We extract property listings, dynamic availability calendars, nightly rates, amenities, and host intelligence from gites.fr. 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 gites.fr. All fields typed and schema-versioned.
"property_id": "G12345", "title": "Chalet Mont Blanc", "property_type": "Chalet", "capacity": 8, "bedrooms": 4, "surface_area": 120, "location_department": "Haute-Savoie"
| # | property_id | title | property_type | capacity | bedrooms | bathrooms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from gites.fr. All fields typed and schema-versioned.
"property_id": "G12345", "date": "2024-07-15", "available": false, "price_per_night": 250.0, "minimum_stay": 7, "cleaning_fee": 80.0
| # | property_id | date | available | price_per_night | minimum_stay | cleaning_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Host Data objects from gites.fr. All fields typed and schema-versioned.
"host_id": "H9876", "host_name": "Marie Dubois", "host_type": "Professional", "member_since": "2018", "response_rate": 98, "total_properties": 3
| # | host_id | host_name | host_type | member_since | response_rate | response_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from gites.fr. All fields typed and schema-versioned.
"review_id": "R55432", "property_id": "G12345", "reviewer_name": "Jean-Paul", "overall_rating": 4.8, "review_date": "2023-08-20", "stay_date": "August 2023"
| # | review_id | property_id | reviewer_name | stay_date | review_date | overall_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Rankings objects from gites.fr. All fields typed and schema-versioned.
"keyword": "Chamonix", "guests": 4, "position": 3, "property_id": "G12345", "promoted_badge": true, "displayed_price": 1800.0
| # | keyword | region | check_in_date | check_out_date | guests | position |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our gites.fr scraper handles every layer of the platform: property details, dynamic availability calendars, nightly pricing, host intelligence, and reviews - with JavaScript rendering and regional bot circumvention built in.
Titles, descriptions, surface areas, capacities, and detailed amenity lists across all property types.
Parse availability matrices and minimum stay requirements directly from the booking calendar widgets.
Capture seasonal rate cards, weekend supplements, cleaning fees, and security deposits.
Differentiate between private owners and professional agencies, including response metrics and portfolio sizes.
Extract exact latitude and longitude coordinates and department classifications for spatial analysis.
Pull full text reviews, categorical ratings, and host responses across all historical bookings.
Monitor organic position and promoted placement for specific regional searches and dates.
Extract direct CDN URLs for property images and virtual tour links.
Capture native French descriptions alongside multi-language localised text where available.
Brief in. Clean data out.
Provide target regions, property types, or specific URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for gites.fr.
Schema validation, null-rate checks, and calendar accuracy verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Scraping French travel aggregators requires bypassing regional blocks and parsing complex calendar payloads. Here is how we build resilient infrastructure.
Travel platforms aggressively block datacenter IPs. Our crawlers use French residential ISP proxies with realistic browser fingerprints to bypass regional geo-blocking and rate limits.
Availability data is loaded via asynchronous XHR requests. We intercept the raw JSON payloads to reconstruct accurate 12-month calendar views rather than scraping the DOM.
Host contact details often require click-to-reveal interactions. We automate Playwright sessions to trigger these elements and capture the decoded phone numbers.
Map locations are heavily nested in script tags. Our parsers extract exact latitude and longitude coordinates directly from the embedded map configurations.
For large property portfolios, we maintain a hash index of calendar states. Subsequent runs only push diffs - reducing compute cost and downstream processing load.
Property managers analyze competitor rates and seasonal adjustments to optimise their own pricing models.
Real estate investors track inventory density, average yields, and occupancy rates across specific French departments.
Booking platforms verify rate parity and calendar synchronization across competing channels.
B2B service providers identify professional hosts and multi-property managers for targeted outreach.
Analysts aggregate forward-looking calendar availability to predict regional tourism demand spikes.
Hospitality brands mine review text and amenity correlations to identify features that drive higher ratings.
"Gites.fr holds the most comprehensive inventory of rural French accommodation, but extracting standardized calendar and pricing data requires navigating complex AJAX payloads and regional bot protection."
Most teams underestimate the investment required: reliable gites.fr scraping requires French residential proxies, XHR interception for calendars, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our gites.fr 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 France. 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 gites.fr scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from gites.fr is generally permissible under applicable law. DataFlirt targets only public, non-authenticated property, pricing, and review data. We do not circumvent authentication walls or violate GDPR. Clients should review terms of service and consult legal counsel for specific use cases.
We intercept the raw XHR JSON payloads that populate the calendar widgets. This provides a highly accurate, structured view of availability and pricing for the next 12 to 24 months without relying on brittle DOM parsing.
Yes. While phone numbers are often obfuscated behind click-to-reveal buttons, we use Playwright to simulate user interactions and capture the decoded contact information.
We configure pipeline cadences based on your requirements. Real-time streaming pipelines achieve sub-60-minute latency for specific property sets, while full regional sweeps complete within a 12-hour window.
Yes. We parse the embedded map configuration scripts to extract precise latitude and longitude coordinates for spatial analysis and mapping applications.
Our smallest packages start at a defined regional scope or property list with weekly delivery. For larger catalogues or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 properties as part of the pre-engagement scoping process - so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off inventory dump or a continuous availability feed across 50,000 properties - we scope, build, and operate the pipeline. Tell us what you need.
