BUSINESS CHALLENGE
The client was searching to create amongst the biggest review databases through aggregating scattered hotel reviews and destinations in different sources. They provided some solutions with web page crawling however, problems started sneaking in as data mounted, provided they required new data frequently. In addition, total sources were progressively exponentially online as well as so was the data. Furthermore, they required reviews from different countries in different languages as well as images, author profiles, etc. from web pages as well as decided to extract hotels data with X-Byte Enterprise Crawling.
X-BYTE SOLUTION
All the historical data from all sources was scraped similar to incremental data when reviews got published. Data got de-duped before the delivery so merely new data gets uploaded. Different Machine Learning methods were employed to do adaptive crawling thus crawling active pages often than others. The website list was vigorously modified depending on the clients’ requirements. More than 20 million well-structured records were provided within 2 months period.
X-BYTE SOLUTION
Setting up the Crawler – The crawler was initially configured such that it could automatically scrape product price and essential data fields for present categories on a daily basis.
Data Template : A template was created utilizing data structuring based on the schema provided by the customer.
Delivery of Data : Without any manual input from either side, the closing data was supplied in an XML format through Data API regularly.
The dataset had all the information including comments, news timelines, most viewed articles, customer behaviour, etc. All of the scraped data was indexed using hosted indexing components, and search APIs were made available so that a client could get the results every few minutes.
X-BYTE ENTERPRISE CRAWLING ADVANTAGES
- Abstracted customers from technical essentials
- Development, as well as maintenance costs, have fallen to zero
- Only applicable data assisted the customer get market credibility and speeded growth figures
- Scalable platforms have taken care of higher data volumes without affecting the quality of data
