Firmographic Data for all Businesses in India ( 19.7 M Businesses )
# | UniqueID |
DirectoryName |
PostCode |
Region |
WebSocialMedialinksFacebook |
NationalID |
NationalIdentificationTypeCode |
NationalIdentificationTypeCodeDescription |
NationalIDIsVat |
InternationalCode01 |
InternationalLabel01 |
LocalActivityTypeCode |
EmployeesHereReliabilityCode |
EmployeesHereReliabilityCodeDescription |
EmployeesTotalReliabilityCode |
EmployeesTotalReliabilityCodeDescription |
EmployeesHere |
EmployeesTotal |
SalesVolume |
SalesVolumeDollars |
SalesVolumeEuros |
CurrencyCode |
SalesVolumeReliabilityCode |
SalesVolumeReliabilityCodeDescription |
GenericOpeningHours |
GeoLevel |
GeoLevelDescription |
DomesticUltimateUniqueID |
DomesticUltimateStreetAddress |
DomesticUltimatePostalCode |
GlobalUltimateUniqueID |
GlobalUltimateStreetAddress |
GlobalUltimatePostalCode |
ParentUniqueID |
ParentStreetAddress |
ParentPostalCode |
FinancialHistory01UniqueID |
FinancialHistory01SalesVolume |
FinancialHistory01SalesVolumeDollars |
FinancialHistory01SalesVolumeEuros |
FinancialHistory01Currency |
FinancialHistory01EmployeesHere |
FinancialHistory01EmployeesTotal |
FinancialHistory01FamilyMembers |
FinancialHistory01SalesVolumeReliabilityCode |
FinancialHistory01SalesVolumeReliabilityCodeDescription |
FinancialHistory01EmployeesHereReliabilityCode |
FinancialHistory01EmployeesHereReliabilityCodeDescription |
FinancialHistory01EmployeesTotalReliabilityCode |
FinancialHistory01EmployeesTotalReliabilityCodeDescription |
FinancialHistory01YearStat |
FinancialHistory01Version |
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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 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx |
2 | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx |
3 | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | 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 |
4 | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx |
5 | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx |
6 | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx |
7 | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx |
8 | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx |
9 | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx |
10 | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
UniqueID
|
Float | 983527065.0 | |
String | K K PRINTING COMPANY LIMITED | Company Name | |
String | Apple | Company Trade Name | |
DirectoryName
|
String | K K PRINTING | |
String | Address | ||
String | Address | ||
PostCode
|
Integer | 121004 | |
String | Faridabad | City Name | |
String | Haryana | Province Name | |
Region
|
|||
String | India | Country Name | |
String | ENG | Language Name | |
String | Phone Number | ||
String | Fax Number | ||
String | Contact Mobile Phone Number | ||
String | Email Address | ||
String | http://www.ronaldindia.com | Website | |
WebSocialMedialinksFacebook
|
|||
NationalID
|
Float | 6501202286.0 | |
NationalIdentificationTypeCode
|
Integer | 400 | |
NationalIdentificationTypeCodeDescription
|
String | Value Added Tax Number (In) | |
NationalIDIsVat
|
Boolean | t | |
InternationalCode01
|
Integer | 3555 | |
InternationalLabel01
|
String | Printing trades machinery | |
LocalActivityTypeCode
|
|||
EmployeesHereReliabilityCode
|
Integer | 3 | |
EmployeesHereReliabilityCodeDescription
|
String | Modeled | |
EmployeesTotalReliabilityCode
|
Integer | 3 | |
EmployeesTotalReliabilityCodeDescription
|
String | Modeled | |
EmployeesHere
|
Integer | 9 | |
EmployeesTotal
|
Integer | 9 | |
SalesVolume
|
Integer | 20541748 | |
SalesVolumeDollars
|
Integer | 274068 | |
SalesVolumeEuros
|
Integer | 275385 | |
CurrencyCode
|
String | INR | |
SalesVolumeReliabilityCode
|
Integer | 3 | |
SalesVolumeReliabilityCodeDescription
|
String | Modeled | |
GenericOpeningHours
|
String | {"OpeningHoursSets":[{"OpeningLabel":"","DaysList":[{"Wee... | |
Float | 77.3844737 | Longitude | |
Float | 28.3491388 | Latitude | |
GeoLevel
|
Integer | 2 | |
GeoLevelDescription
|
String | Street | |
DomesticUltimateUniqueID
|
|||
String | Coca Cola | Company Name | |
DomesticUltimateStreetAddress
|
|||
String | Berlin | City Name | |
DomesticUltimatePostalCode
|
|||
String | Province Name | ||
String | United States of America | Country Name | |
String | US | Country Code Alpha-2 | |
GlobalUltimateUniqueID
|
|||
String | Coca Cola | Company Name | |
