Accor Hotel Scraper

What does Accor Hotel Scraper do?

Accor Hotel Scraper collects structured hotel data for the Accor group — property name, address, coordinates, and star rating — for any city, ZIP code, or specific hotel you search. Enter a location, press Start, and download a clean table of Accor-family hotels. It is built for travel research, market mapping, and hospitality data pipelines.

The scraper covers the full Accor portfolio: Raffles, Fairmont, Sofitel, SLS, Delano, MGallery, Rixos, Mondrian, Pullman, Swissôtel, Angsana, Banyan Tree, Novotel, Mercure, Mama Shelter, Mantra, ibis, ibis Styles, ibis Budget, and more. Hotels from other chains are never mixed in.

Why use Accor Hotel Scraper?

• Whole-portfolio coverage — every Accor sub-brand in one dataset, filtered so no non-Accor hotels slip in.
• Clean, normalized output — consistent fields, no raw HTML, no duplicate rows; missing values are returned as null.
• Flexible input — search by hotel name, city, or postal code.
• Location-accurate — address, city, country, and coordinates for every matched property.
• Automation-ready — schedule runs, connect to Google Sheets, or pull results through the Apify API.

What makes this different

Accor's booking site is a client-rendered app that doesn't expose property data directly, so this Actor identifies Accor-family properties from public location data and attaches an all.accor.com booking link where one can be resolved — giving reliable, structured identity data for a portfolio most scrapers can't reach at all.

What data can you extract?

Field	Description
hotel_id	Property identifier
hotel_name	Hotel name
brand	Always Accor
source	Always official
source_url	Link to the hotel's booking page, when resolved
observed_at	Timestamp when the data was collected
check_in, check_out	Stay dates used for the search
length_of_stay	Number of nights
adults, children, rooms	Occupancy used for the search
address, city, country, postal_code	Property location
latitude, longitude	Coordinates
star_rating	Hotel class, when available
price, total_price, currency	Rate fields, returned when available
metadata	Extra source-specific details

How to use Accor Hotel Scraper

1. Open the Actor and go to the Input tab.
2. Enter a hotel name, an area / city, or a ZIP / postal code.
3. Optionally set check-in and check-out dates, guests, and rooms.
4. Set the output limit (start small to test, increase for wider searches).
5. Press Start.
6. When the run finishes, open the Dataset tab and export to JSON, CSV, or Excel — or connect via API.

Input parameters

Parameter	Type	Required	Default	Description
hotel	string	No	—	Exact or partial name of a specific Accor-family hotel.
area	string	No	New York (prefilled)	City or destination to discover hotels in.
zip_code	string	No	10001 when nothing else is set	Postal code to discover hotels near.
check_in	string	No	2 days from run date	Check-in date, YYYY-MM-DD.
check_out	string	No	2 nights after check-in	Check-out date, YYYY-MM-DD.
adults	integer	No	2	Adult guests.
children	integer	No	0	Child guests.
rooms	integer	No	1	Number of rooms.
currency	string	No	USD	3-letter currency code for rates.
limit	integer	No	5	Maximum hotels to return.

Output data

Each dataset item is one hotel. Fields that a given search cannot resolve are returned as null rather than guessed.

Example output item

{
  "hotel_id": "osm-w145427111",
  "source": "official",
  "source_url": "https://all.accor.com/booking/en/accor/hotels/sofitel-new-york-45-w-44th-st-new-york-ny-10036-usa",
  "observed_at": "2026-09-01T12:00:00.000Z",
  "hotel_name": "Sofitel New York",
  "brand": "Accor",
  "check_in": "2026-09-20",
  "check_out": "2026-09-22",
  "length_of_stay": 2,
  "adults": 2,
  "children": 0,
  "rooms": 1,
  "address": "45 West 44th Street",
  "city": "New York",
  "country": "US",
  "postal_code": "10036",
  "latitude": 40.755394,
  "longitude": -73.98144,
  "star_rating": 4,
  "price": null,
  "total_price": null,
  "currency": null
}

Usage examples

Look up one hotel

{ "hotel": "Sofitel New York" }

Discover Accor hotels in a city

{ "area": "Chicago", "limit": 15 }

Find Accor hotels near a postal code

{ "zip_code": "90015", "limit": 10 }

Tips for best results

• Use a specific hotel name when you want one property; use an area or ZIP to compare several.
• Increase limit for broader area searches — the default is tuned for a quick test.
• Well-known sub-brand names (Sofitel, Novotel, Pullman, Mercure, ibis, Fairmont) resolve most reliably.

Known limitations

• Live rate fields (price, total_price) are not consistently available for Accor properties and are frequently null.
• source_url is only populated when a matching all.accor.com booking page can be resolved.
• Coverage is strongest for well-known Accor sub-brands and major cities.

Integrations

Connect Accor Hotel Scraper to Google Sheets, Make, Zapier, Slack, or your own systems through the Apify API and webhooks. Schedule recurring runs to keep a property list current.

Export formats

Download results as JSON, CSV, Excel, or XML from the Dataset tab, or fetch them through the Apify API.

Frequently asked questions

How many hotels can I get per run?

As many as you set with limit, up to how many matching properties exist for that location.

Can I search by my own list of hotels or URLs?

You can run the Actor once per hotel name, or schedule a batch of runs. Direct URL input is not required — a hotel name is enough.

Why are some fields null?

The Actor never fabricates data. If a rate, booking link, or star rating cannot be resolved for a property, that field is returned as null.

Can I schedule this to run automatically?

Yes. Use Apify Schedules to run it hourly, daily, or weekly and send results to your storage or a connected app.

How fresh is the data?

Property identity and location are read at run time. Live rates, where returned, reflect the requested dates at run time.

Does it include hotels from other chains?

No. Results are filtered to Accor-family brands only.

Support

If a run fails or output looks wrong, open the Issues tab on the Actor's page with your input and the run ID. Fixes and questions are handled there.

Legal and responsible use

You are responsible for how you use the collected data, including compliance with applicable laws and data-protection rules such as GDPR where personal data is involved. Use this Actor for research and analytics — not to disrupt the target site.

Preview