email-enricher v1.0.4
Email Enricher: An Offline Clearbit Alternative
Email Enricher is a free, offline alternative to Clearbit for enriching emails. Determine if an email likely belongs to a Fortune 1000 company.
Table of Contents
Installation
To install Email Enricher, use either of the following package managers:
Using Yarn
yarn add email-enricherUsing npm
npm install email-enricherUsage
Below are examples showing how to obtain enriched information about a company from an email address.
Import the Function
import { companyFromEmail } from "email-enricher";Basic Usage
Example 1: Amazon
const amazonInfo = companyFromEmail("jeff@amazon.com");
console.log(amazonInfo);The output will be:
{
"company": "Amazon",
"rank": 2,
"rank_change": 0,
"revenue": 469822,
"profit": 33364,
"num_of_employees": 1608000,
"sector": "Retailing",
"city": "Seattle",
"state": "WA",
"newcomer": "no",
"ceo_founder": "no",
"ceo_woman": "no",
"profitable": "yes",
"prev_rank": 2,
"CEO": "Andrew R. Jassy",
"Website": "www.amazon.com",
"Ticker": "AMZN",
"Market_Cap": 1202717
}Example 2: Dropbox
const dropboxInfo = companyFromEmail("drew@dropbox.com");
console.log(dropboxInfo);The output will be:
{
"company": "Dropbox",
"rank": 988,
"rank_change": 0,
"revenue": 2157.9,
"profit": 335.8,
"num_of_employees": 2667,
"sector": "Technology",
"city": "San Francisco",
"state": "CA",
"newcomer": "no",
"ceo_founder": "yes",
"ceo_woman": "no",
"profitable": "yes",
"prev_rank": "",
"CEO": "Andrew W. Houston",
"Website": "https://www.dropbox.com",
"Ticker": "DBX",
"Market_Cap": 8873.5
}Example 3: Unrecognized Email
const unknownInfo = companyFromEmail("john.smith@fakecompany.com");
console.log(unknownInfo); // Outputs nullHow It Works
Email Enricher uses a data set from Kaggle that contains information about Fortune 1000 companies. The email address you provide is compared against the URLs of the companies. Note that this is not fool-proof - some companies don't use the same URL for their email domains.
Contributions
We're very open to contributions! Whether it's adding a better data set, improving the documentation, or adding new features, all forms of contribution are welcome. To get started, simply fork the repository and create a pull request. If you're new to the project and looking for a place to start, check out the open issues.