LEAD GENERATION

CRM Enrichment Made Simple

Fill data gaps in your CRM automatically. Enrich leads with company details, firmographics, and contact information from web sources.

Start Free Trial View Documentation

Incomplete Data Kills Sales

Your CRM is full of leads with missing fields - no company size, no industry, no phone numbers. This incomplete data makes lead scoring unreliable and sales outreach generic.

Traditional data enrichment services are expensive, charge per-record, and often have outdated information in their databases.

WebScraping.AI Solution

  • Fill Data Gaps: Automatically populate missing CRM fields from web sources
  • Fresh Information: Data comes directly from company websites, not stale databases
  • Custom Fields: Enrich with any data point you can find on the web
  • Cost Effective: Pay for API calls, not per-record pricing

Data Enrichment Capabilities

Fill every field your CRM needs

Firmographics

Company size, industry, location, founding year, and revenue.

Contact Data

Email addresses, phone numbers, and key contacts.

Tech Stack

Technologies and tools the company uses.

Social Profiles

LinkedIn, Twitter, and other social presence.

How It Works

Enrich your CRM data in three steps

1

Export Leads

Pull leads with missing data from your CRM along with their company websites.

2

Extract & Enrich

Our API extracts the missing information from company websites and other sources.

3

Update CRM

Import the enriched data back into your CRM with complete lead profiles.