GlobalUltimateStreetAddress
|
|||
String | Berlin | City Name | |
GlobalUltimatePostalCode
|
|||
String | Province Name | ||
String | United States of America | Country Name | |
String | US | Country Code Alpha-2 | |
ParentUniqueID
|
|||
String | Coca Cola | Company Name | |
ParentStreetAddress
|
|||
String | Berlin | City Name | |
ParentPostalCode
|
|||
String | Province Name | ||
String | United States of America | Country Name | |
String | US | Country Code Alpha-2 | |
FinancialHistory01UniqueID
|
Float | 983527065.0 | |
FinancialHistory01SalesVolume
|
Integer | 16781429 | |
FinancialHistory01SalesVolumeDollars
|
Integer | 243616 | |
FinancialHistory01SalesVolumeEuros
|
Integer | 208191 | |
FinancialHistory01Currency
|
String | INR | |
FinancialHistory01EmployeesHere
|
Integer | 8 | |
FinancialHistory01EmployeesTotal
|
Integer | 8 | |
FinancialHistory01FamilyMembers
|
Integer | 0 | |
FinancialHistory01SalesVolumeReliabilityCode
|
Integer | 3 | |
FinancialHistory01SalesVolumeReliabilityCodeDescription
|
String | Modeled | |
FinancialHistory01EmployeesHereReliabilityCode
|
Integer | 3 | |
FinancialHistory01EmployeesHereReliabilityCodeDescription
|
String | Modeled | |
FinancialHistory01EmployeesTotalReliabilityCode
|
Integer | 3 | |
FinancialHistory01EmployeesTotalReliabilityCodeDescription
|
String | Modeled | |
FinancialHistory01YearStat
|
Integer | 2021 | |
FinancialHistory01Version
|
Integer | 20211027 |
Description
Country Coverage
History
Volume
19.7 million | records |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Firmographic Data for all Businesses in India ( 19.7 M Businesses )?
We cover firmographic data for all businesses in India. Our firmographic data cover all industries and is refreshed daily in-house
What is Firmographic Data for all Businesses in India ( 19.7 M Businesses ) used for?
This product has 4 key use cases. Techsalerator recommends using the data for Business Intelligence (BI), Competitive Intelligence, B2B Data Enrichment, and B2B List Validation. Global businesses and organizations buy Firmographic Data from Techsalerator to fuel their analytics and enrichment.
Who can use Firmographic Data for all Businesses in India ( 19.7 M Businesses )?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Firmographic Data. Get in touch with Techsalerator to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Firmographic Data for all Businesses in India ( 19.7 M Businesses ) go?
This product has 6 years of historical coverage. It can be delivered on a weekly, monthly, and quarterly basis.
Which countries does Firmographic Data for all Businesses in India ( 19.7 M Businesses ) cover?
This product includes data covering 1 country like India. Techsalerator is headquartered in United States of America.
How much does Firmographic Data for all Businesses in India ( 19.7 M Businesses ) cost?
Pricing information for Firmographic Data for all Businesses in India ( 19.7 M Businesses ) is available by getting in contact with Techsalerator. Connect with Techsalerator to get a quote and arrange custom pricing models based on your data requirements.
How can I get Firmographic Data for all Businesses in India ( 19.7 M Businesses )?
Businesses can buy Firmographic Data from Techsalerator and get the data via SFTP, Email, and Feed API. Depending on your data requirements and subscription budget, Techsalerator can deliver this product in .json, .csv, .xls, and .txt format.
What is the data quality of Firmographic Data for all Businesses in India ( 19.7 M Businesses )?
You can compare and assess the data quality of Techsalerator using Datarade’s data marketplace. Techsalerator has received 5 reviews from clients. Techsalerator appears on selected Datarade top lists ranking the best data providers, including 10 Best Data Providers for Customer Segmentation, 10 Best Data Providers for KYC , and 11 Best Data Providers for B2B CRM Enrichment.
What are similar products to Firmographic Data for all Businesses in India ( 19.7 M Businesses )?
This product has 3 related products. These alternatives include Firmographic Data for all Businesses in Poland ( 5 M Businesses ), Fortune 1000 BizWatch Network (BWN) B2B Contact Data USA 1st Party B2B Email Data Delivered Weekly,B2B Firmographic Data, 638K+ Titles, and Versium REACH - Firmographic Append API, B2B, USA, CCPA Compliant. You can compare the best Firmographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.