Scrape Accor Hotel Data Into Google Sheets | Actowiz Solutions

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Introduction

In today’s data-driven world, access to accurate and structured hotel data is essential for competitive analysis, marketing, and travel technology innovations. Actowiz Solutions, a leading provider of web scraping services, recently undertook a massive project to scrape and compile data from over 6,000 hotels listed on the Accor Hotels website into a structured Google Sheet format. This blog breaks down the entire process, highlighting the tools, techniques, and SEO strategies involved in this data scraping journey.

Why Scrape Hotel Data?
Web scraping hotel data empowers businesses and analysts to:

Monitor real-time room pricing trends
Understand global hospitality patterns
Collect accurate contact information for outreach
Compare hotel amenities and services
Support travel recommendation engines and booking platforms
Actowiz Solutions specializes in scalable hotel data scraping services tailored to extract data from global hotel directories like Accor.

Project Objective: Structured Data for 6,000+ Accor Hotels
The primary goal ...
... was to extract key information for each hotel listed on Accor’s global directory (https://all.accor.com/gb/world/hotels-accor-monde.shtml) and structure this data within a shared Google Sheet.

Target Data Points:
Hotel Name
Nightly Rate
Hotel Page URL
Address
City
Country
Phone Number
Email Address
Additionally, Actowiz Solutions included an optional but highly valuable phase: gathering each hotel's General Manager's name and their LinkedIn profile URL.

Step-by-Step Process to Scrape Accor Hotel Data

1. Project Planning and Site Structure Analysis
Actowiz Solutions began by analyzing the structure of the Accor Hotels directory. The directory categorizes hotels by continent, country, and city. Each hotel listing leads to a dedicated hotel page containing comprehensive information.

2. Identifying HTML Tags and Patterns
The team inspected HTML patterns using tools like Chrome DevTools to identify consistent selectors for hotel names, rates, addresses, and contact details. Dynamic elements were detected and handled with headless browsers like Puppeteer or Selenium.

3. Automating Data Extraction Scripts
Using Python with libraries such as BeautifulSoup, Scrapy, and Selenium, custom scripts were written to:

Navigate through all hotel listings
Extract relevant data points
Avoid duplicate entries
Handle pagination and dynamic loads

4. Cleaning & Structuring the Data
Data was cleaned using Python pandas to remove extra spaces, unify formats (e.g., currency), and validate emails and phone numbers.

5. Uploading to Google Sheets
Actowiz Solutions automated the upload using the Google Sheets API to sync the data in real time. The final output was stored here:

Google Sheet Sample Output

6. Optional Task: Extracting LinkedIn Details
To go a step further, Actowiz Solutions used a separate scraping phase and third-party LinkedIn search APIs to gather:

General Manager's Full Name
LinkedIn Profile URL
This extra layer of data is valuable for B2B outreach and hotel executive research.

Sample Data Format (As Delivered)
Here’s a snippet of how the structured data appeared in the sheet:

Hotel Name: Sofitel Bahrain Zallaq Thalassa sea & spa

Nightly Rate: 269.23$AU

URL: https://all.accor.com/hotel/6722/index.en.shtml

Address: 105 Zallaq Highway, Building 2015, Block 1055, Zallaq 5554 MANAMA Bahrain

City: Manama

Country: Bahrain

Phone: +973 1763 6363

Email: H6722@sofitel(.com)

Challenges Encountered
Rate Variability
Nightly rates changed dynamically based on region, date, and availability. Actowiz implemented dynamic selectors and fallback strategies.

Anti-bot Mechanisms
To bypass detection, techniques such as rotating proxies, user-agent randomization, and browser mimicry were used.

Multi-language Support
While the default page was in English, several pages redirected to localized versions. Language settings were standardized across scraping sessions.

Challenges-Encountered
Technologies Used
Scrapy: Framework for large-scale crawling
Selenium & Puppeteer: For handling JavaScript-heavy hotel pages
Python Pandas: Data wrangling and formatting
Google Sheets API: Real-time data uploads
LinkedIn Search APIs: For General Manager data
Technologies-Used

Benefits of Hotel Data Scraping
Actowiz Solutions enables clients to:

Build global hotel directories and comparison platforms
Track hospitality trends across regions
Engage hotel decision-makers directly
Fuel AI-based recommendation engines
Simplify travel planning and analysis

Why Choose Actowiz Solutions for Hotel Data Scraping?
Actowiz Solutions enables clients to:

Custom Scraper Development: Tailored scripts per website structure
Scalable Solutions: From hundreds to millions of records
Real-time Updates: Schedule-based or API-based scraping
Data Delivery in Any Format: Excel, CSV, JSON, or direct integrations
Support for Multiple Countries: Expertise across global hotel platforms

Looking for similar data scraping services?
Get in touch with Actowiz Solutions for a tailored quote and sample data today! Contact Us Today!

Conclusion
Hotel data scraping, when done professionally, opens doors to immense business intelligence. Actowiz Solutions delivered a robust and structured dataset of over 6,000 hotels from the Accor Hotels directory, providing everything from contact info to nightly pricing. The data was not only structured into a clean Google Sheet but also enriched with optional executive-level contact info.

Learn More:https://www.actowizsolutions.com/accor-hotel-data-scraping-guide.php