Accor sells hotelF1 and Raffles out of the same search box, and the two records do not carry the same fields. Forcing that portfolio into one schema is the whole job.
Name the brands, the countries or the individual RIDs, the fields you need and the refresh you want. We design the schema, fold the brand-by-brand vocabulary into one dictionary, build the crawler, run it, watch it and repair it when Accor moves its markup. You receive files rather than code: CSV, JSON or XLSX, or an endpoint your systems call, delivered by email, S3, SFTP or webhook, from a single pull to several runs a day.
Anti-bot handling, proxy rotation and CAPTCHA solving sit on our side of the line, and you never build or maintain that layer. We pace collection rather than lean on a live reservation system. Every row carries its RID, its language and its capture time, so consecutive deliveries stack into one series with nothing to reconcile at your end. A sample goes to you for approval before the full job starts.
Scope is agreed in writing first. These are the fields an Accor scraper can extract from public property pages.
Reviewer names and any other personal detail are dropped by default.
The ladder runs from hotelF1 and ibis budget through ibis, Novotel, Mercure and TRIBE up to Pullman, Swissotel, Movenpick, Sofitel, MGallery, Fairmont, Raffles and Orient Express, with the Ennismore lifestyle signs - SO/, The Hoxton, Mama Shelter, Mondrian, SLS, 25hours - alongside. They share a schema and little else. In one capital the amenity slot holds around fourteen spellings for a gym - Fitness center, Fitness room, Gym, a French label, the hotel's own branded name for it; pools add eight more. Meeting-room counts live in the label text instead of a number, and pets allowed and pets not allowed are both positive entries. That dictionary is most of the work in an Accor data feed.
Room naming splits the same way. An economy record offers Standard Room with 1 double bed; a lifestyle record offers COLLECTION KING, ICONIC and L'ATELIER across Room, Suite and Accessible tabs. The room product code behind each belongs to the hotel, not the group, so one code means different things at two addresses and every join runs through the RID.
There is litter in the list too. Star ratings are missing on a visible minority and include half-steps and zeros; some records carry no reviews yet; opening status is appended to the hotel name instead of living in a field; and a test property with a warning in its title sits in the live sitemap. Filtering that is our job.
What we leave alone: the reservation, profile, booking and my-stay paths are disallowed and we do not touch them, we sign in to no account, and Accor asserts database producer rights under French law, so an Accor scraping plan is scoped against it.
Accor is a French hospitality group, and all.accor.com is its own storefront rather than a marketplace: every property listed flies one of the group's own signs, owned, managed or franchised. The corporate site puts the portfolio at roughly 5,800 hotels and 880,000 rooms in more than 110 countries under 45+ brands, while the storefront's brand directory and its loyalty pages quote lower totals - a portfolio size copied off one page will not agree with the next.
Addressing is the good news. Every property carries a four-character RID, A7L5 being SO/ Paris, and its page sits at /hotel/RID/index.en.shtml. The same RID is reused for the hotel mailbox, the image files and the meetings funnel, and the page header publishes its machine keys beside it: brand code, brand label, main city, a V-prefixed city id, a P-prefixed country id, a loyalty participation flag and the time the page was built. An Accor scraper keyed on the RID survives renames, rebrands and translation.
Around the properties runs a destination tree - world, continent, country, region, department, city, district and place - numbered by its own rules at each level, so French departments, German regions and Australian districts share no code shape. City pages branch into twenty facet paths: budget-friendly, family-friendly, business, meetings-and-events, spa, pool, parking, pet-friendly, breakfast, eco-certified, resorts, apart-hotel, hostel, kitchen, fitness, jacuzzi, luxury and the three-, four- and five-star pages. Those lists cap out at three hundred hotels, which makes the tree a discovery layer rather than a census.
The storefront runs in seventeen languages behind a country selector holding a hundred countries, and each language publishes the whole property list, not a subset.
