LEAD GENERATION

B2B Lead Generation at Scale

Build targeted prospect lists by extracting company information, contact details, and business data from any website or directory.

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Lead Generation Is Time-Consuming

Your sales team spends hours manually searching directories, company websites, and professional networks to build prospect lists. This manual approach doesn't scale.

Existing lead databases are expensive, often outdated, and may not cover your specific target market or niche industries.

WebScraping.AI Solution

  • Any Data Source: Extract leads from industry directories, company websites, events, and more
  • AI-Powered: Our AI finds contact info even when it's not in standard formats
  • Fresh Data: Get real-time data directly from the source
  • Custom Fields: Extract exactly the data points your sales team needs

Lead Data Extraction Features

Extract comprehensive business and contact information

Company Data

Extract company name, industry, size, location, and description.

Contact Info

Find emails, phone numbers, and key decision-maker names.

Web Presence

Gather website URLs, social profiles, and online footprint.

Custom Fields

Extract any additional data points specific to your needs.

How It Works

Build your lead list in three simple steps

1

Identify Sources

Choose your data sources - industry directories, company websites, or professional networks.

2

Define Fields

Specify what lead data you need - company info, contacts, industry, size, etc.

3

Export to CRM

Receive structured JSON data ready to import into your CRM or sales tools.

