Available Views for Business Data

The view_name field in your search requests determines which fields are returned by your data request and the order in which they're shown.

Available views for business data:

Default view

The default view will display all available fields in our Business Data Schema. This view will be used if you don't set the view.

If using the csv format, it will split out elements in multi-valued field lists into separate rows. This means a single business will show up in multiple, contiguous rows while its categories, reviews, etc fields will have one entry per row for each element in their lists.

Field NameIncluded Sub-Fields
addressN/A
careerPageURLN/A
categoriesN/A
cityN/A
claimedN/A
countryN/A
cuisinesN/A
dateAddedN/A
dateUpdatedN/A
descriptionsdateSeen
sourceURLs
value
domainsN/A
emailsN/A
facebookPageURLN/A
faxesN/A
featureskey
replace
value
hoursday
dept
hour
meal
imageURLsN/A
isClosedN/A
keysN/A
languagesSpokenN/A
latitudeN/A
longitudeN/A
menuPageURLN/A
menusamountMin
amountMax
category
currency
dateSeen
name
sourceURLs
nameN/A
neighborhoodsN/A
numEmployeesMinN/A
numEmployeesMaxN/A
numRoomN/A
paymentTypesN/A
peopledateSeen
name
title
phonesN/A
postalCodeN/A
priceRangeCurrencyN/A
priceRangeMinN/A
priceRangeMaxN/A
productsOrServicesN/A
provinceN/A
revenueCurrencyN/A
revenueMinN/A
revenueMaxN/A
reviewsdate
dateSeen
sourceURLs
text
roomsamountMin
amountMax
capacity
currency
dateSeen
roomType
sicN/A
sourceURLsN/A
twitterN/A
websitesN/A
yearIncorporatedN/A
yearOpenedN/A

business_all_nested

The business_all_nested view will display all available fields in our Business Data Schema.

If using the csv format, it will keep all elements in multi-valued field lists in a single cell. This means a field like reviews will show up as a nested JSON object within the CSV.

Field NameIncluded Sub-Fields
addressN/A
careerPageURLN/A
categoriesN/A
cityN/A
claimedN/A
countryN/A
cuisinesN/A
dateAddedN/A
dateUpdatedN/A
descriptionsdateSeen
sourceURLs
value
domainsN/A
emailsN/A
facebookPageURLN/A
faxesN/A
featureskey
replace
value
hoursday
dept
hour
meal
imageURLsN/A
isClosedN/A
keysN/A
languagesSpokenN/A
latitudeN/A
longitudeN/A
menuPageURLN/A
menusamountMin
amountMax
category
currency
dateSeen
name
sourceURLs
nameN/A
neighborhoodsN/A
numEmployeesMinN/A
numEmployeesMaxN/A
numRoomN/A
paymentTypesN/A
peopledateSeen
name
title
phonesN/A
postalCodeN/A
priceRangeCurrencyN/A
priceRangeMinN/A
priceRangeMaxN/A
productsOrServicesN/A
provinceN/A
revenueCurrencyN/A
revenueMinN/A
revenueMaxN/A
reviewsdate
dateAdded
dateSeen
sourceURLs
text
roomsamountMin
amountMax
capacity
currency
dateSeen
roomType
sicN/A
sourceURLsN/A
twitterN/A
websitesN/A
yearIncorporatedN/A
yearOpenedN/A

business_basic

The business_basic view returns a reduced set of fields from our Business Data Schema.

If using the csv format, it will keep all elements in multi-valued field lists in a single cell. This means a field like websites will show up as a nested JSON object within the CSV.

Field NameIncluded Sub-Fields
addressN/A
cityN/A
countryN/A
keysN/A
latitudeN/A
longitudeN/A
nameN/A
postalCodeN/A
provinceN/A
sourceURLsN/A
websitesN/A

business_flat_menus

The business_flat_menus view will display all available fields in our Business Data Schema.

If using the csv format, it will split out elements in the menus field into separate rows. This means a single business with multiple menu items will show up in multiple, contiguous rows while its each entry in its menus field will show up in a separate row.

