Reomnify | Global Web Scraping Data | Cleaning and Standardisation | Bespoke | Frequent Updates
# | id |
room_id |
room_name |
type |
person_capacity |
room_type |
beds |
bath_type |
superhost |
rating |
reviews |
room_category |
currency |
price |
time_rate |
data_type |
data_objtype |
facilities |
lat |
long |
ro_place_id |
ds_instance_id |
timestamp |
created_at |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
2 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
3 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
4 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
5 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
6 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
7 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
8 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
9 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
10 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
... | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 22595 | |
room_id
|
Integer | 5032458 | |
room_name
|
String | Chic inner-city living. | |
type
|
String | Apartment in Adelaide | |
person_capacity
|
String | 2 guests | |
room_type
|
String | 1 bedroom | |
beds
|
String | 1 bath | |
bath_type
|
String | 1 bath | |
superhost
|
Boolean | f | |
rating
|
Float | 4.7 | |
reviews
|
Integer | 364 | |
room_category
|
String | entire_home | |
currency
|
String | AUD | |
price
|
String | $1,033 | |
time_rate
|
String | total | |
data_type
|
String | ExploreListingItem | |
data_objtype
|
String | REGULAR | |
facilities
|
String | Free parking, Wi-Fi, Kitchen, Washing machine | |
lat
|
Float | -34.92034 | |
long
|
Float | 138.61131 | |
ro_place_id
|
String | ro:84c86ba3-927a-4a54-820c-ba78e3e82d19 | |
ds_instance_id
|
Integer | 102 | |
timestamp
|
Integer | 52022 | |
created_at
|
DateTime | 2022-05-29T16:12:06+00:00 |
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Frequently asked questions
What is Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates?
Reomnify’s expert data science team and proprietary algorithms are employed by our customers to build bespoke, trustworthy datasets.
What is Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates used for?
This product has 5 key use cases. Reomnify recommends using the data for Location-based Analytics, Real Estate Intelligence, Real Estate Insights, Location Planning, and Property Market Analytics. Global businesses and organizations buy Alternative Data from Reomnify to fuel their analytics and enrichment.
Who can use Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Alternative Data. Get in touch with Reomnify to see what their data can do for your business and find out which integrations they provide.
Which countries does Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Reomnify is headquartered in Singapore.
How much does Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates cost?
Pricing information for Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates is available by getting in contact with Reomnify. Connect with Reomnify to get a quote and arrange custom pricing models based on your data requirements.
How can I get Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates?
Businesses can buy Alternative Data from Reomnify and get the data via SFTP and Email. Depending on your data requirements and subscription budget, Reomnify can deliver this product in .csv and .xls format.
What is the data quality of Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates?
You can compare and assess the data quality of Reomnify using Datarade’s data marketplace. Reomnify appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? .
What are similar products to Reomnify Global Web Scraping Data Cleaning and Standardisation Bespoke Frequent Updates?
This product has 3 related products. These alternatives include TagX Web Scraping Data Web data extraction Scrape Ecommerce websites Data from all popular domains Global web data 100% compliant, Serpstat: Google Maps Scraping API Real-time All locations Postcode Local Level, and Coresignal Web Scraping Company Data Global / 71M+ Records / Largest Professional Network / Updated Daily. You can compare the best Alternative Data providers and products via Datarade’s data marketplace and get the right data for your use case.