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Universal Playwright Leads Scraper

This project delivers a modular, production-grade lead generation scraper built on top of Playwright, proxy rotation, and API-based enrichment. It adapts to any niche with configuration-only setup, giving you a flexible engine for capturing structured lead data at scale.

The scraper blends stealth browser automation, official APIs, enrichment services, and resilient crawling strategies to produce high-quality leads with minimal manual overhead.

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Introduction

This scraper automates end-to-end lead acquisition across arbitrary industries by combining browser-based extraction, official data APIs, and enrichment pipelines. It solves the recurring challenge of gathering verified, structured leads without rewriting code for each new niche. It’s built for teams who need a reliable, configurable lead engine that scales effortlessly.

Why Modular Lead Extraction Matters

  • Lets you target new industries with configuration rather than custom development.
  • Produces clean, enriched lead profiles ready for outreach workflows.
  • Uses Playwright with stealth and proxies to minimize blocking and maintain high uptime.
  • Integrates official APIs for trustworthy and structured supplemental data.
  • Supports enrichment from multiple sources, improving completeness and accuracy.

Features

Feature Description
Modular niche configuration Add new verticals via JSON/YAML config without modifying code.
Playwright stealth automation Bypasses common anti-bot checks with real-browser behavior.
Rotating residential proxies Reduces detection and maintains consistent scraping throughput.
API integration layer Supports Google Search/Places, Socrata, OpenCorporates, SerpAPI, and more.
Enrichment pipeline Attaches emails, domains, social profiles, and business data from third-party APIs.
Queue-based crawling Ensures stable, resumable, and distributed scraping sessions.
Schema-driven output Produces consistent lead objects across all industries.

What Data This Scraper Extracts

Field Name Field Description
business_name The extracted company or entity name.
website Primary domain associated with the lead.
phone Publicly listed contact number.
email Direct or enriched email address.
address Physical location, normalized when possible.
source_url URL where the entity was discovered.
category Industry or vertical classification from config.
enrichment_score A quality score based on available data signals.
social_links Extracted or enriched social media URLs.
metadata Additional structured attributes from official APIs.

Example Output

[
    {
        "business_name": "Acme Digital Services",
        "website": "https://acmedigital.com",
        "phone": "+1 555 219 8821",
        "email": "info@acmedigital.com",
        "address": "742 Evergreen Rd, Springfield, IL",
        "source_url": "https://example-directory.com/company/acme-digital",
        "category": "marketing-agencies",
        "enrichment_score": 0.92,
        "social_links": {
            "linkedin": "https://linkedin.com/company/acme-digital"
        },
        "metadata": {
            "google_places_id": "ChIJr-Tm98xE",
            "open_corporates_id": "US-DE-5559012"
        }
    }
]

Directory Structure Tree

universal-playwright-leads-scraper/
├── src/
│   ├── runner.js
│   ├── browser/
│   │   ├── playwright_client.js
│   │   └── proxy_manager.js
│   ├── extractors/
│   │   ├── html_scraper.js
│   │   ├── api_fetchers.js
│   │   └── enrichment_pipeline.js
│   ├── config/
│   │   ├── niches/
│   │   │   ├── marketing-agencies.json
│   │   │   └── real-estate.json
│   │   └── settings.example.json
│   ├── output/
│   │   └── exporters.js
│   └── utils/
│       ├── schema_validator.js
│       └── logger.js
├── data/
│   ├── inputs.sample.json
│   └── sample_output.json
├── package.json
└── README.md

Use Cases

  • Sales teams use it to collect targeted leads across multiple industries, so they can expand outreach systematically.
  • Market researchers use it to map businesses and competitors, helping them spot patterns and whitespace opportunities.
  • Agencies use it to onboard clients from new niches quickly without building custom scrapers each time.
  • Data teams use it to enrich incomplete datasets, improving model performance and analytical accuracy.
  • Product teams use it to populate internal databases with structured business information at scale.

FAQs

Can I add new niches without touching the code? Yes—each vertical is defined in a configuration file describing selectors, API usage, and enrichment rules.

Does the scraper work with rotating proxies? The engine supports multiple proxy providers and automatically distributes traffic across residential or datacenter pools.

Which APIs are supported? The integration layer includes Google Search/Places, OpenCorporates, Socrata/OpenData, and SerpAPI. Additional APIs can be added through config.

How does enrichment improve lead quality? The pipeline aggregates signals from third-party services to attach emails, domains, social profiles, and identifiers, resulting in more complete lead objects.


Performance Benchmarks and Results

Primary Metric: Processes an average of 180–300 high-quality leads per minute depending on niche complexity.

Reliability Metric: Maintains a 97%+ completion rate across long-running scraping sessions with proxy rotation enabled.

Efficiency Metric: Uses concurrent browser workers to maximize throughput while keeping resource consumption predictable.

Quality Metric: Achieves 90–95% data completeness after enrichment, with consistent schema across all industries.

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