-versioned.
"host_id": "h98234", "host_name": "Klaus Muller", "member_since": "2018", "response_time": "within an hour", "response_rate": 98.5, "premier_host_badge": true
| # | host_id | host_name | member_since | languages_spoken | response_time | response_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from fewo-direkt.de. All fields typed and schema-versioned.
"review_id": "r847592", "property_id": "2398472a", "reviewer_name": "Sarah T.", "stay_date": "August 2023", "rating": 5.0, "review_text": "Beautiful views and very clean."
| # | review_id | property_id | reviewer_name | stay_date | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Fewo-Direkt scraper handles the complex Expedia Group infrastructure: map-based pagination, dynamic pricing calendars, GraphQL APIs, and aggressive anti-bot protections.
Extract titles, descriptions, guest capacity, bedroom configurations, and full amenity lists for every listing.
Capture nightly rates based on specific check-in and check-out dates, including seasonal fluctuations.
Scan forward-looking calendars to identify booked dates, blocked dates, and minimum stay requirements.
Isolate cleaning fees, service fees, local taxes, and refundable damage deposits from the total price.
Extract structured boolean flags for WiFi, pools, pet-friendly status, parking, and specific kitchen appliances.
Track host response rates, response times, member tenure, and Premier Host badge status.
Extract full review text, star ratings, stay dates, and host responses across all paginated review pages.
Capture exact latitude and longitude coordinates exposed via map views for precise spatial analysis.
Monitor property positions for specific regional searches, dates, and guest count configurations.
Brief in. Clean data out.
Provide target regions, bounding boxes, or specific property IDs. We design the extraction schema together.
We configure GraphQL parsers, Datadome bypass proxies, and calendar scanning logic for fewo-direkt.de.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Fewo-Direkt employs sophisticated map-based pagination and Datadome protection. Here is how we maintain reliable extraction.
Expedia Group uses aggressive Datadome protections. Our crawlers use residential ISP proxies with realistic TLS fingerprints, randomised request timing, and automated token solving to maintain access.
Instead of fragile DOM scraping, we intercept and parse the underlying GraphQL responses for property details, pricing, and calendars, ensuring structural stability.
Standard search pagination limits results to 300 properties. We divide target regions into granular latitude/longitude bounding boxes to extract 100% of supply in high-density areas.
For daily calendar syncs, we maintain a hash index of last-seen availability. Subsequent runs only push diffs, reducing storage bloat and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, Datadome block rates, and schema drift.
Property managers monitor competitor pricing and availability to optimise their own nightly rates.
Analysts track supply density and property types across European regions to identify market trends.
Real estate investors calculate potential yields based on historical occupancy rates and seasonal pricing.
Agencies analyse host portfolios, review scores, and Premier Host distribution in specific geographies.
Hedge funds use forward-looking booking volumes as a proxy for consumer travel demand.
Travel aggregators combine vacation rental availability with flight data to build custom itineraries.
"Fewo-Direkt holds the definitive dataset for European vacation rentals, but accessing forward-looking availability and dynamic pricing requires solving complex map-based pagination and aggressive anti-bot systems."
Most teams underestimate the investment required to scrape Expedia Group properties. Reliable Fewo-Direkt extraction requires residential proxies, Datadome bypass capabilities, GraphQL parsing, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our fewo-direkt.de scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across DE regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About fewo-direkt.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated property, pricing, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review Expedia Group ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, realistic TLS fingerprints, and automated token solving. Our infrastructure is designed to bypass Datadome protections while maintaining high concurrency.
Yes. We can scan property calendars up to 365 days in advance to capture booked dates, blocked dates, and minimum stay requirements.
Pricing on Fewo-Direkt is highly dynamic. You define the specific check-in and check-out dates, and we query the exact rate for that configuration, including all granular fees.
Yes. We separate the base nightly rate from cleaning fees, service fees, local taxes, and refundable damage deposits.
Our smallest packages start at a defined region or property list with weekly delivery. For larger scans or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 100 properties as part of the pre-engagement scoping process so you can validate schema fit, field completeness, and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off property dump or a continuous price-monitoring feed across Europe, we scope, build, and operate the pipeline. Tell us what you need.
