We extract hotel listings, dynamic pricing signals, room availability, amenities, and guest reviews from Accor. 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 accor.com. All fields typed and schema-versioned.
"hotel_id": "A043", "name": "Novotel London Blackfriars", "brand": "Novotel", "star_rating": 4, "latitude": 51.5055, "longitude": -0.1061, "check_in_time": "15:00", "address": "46 Blackfriars Road, London"
| # | hotel_id | name | brand | latitude | longitude | star_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Room Types & Rates objects from accor.com. All fields typed and schema-versioned.
"hotel_id": "A043", "room_id": "RM_EXEC_DBL", "room_name": "Executive Room with Double Bed", "bed_type": "Double", "max_occupancy": 2, "base_price": 245.5, "currency": "GBP", "breakfast_included": true
| # | hotel_id | room_id | room_name | bed_type | max_occupancy | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Availability Calendars objects from accor.com. All fields typed and schema-versioned.
"hotel_id": "A043", "date": "2026-09-15", "room_id": "RM_EXEC_DBL", "available": true, "stock_left": 4, "price": 289.0, "currency": "GBP", "minimum_stay": 1
| # | hotel_id | date | room_id | available | stock_left | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Amenities & Policies objects from accor.com. All fields typed and schema-versioned.
"hotel_id": "A043", "pool": true, "gym": true, "spa": false, "wifi": true, "pet_friendly": true, "parking": false, "restaurant": true
| # | hotel_id | pool | gym | spa | parking | wifi |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Guest Reviews objects from accor.com. All fields typed and schema-versioned.
"review_id": "REV_948271", "hotel_id": "A043", "rating": 4.5, "author": "J. Smith", "date": "2026-08-12", "trip_type": "Business", "title": "Excellent location and service", "language": "en"
| # | review_id | hotel_id | rating | author | date | trip_type |
|---|---|---|---|---|---|---|
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Our Accor scraper bypasses bot protection to extract real-time rates, availability, and property metadata across all brands in the Accor portfolio.
Extract listings for Raffles, Fairmont, Sofitel, Pullman, Novotel, Mercure, Ibis, and all other Accor brands.
Capture base rates, taxes, member discounts, and package deals across multiple currencies and dates.
Map room availability and stock depth over 365-day forward-looking windows for any property.
Extract detailed room descriptions, square footage, bed types, and maximum occupancy limits.
Collect guest ratings, written reviews, trip types, and management responses across all properties.
Capture exact latitude and longitude coordinates, addresses, and proximity to local landmarks.
Extract structured boolean fields for pools, gyms, parking, wifi, and pet policies.
Parse text and dates for refundable vs non-refundable rates and penalty windows.
Run intra-day pipelines to catch flash sales and dynamic pricing adjustments in real time.
Brief in. Clean data out.
Provide city names, hotel IDs, or brand filters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for accor.com.
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.
Travel sites deploy aggressive bot mitigation. Here is how we maintain data flow.
Accor uses advanced bot protection. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass blocks.
Accor pricing and availability calendars require JavaScript execution. We run full Playwright browser sessions to trigger API calls and hydrate dynamic price widgets.
Different Accor brands sometimes use different DOM structures. Our selector strategy uses multiple fallback chains to ensure consistent data extraction across the entire portfolio.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, price outliers, and coverage drops, responding before you notice.
Online Travel Agencies monitor direct-booking rates on Accor to ensure contract compliance and price parity.
Competing hotel groups track Accor pricing strategies to adjust their own dynamic rates and maximize RevPAR.
Analysts track new property openings, brand distribution, and room counts to evaluate market saturation.
ML teams use structured hotel descriptions and amenity lists to train travel recommendation engines.
Real estate investment trusts monitor review sentiment and pricing power to evaluate asset performance.
Large enterprises aggregate real-time availability to optimise corporate booking policies and negotiate bulk rates.
"Accor manages thousands of properties across dozens of brands globally. Their dynamic pricing engine is a goldmine for hospitality intelligence, provided you can extract it reliably."
Most teams underestimate the investment required: reliable Accor scraping requires residential proxies, full JavaScript rendering for booking engines, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our accor.com 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 and deduplication. Playwright handles JavaScript rendering and booking engine interactions.
We maintain pools of residential ISP proxies across global regions to emulate local searches and bypass geographic blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State is stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About accor.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Accor is generally permissible. DataFlirt targets only public, non-authenticated property, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should review Accor terms of service and consult legal counsel.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. We monitor for rate spikes in real time and trigger pool rotation automatically.
Yes. We can target the entire portfolio or filter by specific brands like Ibis, Novotel, Mercure, Pullman, Sofitel, or Fairmont.
We can extract forward-looking pricing and availability calendars up to 365 days in advance, depending on the property configuration.
Yes. We can configure the pipeline to request rates in local property currency or force conversion to USD, EUR, GBP, or other supported currencies via Accor platform parameters.
Our smallest packages start at a defined list of properties or cities with weekly delivery. For larger global tracking, we price based on volume and frequency.
Yes. We provide a sample run of up to 100 properties as part of the pre-engagement scoping process so you can validate the schema.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off property directory or continuous price-monitoring across thousands of hotels, we build and operate the pipeline. Tell us what you need.
