--- title: "Lead Scraping API for B2B Lead Generation" description: "Scrape B2B leads from directories and company websites. Extract company data, contact details, and emails as structured JSON with WebScraping.AI." url: https://webscraping.ai/use-cases/b2b-lead-generation markdown_index: https://webscraping.ai/llms.txt --- LEAD GENERATION # Lead Scraping for B2B Lead Generation Scrape B2B leads at scale. Build targeted prospect lists by pulling company information, contact details, and business data from directories and company websites. [Start Free Trial](https://webscraping.ai/auth/sign_up)[View Documentation](https://webscraping.ai/docs) ## Manual Lead Generation Doesn't Scale Your sales team spends hours copying names, emails, and company details from directories and company websites into a spreadsheet. That manual work caps how many prospects you can reach. Existing lead databases are expensive, often outdated, and may not cover your specific target market or niche industries.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, and public business listings. 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** ```bash 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" # } ``` **Python** ```python # 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" # } ``` **JavaScript** ```javascript // 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** ```php 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" // } ``` **Ruby** ```ruby # 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** ```go // 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" // } ``` **Java** ```java // Maven: ai.webscraping:webscraping-ai:4.2.0 // 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" // } ``` **C#** ```csharp // 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 { ["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" // } ``` Got the company's LinkedIn URL? The [LinkedIn Scraper API](https://webscraping.ai/linkedin-scraper-api) turns it into follower count, size band, industry and office locations as JSON, 15 credits per page. ## Benefits for Sales Teams **Faster Prospecting:** Build lead lists programmatically instead of copying them by hand. **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](https://webscraping.ai/use-cases/sales-intelligence): Gather competitive insights to inform your sales strategy. [CRM Enrichment](https://webscraping.ai/use-cases/crm-enrichment): Enhance existing leads with additional company data. [Competitor Analysis](https://webscraping.ai/use-cases/competitor-content-analysis): Understand competitor positioning and messaging. ## Start Generating Leads Today Get started with 2,000 free API credits. No credit card required. [Start Free Trial](https://webscraping.ai/auth/sign_up)[View API Documentation](https://webscraping.ai/docs)