Field NameIncluded Sub-Fields
addressN/A
careerPageURLN/A
categoriesN/A
cityN/A
claimedN/A
countryN/A
cuisinesN/A
dateAddedN/A
dateUpdatedN/A
descriptionsdateSeen
sourceURLs
value
domainsN/A
emailsN/A
facebookPageURLN/A
faxesN/A
featureskey
value
hoursday
dept
hour
meal
imageURLsN/A
isClosedN/A
keysN/A
languagesSpokenN/A
latitudeN/A
longitudeN/A
menuPageURLN/A
menusamountMin
amountMax
category
currency
dateSeen
name
sourceURLs
nameN/A
neighborhoodsN/A
numEmployeesMinN/A
numEmployeesMaxN/A
numRoomN/A
paymentTypesN/A
peopledateSeen
name
title
phonesN/A
postalCodeN/A
priceRangeCurrencyN/A
priceRangeMinN/A
priceRangeMaxN/A
productsOrServicesN/A
provinceN/A
revenueCurrencyN/A
revenueMinN/A
revenueMaxN/A
roomsamountMin
amountMax
capacity
currency
dateSeen
roomType
sicN/A
sourceURLsN/A
twitterN/A
websitesN/A
yearIncorporatedN/A
yearOpenedN/A

business_flat_reviews

The business_flat_reviews view will display all available fields in our Business Data Schema.

If using the csv format, it will split each review into its own row. All other fields will be condensed into single cells and repeated along with each review row.

Field NameIncluded Sub-Fields
addressN/A
careerPageURLN/A
categoriesN/A
cityN/A
claimedN/A
countryN/A
cuisinesN/A
dateAddedN/A
dateUpdatedN/A
descriptionsdateSeen
sourceURLs
value
domainsN/A
emailsN/A
facebookPageURLN/A
faxesN/A
featureskey
value
hoursday
dept
hour
meal
imageURLsN/A
isClosedN/A
keysN/A
languagesSpokenN/A
latitudeN/A
longitudeN/A
menuPageURLN/A
menusamountMin
amountMax
category
currency
dateSeen
name
sourceURLs
nameN/A
neighborhoodsN/A
numEmployeesMinN/A
numEmployeesMaxN/A
numRoomN/A
paymentTypesN/A
peopledateSeen
name
title
phonesN/A
postalCodeN/A
priceRangeCurrencyN/A
priceRangeMinN/A
priceRangeMaxN/A
productsOrServicesN/A
provinceN/A
revenueCurrencyN/A
revenueMinN/A
revenueMaxN/A
reviewsdate
dateAdded
dateSeen
sourceURLs
text
roomsamountMin
amountMax
capacity
currency
dateSeen
roomType
sicN/A
sourceURLsN/A
twitterN/A
websitesN/A
yearIncorporatedN/A
yearOpenedN/A

business_no_reviews

The business_no_reviews view will display all available fields in our Business Data Schema, except for reviews.

If using the csv format, it will keep all elements in multi-valued field lists in a single cell. This means a field like features will show up as a nested JSON object within the CSV.

Field NameIncluded Sub-Fields
addressN/A
careerPageURLN/A
categoriesN/A
cityN/A
claimedN/A
countryN/A
cuisinesN/A
dateAddedN/A
dateUpdatedN/A
descriptionsdateSeen
sourceURLs
value
domainsN/A
emailsN/A
facebookPageURLN/A
faxesN/A
featureskey
value
hoursday
dept
hour
meal
imageURLsN/A
isClosedN/A
keysN/A
languagesSpokenN/A
latitudeN/A
longitudeN/A
menuPageURLN/A
menusamountMin
amountMax
category
currency
dateSeen
name
sourceURLs
nameN/A
neighborhoodsN/A
numEmployeesMinN/A
numEmployeesMaxN/A
numRoomN/A
paymentTypesN/A
peopledateSeen
name
title
phonesN/A
postalCodeN/A
priceRangeCurrencyN/A
priceRangeMinN/A
priceRangeMaxN/A
productsOrServicesN/A
provinceN/A
revenueCurrencyN/A
revenueMinN/A
revenueMaxN/A
roomsamountMin
amountMax
capacity
currency
dateSeen
roomType
sicN/A
sourceURLsN/A
twitterN/A
websitesN/A
yearIncorporatedN/A
yearOpenedN/A