Code Examples

Enrich a lead from their company website

curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://techstartup.com" \
  --data-urlencode "fields[company_name]=Official company name" \
  --data-urlencode "fields[industry]=Industry or business sector" \
  --data-urlencode "fields[company_size]=Number of employees" \
  --data-urlencode "fields[headquarters]=Headquarters location" \
  --data-urlencode "fields[phone]=Contact phone number" \
  --data-urlencode "fields[linkedin]=LinkedIn company page URL" \
  --data-urlencode "fields[founded]=Year the company was founded" \
  --data-urlencode "fields[description]=Brief company description"
# Enriched lead:
# {
#   "company_name": "TechStartup Inc.",
#   "industry": "SaaS / Software",
#   "company_size": "11-50 employees",
#   "headquarters": "Austin, TX",
#   "phone": "+1 (512) 555-0123",
#   "linkedin": "https://linkedin.com/company/techstartup",
#   "founded": "2019",
#   "description": "We help teams collaborate better..."
# }
# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
result = client.fields(
    "https://techstartup.com",
    fields={
        "company_name": "Official company name",
        "industry": "Industry or business sector",
        "company_size": "Number of employees",
        "headquarters": "Headquarters location",
        "phone": "Contact phone number",
        "linkedin": "LinkedIn company page URL",
        "founded": "Year the company was founded",
        "description": "Brief company description",
    },
)
print(result)
# Enriched lead:
# {
#   "company_name": "TechStartup Inc.",
#   "industry": "SaaS / Software",
#   "company_size": "11-50 employees",
#   "headquarters": "Austin, TX",
#   "phone": "+1 (512) 555-0123",
#   "linkedin": "https://linkedin.com/company/techstartup",
#   "founded": "2019",
#   "description": "We help teams collaborate better..."
# }
// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const result = await client.fields({
  url: 'https://techstartup.com',
  fields: {
    company_name: 'Official company name',
    industry: 'Industry or business sector',
    company_size: 'Number of employees',
    headquarters: 'Headquarters location',
    phone: 'Contact phone number',
    linkedin: 'LinkedIn company page URL',
    founded: 'Year the company was founded',
    description: 'Brief company description',
  },
});
console.log(result);
// Enriched lead:
// {
//   "company_name": "TechStartup Inc.",
//   "industry": "SaaS / Software",
//   "company_size": "11-50 employees",
//   "headquarters": "Austin, TX",
//   "phone": "+1 (512) 555-0123",
//   "linkedin": "https://linkedin.com/company/techstartup",
//   "founded": "2019",
//   "description": "We help teams collaborate better..."
// }
<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$result = $client->fields('https://techstartup.com', [
    'company_name' => 'Official company name',
    'industry'     => 'Industry or business sector',
    'company_size' => 'Number of employees',
    'headquarters' => 'Headquarters location',
    'phone'        => 'Contact phone number',
    'linkedin'     => 'LinkedIn company page URL',
    'founded'      => 'Year the company was founded',
    'description'  => 'Brief company description',
]);
print_r($result);
// Enriched lead:
// {
//   "company_name": "TechStartup Inc.",
//   "industry": "SaaS / Software",
//   "company_size": "11-50 employees",
//   "headquarters": "Austin, TX",
//   "phone": "+1 (512) 555-0123",
//   "linkedin": "https://linkedin.com/company/techstartup",
//   "founded": "2019",
//   "description": "We help teams collaborate better..."
// }
# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
result = client.fields(
  'https://techstartup.com',
  fields: {
    company_name:  'Official company name',
    industry:      'Industry or business sector',
    company_size:  'Number of employees',
    headquarters:  'Headquarters location',
    phone:         'Contact phone number',
    linkedin:      'LinkedIn company page URL',
    founded:       'Year the company was founded',
    description:   'Brief company description',
  }
)
puts result.inspect
# Enriched lead:
# {
#   "company_name": "TechStartup Inc.",
#   "industry": "SaaS / Software",
#   "company_size": "11-50 employees",
#   "headquarters": "Austin, TX",
#   "phone": "+1 (512) 555-0123",
#   "linkedin": "https://linkedin.com/company/techstartup",
#   "founded": "2019",
#   "description": "We help teams collaborate better..."
# }
// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{
        URL: "https://techstartup.com",
        Fields: map[string]string{
            "company_name": "Official company name",
            "industry": "Industry or business sector",
            "company_size": "Number of employees",
            "headquarters": "Headquarters location",
            "phone": "Contact phone number",
            "linkedin": "LinkedIn company page URL",
            "founded": "Year the company was founded",
            "description": "Brief company description",
        },
    })
    fmt.Println(result.Result)
}
// Enriched lead:
// {
//   "company_name": "TechStartup Inc.",
//   "industry": "SaaS / Software",
//   "company_size": "11-50 employees",
//   "headquarters": "Austin, TX",
//   "phone": "+1 (512) 555-0123",
//   "linkedin": "https://linkedin.com/company/techstartup",
//   "founded": "2019",
//   "description": "We help teams collaborate better..."
// }
// Maven: ai.webscraping:webscraping-ai:4.0.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.FieldsOptions;
import ai.webscraping.result.FieldsResult;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
FieldsResult result = client.fields(FieldsOptions.builder()
    .url("https://techstartup.com")
    .addField("company_name", "Official company name")
    .addField("industry", "Industry or business sector")
    .addField("company_size", "Number of employees")
    .addField("headquarters", "Headquarters location")
    .addField("phone", "Contact phone number")
    .addField("linkedin", "LinkedIn company page URL")
    .addField("founded", "Year the company was founded")
    .addField("description", "Brief company description")
    .build());
System.out.println(result.getResult());
// Enriched lead:
// {
//   "company_name": "TechStartup Inc.",
//   "industry": "SaaS / Software",
//   "company_size": "11-50 employees",
//   "headquarters": "Austin, TX",
//   "phone": "+1 (512) 555-0123",
//   "linkedin": "https://linkedin.com/company/techstartup",
//   "founded": "2019",
//   "description": "We help teams collaborate better..."
// }
// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var result = await client.FieldsAsync(new FieldsRequest {
    Url = "https://techstartup.com",
    Fields = new Dictionary<string, string> {
        ["company_name"] = "Official company name",
        ["industry"] = "Industry or business sector",
        ["company_size"] = "Number of employees",
        ["headquarters"] = "Headquarters location",
        ["phone"] = "Contact phone number",
        ["linkedin"] = "LinkedIn company page URL",
        ["founded"] = "Year the company was founded",
        ["description"] = "Brief company description",
    },
});
Console.WriteLine(result.Result);
// Enriched lead:
// {
//   "company_name": "TechStartup Inc.",
//   "industry": "SaaS / Software",
//   "company_size": "11-50 employees",
//   "headquarters": "Austin, TX",
//   "phone": "+1 (512) 555-0123",
//   "linkedin": "https://linkedin.com/company/techstartup",
//   "founded": "2019",
//   "description": "We help teams collaborate better..."
// }

Benefits of CRM Enrichment

Better Lead Scoring: Complete data means more accurate lead prioritization.
Personalized Outreach: Craft targeted messages with company context.
Improved Routing: Route leads to the right reps based on company size or industry.
Better Reporting: Analyze pipeline by industry, company size, and more.
Fresh Data: Information comes directly from source, not outdated databases.

Common Enrichment Fields

Company Size

Employee count for lead scoring and routing

Industry Classification

Sector and vertical for segmentation

Contact Information

Phone numbers and alternative emails

Social Profiles

LinkedIn, Twitter for social selling

Related Use Cases

More lead generation solutions

B2B Lead Generation

Build new prospect lists from web sources.

Sales Intelligence

Gather competitive insights for your sales team.

Job Listing Data

Identify growing companies through hiring signals.

Start Enriching Your CRM Today

Get started with 1,000 free API credits. No credit card required.

Start Free Trial View API Documentation
Icon