web-Leads-Scraper

This scraper pulls complete, accurate, and fully verified lead data from online sources. It focuses on gathering clean, up-to-date contact details and organizing them in a structured format. The goal is to help teams work faster with reliable information that’s ready for immediate use.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for web-leads-scraper you've just found your team — Let’s Chat. 👆👆

Introduction

This project automates data research and lead extraction from websites, directories, and public sources. It solves the challenge of collecting verified contacts at scale without the usual manual grind. Ideal for teams that depend on fresh, trustworthy data for outreach, analysis, or list building.

Why Verified Lead Extraction Matters

• Ensures teams work with trustworthy, validated contact information.
• Removes manual guesswork by automating data collection and verification.
• Delivers repeatable, organized lead sheets that scale without extra effort.
• Reduces human error by enforcing structured validation logic.
• Speeds up research workflows with consistent, fast scraping output.

Features

Feature	Description
Automated Lead Scraping	Efficiently crawls target sources to extract business details and contact data.
Email & Phone Verification	Uses verification logic to ensure only validated info is included.
Flexible Input Sources	Supports URLs, domain lists, or predefined datasets.
Structured Excel Export	Produces neatly formatted sheets ready for teams or tools.
Noise Filtering	Removes duplicates, outdated entries, and inconsistent data.
Real-Time Updating	Fetches the latest available information from target sources.

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What Data This Scraper Extracts

Field Name	Field Description
name	Full name of the person or contact.
company	Business or organization associated with the contact.
title	Job title or role.
email	Verified and validated email address.
phone	Clean, formatted phone number if available.
website	Company or contact website.
linkedin	Public LinkedIn profile URL.
location	Geographic area of the contact or company.

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Example Output

[
  {
    "name": "John Doe",
    "company": "Example Corp",
    "title": "Marketing Manager",
    "email": "john.doe@example.com",
    "phone": "+1 555 123 4567",
    "website": "https://example.com",
    "linkedin": "https://linkedin.com/in/johndoe",
    "location": "New York, USA"
  }
]

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Directory Structure Tree

web-leads-scraper/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── lead_parser.py
│   │   └── verification_tools.py
│   ├── outputs/
│   │   └── excel_exporter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.txt
│   └── sample_leads.json
├── requirements.txt
└── README.md

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Use Cases

• Sales teams use it to gather verified leads, so they can launch outreach campaigns with confidence.
• Researchers rely on it to compile structured datasets without tedious manual searching.
• Recruiters extract professional profiles to speed up candidate sourcing with clean records.
• Marketing analysts collect industry-specific contacts to create targeted lists for campaigns.
• Founders quickly build contact databases to connect with potential partners or prospects.

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FAQs

Does the scraper verify contact details? Yes — verification logic checks email validity, formats phone numbers, and cleans inconsistent entries.

Can it extract leads from multiple sources? It supports website lists, directories, and domain-based discovery, depending on the configuration.

Is the output formatted? All results are exported in structured Excel and JSON formats for easy review and use.

Does it handle duplicates and outdated data? Yes — the scraper performs deduplication and removes stale or invalid entries automatically.

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Performance Benchmarks and Results

Primary Metric: Processes up to several hundred leads per minute depending on target complexity. Reliability Metric: Consistently maintains a high success rate when verifying contact information. Efficiency Metric: Optimized request handling keeps resource usage steady even during large batches. Quality Metric: Outputs exhibit strong data completeness, with high precision in validated fields.

“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington Marketer ★★★★★

“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza SEO Affiliate Expert ★★★★★

“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed Digital Strategist ★★★★★