eCommerce Company Data | 320K Stores | API & Bi-Weekly Updates | Technographic Insights
# | 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 | 1404 | |
date_updated
|
DateTime | 2024-01-05T16:33:33+00:00 | |
name
|
String | ||
domain
|
String | ||
website
|
String | ||
logo_url
|
String | ||
description
|
String | We are the Working and Learning Company. We are building ... | |
founded_date
|
DateTime | 1991-01-01T00:00:00+00:00 | |
employees_number
|
Integer | 3946 | |
employees_range
|
String | 10001 - + | |
keywords
|
String | ['Small Business', 'Office Supplies', 'Ink & Toner', 'Pap... | |
addresses
|
String | [{'street_number': None, 'street_name': '6 Staples Avenue... | |
funding_rounds
|
String | [] | |
technologies
|
String | ['SPF', 'Viewport Meta', 'IPhone / Mobile Compatible', 'C... | |
domain_tranco_rank
|
Integer | 26116 | |
domain_similarweb_rank
|
|||
domain_similarweb_traffic
|
|||
country
|
String | Canada | |
area
|
String | Ontario, Canada | |
city
|
String | Richmond Hill, Ontario, Canada | |
location
|
String | richmond hill, ontario, canada | |
locations
|
String | [{'name': 'Canada', 'place_type': 'country'}, {'name': 'O... | |
industry
|
String | Retail | |
linkedin_url
|
String | ||
linkedin_slug
|
String |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Forager AI | Company Name | |
String | https://forager.ai | Company Domain | |
String | forager.ai | Company LinkedIn | |
Company Description
|
String | Example Description | |
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... | |
Technology Used
|
Text | Shopify |
Description
Country Coverage
Volume
14 | days refresh rate |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights?
Best in class, Shopify Store Owner dataset! Includes industry-leading company and owner records, with highest refresh rate (2x per month). Perfect for Sales Platforms, B2B Tech, VCs & PE firms, Marketing Automation, ABM & Intent.
What is eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights 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 Technographic Data from Forager.ai to fuel their analytics and enrichment.
Who can use eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Technographic 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 eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Forager.ai is headquartered in United States of America.
How much does eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights cost?
Pricing information for eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights 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 eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights?
Businesses can buy Technographic 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 eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights?
Forager.ai has reported that this product has the following quality and accuracy assurances: 95% Accuracy . 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 eCommerce Company Data 320K Stores API & Bi-Weekly Updates Technographic Insights?
This product has 3 related products. These alternatives include Technographic Data 22M Records Refreshed 2x/Mo Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery B2B Data, Shopify, Woocommerce Data Global Shopify Woocommerce Customers 1M+ Contacts (Verified Email, Direct Dials) Decision Makers 20+ Attributes , and Ecommerce Leads Data Retail, E-commerce & Consumer Goods Executives Worldwide Verified Global Profiles from 700M+ Dataset Best Price Guarantee. You can compare the best Technographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.