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Booking Hotel Reviews

Kayleigh Gaddor
  • Updated

Data connector details

  • Categtory: Hospitality

  • Connector type: Cached

Description

Use the Booking Hotel Reviews connector to retrieve and analyze hotel reviews.

 

Data limitations

This data connector works with all booking.com global web sites.

 

Booking.com does not impose limitations on the amount of data that you can pull, but for very large hotels you may want to limit it yourself using the Comment Limit option or by narrowing the date range.

 

If you have issues with no data, try widening your date range on the second page of the wizard.

 

Input fields

When setting up the connector, you can filter your results by date.

 

  • Booking.com URL*: On the Booking.com web site, navigate to the hotel and from the address bar, copy the URL, then paste it into this field.

  • Add new search: To analyze multiple locations of the hotel or multiple hotels, click this as many times as needed to add more URLs.

  • Upload: Click to upload a file containing a list of product URLs. Takes a TXT file with one URL per line.
    (CSV is also acceptable, but it must have one URL per line.)

You can change your date range on the second page of the wizard, or optionally Schedule data crawls to update your data stream periodically.

 

Data dictionary

This connector uses the following fields that you can use in analysis. 

 

comment_tag

  • Description: User-selected tags regarding the type of traveler.

  • Category: meta

  • Example: Leisure trip, Solo traveller

comment_title

  • Description: Free-form title of the review. If none is provided, the first sentence of the review is used.

  • Category: text index

  • Example: The couple (Miguel and Vana) was very friendly and very...

content

  • Description: Free-form text of the review.

  • Category: primary text index

  • Example: The couple (Miguel and Vana) was very friendly and very helpfull,they make me feel like I was in my family's house. the location is perfect everything is near good shopings restaurants and amazing view from the apartment,I loved the decoration and I wanted to take the bed with me, very confy.everything was clean and very hygienic. The only small problem for me was that I had to park my car in a public parking but it's very close to the apartments, so it's not terrible

crawler_source

  • Description: Data source of the crawler.

  • Category: meta

  • Example: zr

hotel_address

  • Description: Address of the hotel.

  • Category: meta

  • Example: Rua de São Julião 116, Santa Maria Maior, 1100-526 Lisbon, Portugal

hotel_name

  • Description: Name of the hotel.

  • Category: meta

  • Example: Unique Design Apartments

hotel_url

  • Description: Booking.com URL of the hotel.

  • Category: meta

  • Example: https://www.booking.com/reviews/pt/hotel/unique-design-apartments.en-gb.html

rating

  • Description: Rating value on a scale of 1 to 10 left by the reviewer.

  • Category: KPI

  • Example: 9.2

review_neg

  • Description: Free-form text of any negative review.

  • Category: text index

  • Example: No privet parking

review_pos

  • Description: Free-form text of any positive review.

  • Category: text index

  • Example: The couple (Miguel and Vana) was very friendly and very helpfull,they make me feel like I was in my family's house. the location is perfect everything is near good shopings restaurants and amazing view from the apartment,I loved the decoration and I wanted to take the bed with me, very confy.everything was clean and very hygienic. The only small problem for me was that I had to park my car in a public parking but it's very close to the apartments, so it's not terrible

time_stamp

  • Description: Date and time when the review was written in numeric format.

  • Category: date index

  • Example: 1422144000000

user_age_group

  • Description: Age group of the reviewer, if provided.

  • Category: meta

  • Example: Age group: 35 – 44

user_name

  • Description: Name of the reviewer, or Anonymous.

  • Category: user index

  • Example: Devignaud

user_nationality

  • Description: Country of the reviewer.

  • Category: geo index

  • Example: Belgium

user_review_count

  • Description: Total number of Booking.com reviews left by the reviewer.

  • Category: meta

  • Example: 1

Data

  • Description: Returns all of the data collected by the connector.

Further questions?

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