Code Examples

Extract business leads from any company page

curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://example-company.com/about" \
  --data-urlencode "fields[company_name]=Name of the company" \
  --data-urlencode "fields[industry]=Industry or sector the company operates in" \
  --data-urlencode "fields[company_size]=Number of employees or company size" \
  --data-urlencode "fields[headquarters]=Location of headquarters" \
  --data-urlencode "fields[description]=Brief company description" \
  --data-urlencode "fields[website]=Main website URL" \
  --data-urlencode "fields[contact_email]=General contact email address" \
  --data-urlencode "fields[phone]=Contact phone number" \
  --data-urlencode "fields[linkedin]=LinkedIn company page URL"
# Response:
# {
#   "company_name": "TechCorp Solutions",
#   "industry": "Software Development",
#   "company_size": "50-200 employees",
#   "headquarters": "San Francisco, CA",
#   "description": "Enterprise software solutions for...",
#   "website": "https://techcorp.com",
#   "contact_email": "contact@techcorp.com",
#   "phone": "+1 (555) 123-4567",
#   "linkedin": "https://linkedin.com/company/techcorp"
# }
# 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://example-company.com/about",
    fields={
        "company_name": "Name of the company",
        "industry": "Industry or sector the company operates in",
        "company_size": "Number of employees or company size",
        "headquarters": "Location of headquarters",
        "description": "Brief company description",
        "website": "Main website URL",
        "contact_email": "General contact email address",
        "phone": "Contact phone number",
        "linkedin": "LinkedIn company page URL",
    },
)
print(result)
# Response:
# {
#   "company_name": "TechCorp Solutions",
#   "industry": "Software Development",
#   "company_size": "50-200 employees",
#   "headquarters": "San Francisco, CA",
#   "description": "Enterprise software solutions for...",
#   "website": "https://techcorp.com",
#   "contact_email": "contact@techcorp.com",
#   "phone": "+1 (555) 123-4567",
#   "linkedin": "https://linkedin.com/company/techcorp"
# }
// 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://example-company.com/about',
  fields: {
    company_name: 'Name of the company',
    industry: 'Industry or sector the company operates in',
    company_size: 'Number of employees or company size',
    headquarters: 'Location of headquarters',
    description: 'Brief company description',
    website: 'Main website URL',
    contact_email: 'General contact email address',
    phone: 'Contact phone number',
    linkedin: 'LinkedIn company page URL',
  },
});
console.log(result);
// Response:
// {
//   "company_name": "TechCorp Solutions",
//   "industry": "Software Development",
//   "company_size": "50-200 employees",
//   "headquarters": "San Francisco, CA",
//   "description": "Enterprise software solutions for...",
//   "website": "https://techcorp.com",
//   "contact_email": "contact@techcorp.com",
//   "phone": "+1 (555) 123-4567",
//   "linkedin": "https://linkedin.com/company/techcorp"
// }
<?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 = $client->fields('https://example-company.com/about', [
    'company_name'  => 'Name of the company',
    'industry'      => 'Industry or sector the company operates in',
    'company_size'  => 'Number of employees or company size',
    'headquarters'  => 'Location of headquarters',
    'description'   => 'Brief company description',
    'website'       => 'Main website URL',
    'contact_email' => 'General contact email address',
    'phone'         => 'Contact phone number',
    'linkedin'      => 'LinkedIn company page URL',
]);
print_r($result);
// Response:
// {
//   "company_name": "TechCorp Solutions",
//   "industry": "Software Development",
//   "company_size": "50-200 employees",
//   "headquarters": "San Francisco, CA",
//   "description": "Enterprise software solutions for...",
//   "website": "https://techcorp.com",
//   "contact_email": "contact@techcorp.com",
//   "phone": "+1 (555) 123-4567",
//   "linkedin": "https://linkedin.com/company/techcorp"
// }
# 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://example-company.com/about',
  fields: {
    company_name:   'Name of the company',
    industry:       'Industry or sector the company operates in',
    company_size:   'Number of employees or company size',
    headquarters:   'Location of headquarters',
    description:    'Brief company description',
    website:        'Main website URL',
    contact_email:  'General contact email address',
    phone:          'Contact phone number',
    linkedin:       'LinkedIn company page URL',
  }
)
puts result.inspect
# Response:
# {
#   "company_name": "TechCorp Solutions",
#   "industry": "Software Development",
#   "company_size": "50-200 employees",
#   "headquarters": "San Francisco, CA",
#   "description": "Enterprise software solutions for...",
#   "website": "https://techcorp.com",
#   "contact_email": "contact@techcorp.com",
#   "phone": "+1 (555) 123-4567",
#   "linkedin": "https://linkedin.com/company/techcorp"
# }
// 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://example-company.com/about",
        Fields: map[string]string{
            "company_name": "Name of the company",
            "industry": "Industry or sector the company operates in",
            "company_size": "Number of employees or company size",
            "headquarters": "Location of headquarters",
            "description": "Brief company description",
            "website": "Main website URL",
            "contact_email": "General contact email address",
            "phone": "Contact phone number",
            "linkedin": "LinkedIn company page URL",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
//   "company_name": "TechCorp Solutions",
//   "industry": "Software Development",
//   "company_size": "50-200 employees",
//   "headquarters": "San Francisco, CA",
//   "description": "Enterprise software solutions for...",
//   "website": "https://techcorp.com",
//   "contact_email": "contact@techcorp.com",
//   "phone": "+1 (555) 123-4567",
//   "linkedin": "https://linkedin.com/company/techcorp"
// }
// 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://example-company.com/about")
    .addField("company_name", "Name of the company")
    .addField("industry", "Industry or sector the company operates in")
    .addField("company_size", "Number of employees or company size")
    .addField("headquarters", "Location of headquarters")
    .addField("description", "Brief company description")
    .addField("website", "Main website URL")
    .addField("contact_email", "General contact email address")
    .addField("phone", "Contact phone number")
    .addField("linkedin", "LinkedIn company page URL")
    .build());
System.out.println(result.getResult());
// Response:
// {
//   "company_name": "TechCorp Solutions",
//   "industry": "Software Development",
//   "company_size": "50-200 employees",
//   "headquarters": "San Francisco, CA",
//   "description": "Enterprise software solutions for...",
//   "website": "https://techcorp.com",
//   "contact_email": "contact@techcorp.com",
//   "phone": "+1 (555) 123-4567",
//   "linkedin": "https://linkedin.com/company/techcorp"
// }
// 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://example-company.com/about",
    Fields = new Dictionary<string, string> {
        ["company_name"] = "Name of the company",
        ["industry"] = "Industry or sector the company operates in",
        ["company_size"] = "Number of employees or company size",
        ["headquarters"] = "Location of headquarters",
        ["description"] = "Brief company description",
        ["website"] = "Main website URL",
        ["contact_email"] = "General contact email address",
        ["phone"] = "Contact phone number",
        ["linkedin"] = "LinkedIn company page URL",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
//   "company_name": "TechCorp Solutions",
//   "industry": "Software Development",
//   "company_size": "50-200 employees",
//   "headquarters": "San Francisco, CA",
//   "description": "Enterprise software solutions for...",
//   "website": "https://techcorp.com",
//   "contact_email": "contact@techcorp.com",
//   "phone": "+1 (555) 123-4567",
//   "linkedin": "https://linkedin.com/company/techcorp"
// }

Benefits for Sales Teams

10x Faster Prospecting: Build lead lists in minutes, not days.
Fresh Data: Get up-to-date information directly from source websites.
Custom Targeting: Extract leads from niche directories your competitors don't know about.
No Per-Lead Fees: Pay for API usage, not per-lead pricing.
CRM Ready: Structured data exports directly to your sales tools.

Lead Sources You Can Scrape

Industry Directories

Chamber of commerce lists, trade associations, professional directories

Company Websites

About pages, team pages, contact information

Event Attendee Lists

Conference speakers, exhibitors, registered attendees

Review Platforms

G2, Capterra, and industry-specific review sites

Related Use Cases

More lead generation solutions

Sales Intelligence

Gather competitive insights to inform your sales strategy.

CRM Enrichment

Enhance existing leads with additional company data.

Competitor Analysis

Understand competitor positioning and messaging.

Start Generating Leads Today

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