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The public Accor storefront prints no figure at all. Listings show a band of one to four euro symbols and stop there; every real number lives in the reservation funnel, a path closed in the robots file. So an Accor price data project starts with a written scope, and settles first what a comparable rate is.
Accor answers that in its own best price guarantee. A rival quote is matched only when it covers the same hotel, dates and length of stay, the same room type by category, size, beds and view, the same number of guests, and the same rate conditions - refundable or non-refundable, prepayment and deposit terms, room only or breakfast included, and the cancellation and change rules. Both totals must be built the same way, taxes, VAT and services counted on each side, and compared like channel with like: site against site, app against app. That clause is a ready-made key for any Accor rate comparison, written by the operator.
The exclusions matter as much. Group bookings above seven rooms, business rates, conference and seminar rates, staff and partner rates and opaque inventory fall outside it, and a negotiated corporate rate opens on a client code or access code in the advanced search, never on a public address. Accor even fixes the threshold: a gap counts only at five percent or five euros, whichever is larger.
Membership is the last axis. The ALL member rate runs up to ten percent, varies by brand and is bookable at roughly 4,500 of the group's hotels, so the participation flag on a record decides whether a member price exists at all.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
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.
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.
ScrapeIt is a managed web scraping agency. You are not buying a library, a proxy pool or a tool to keep alive: we design the schema, run the crawler on your schedule, monitor it and hand over documented output with a named contact who knows the project. Hospitality is a large share of the work, covering both intermediary storefronts and chain sites, so the distance between an operator's own catalogue and a reseller's listing is familiar ground here. Tell us which Accor brands and markets matter and how often, and we answer within one business day.
There is a real developer portal listing roughly twenty-six APIs under Content and referential, Search and Offer, Payment, Customer, Loyalty and Hotelier - Properties, Accommodations, Facilities, Medias, Hotel rates, Hotel policies, Hotel taxes and more. Registration is self-serve and hands you a test key quickly, but these are partner integrations: you build to Accor's requirements, test, certify and go live. The rate-side APIs return descriptions of rates and policies, and the one that returns live offers expects you to wire up Accor's hosted payment page, which makes it a booking integration rather than a research feed.
The property layer is fully public and we deliver all of it: identity and RID, brand, stars, address and coordinates, descriptions, room types with occupancy, surface, bedding and views, amenity lists, check-in and check-out, meeting capacities, surroundings with distances, media and both rating systems. What is not on a public page is the priced rate ladder - nightly rates, availability and the plan matrix behind a room sit in the reservation funnel, which is disallowed in the robots file. Member rates, corporate rates behind a client code and anything else behind a sign-in are off limits too. We say which half of your wish list is public during scoping, not after invoicing.
Either. The catalogue is enumerable: each language sitemap lists about 5,900 hotel pages, one per property, and every one of them resolves to a four-character RID, so a full sweep is a bounded job rather than an endless crawl. A narrower brief is usually cheaper and more useful - one brand, one country, one city and its facet pages, or a named compset of RIDs. Destination pages are capped at three hundred hotels each, so wide coverage is driven from the property list and the geography tree is used for context, not as the source of truth.
From a one-off extract to several runs a day, on whatever cadence your use case justifies. Descriptive fields move slowly - descriptions, room types, amenities and capacities are worth a weekly or monthly pass - while review counts, scores, openings, closures and rebrands reward a daily one, and each page carries a generation timestamp that makes staleness visible. Output is CSV, JSON or XLSX, or an endpoint your systems call, sent by email, S3, SFTP or webhook, with a stable column order so files from different weeks stack without rework.
We collect public pages only. We do not sign in, we do not touch the reservation, profile, booking or my-stay paths that the robots file disallows, and we do not solve for member or negotiated rates that only exist behind an account or a contract code. Personal data - reviewer names, staff mailboxes, anything identifying an individual - is dropped by default. Accor's legal notice claims database producer rights under the French Intellectual Property Code, which restricts substantial and repeated extraction, so we scope each project against that notice and tell you plainly when a request falls outside it.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 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.
Step 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.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
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