B2B Global Company Data | 61M Accurate Records | Bi-Weekly Refreshes | High-Quality data | Hourly CSV, JSON, PostgreSQL Delivery
# | forager_id |
date_updated |
name |
domain |
website |
logo_url |
description |
founded_date |
employees_number |
employees_range |
keywords |
addresses |
funding_rounds |
technologies |
domain_tranco_rank |
domain_similarweb_rank |
domain_similarweb_traffic |
country |
area |
city |
location |
locations |
industry |
linkedin_url |
linkedin_slug |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
2 | 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 |
3 | 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 |
4 | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
5 | 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 |
6 | 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 |
7 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx |
8 | 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 |
9 | 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 |
10 | 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 | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
forager_id
|
Integer | 29469045 | |
date_updated
|
DateTime | 2024-09-30T14:14:18+00:00 | |
name
|
String | Random PERU | |
domain
|
String | random.com.pe | |
website
|
String | https://random.com.pe/ | |
logo_url
|
String | https://media.licdn.com/dms/image/v2/C4E0BAQEhZSgqcFwNoA/... | |
description
|
String | Random ERP una plataforma tecnológica de gestión de recur... | |
founded_date
|
DateTime | 1988-01-01T00:00:00+00:00 | |
employees_number
|
Integer | 1 | |
employees_range
|
String | 11 - 50 | |
keywords
|
String | [] | |
addresses
|
String | [{'street_number': None, 'street_name': None, 'city': 'Li... | |
funding_rounds
|
String | [] | |
technologies
|
String | ['Mobile Non Scaleable Content', 'Viewport Meta', 'IPhone... | |
domain_tranco_rank
|
|||
domain_similarweb_rank
|
|||
domain_similarweb_traffic
|
|||
country
|
String | Peru | |
area
|
String | Lima, Peru | |
city
|
|||
location
|
String | lima, peru | |
locations
|
String | [{'name': 'Peru', 'place_type': 'country'}, {'name': 'Lim... | |
industry
|
String | Computer Software | |
linkedin_url
|
String | https://www.linkedin.com/company/software-random-erp-tran... | |
linkedin_slug
|
String | software-random-erp-transformación-digital-en-el-canal-tr... |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Forage AI | Company Name | |
String | https://forager.ai | Company Domain | |
String | forager.ai | Company LinkedIn | |
Company Description
|
String | Example Description | |
String | 1960-01-01 | Job Source URL | |
String | 101 | Job Title | |
String | ['AI', 'SEO', 'Software'] | Job Description | |
Boolean | ['Wordpress', 'Stripe'] | Job Remote | |
Boolean | United States | Contact Job Title | |
Area Name
|
Date | California | |
String | Los Angeles | Country Name | |
String | 101 Hudson Yards, New York, NY, 10001, US | State Name | |
String | 101 | City Name | |
Company LinkedIn URL
|
Binary | https://www.linkedin.com/company/forageai | |
Company LinkedIn SLUG
|
String | forageai | |
String | Internet | Company Industry | |
Last Funding Type
|
String | series_a | |
Last Funding Amount
|
Integer | 101 | |
Last Funding Date
|
Date | 2023-01-01 | |
Funding Rounds
|
Binary | [{'funding_type': 'post_ipo_debt', 'funding_total': 82500... |
Description
Country Coverage
Volume
61 million | updates per month |
14 | days refresh rate |
61 million | records |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery?
Forager.ai is Best-in-Class, AI-Powered Global Company Data Set! Featuring 61M+ accurate company records with bi-weekly updates. Ideal for Sales Platforms, B2B Tech, Venture Capital (VC), Private Equity (PE) firms, Marketing Automation, ABM, and Intent strategies.
What is B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery used for?
This product has 5 key use cases. Forager.ai recommends using the data for Account-Based Marketing (ABM), B2B Data Enrichment, B2B Sales, Company Data Enrichment, and Sales Data Enrichment. Global businesses and organizations buy Firmographic Data from Forager.ai to fuel their analytics and enrichment.
Who can use B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Firmographic Data. Get in touch with Forager.ai to see what their data can do for your business and find out which integrations they provide.
Which countries does B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Forager.ai is headquartered in United States of America.
How much does B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery cost?
Pricing information for B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery is available by getting in contact with Forager.ai. Connect with Forager.ai to get a quote and arrange custom pricing models based on your data requirements.
How can I get B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery?
Businesses can buy Firmographic Data from Forager.ai and get the data via S3 Bucket, Email, and REST API. Depending on your data requirements and subscription budget, Forager.ai can deliver this product in .json, .csv, and .sql format.
What is the data quality of B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery?
Forager.ai has reported that this product has the following quality and accuracy assurances: 95% Accurcy. You can compare and assess the data quality of Forager.ai using Datarade’s data marketplace. Forager.ai has received 3 reviews from clients.
What are similar products to B2B Global Company Data 61M Accurate Records Bi-Weekly Refreshes High-Quality data Hourly CSV, JSON, PostgreSQL Delivery?
This product has 3 related products. These alternatives include Forager.ai - Technographic Data B2B Data 22M Records Refreshed 2x/Mo Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery, Success.ai EU Company Data APIs 28M+ Full Company Profiles & Contact Data – Best Price & Quality Guarantee, and Small Business Contact Data Small Business Database Decision Makers 40M+ Contacts E-mail, Direct Dails 100% Accurate Data 16+ Attributes. You can compare the best Firmographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.