This scraper pulls structured business information from local directory listings and organizes it into a clean CSV. It solves the common challenge of collecting verified contact details at scale while keeping the data accurate, deduplicated, and well-formatted. Ideal when you need reliable business leads from Yellow Pages–style directories.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project automates the extraction of business contact data from a local directory. It collects names, addresses, emails, and classification details, then outputs all results in a structured CSV.
It’s designed for researchers, agencies, and teams gathering local business insights without manually browsing hundreds of listings.
- Helps generate reliable contact lists for outreach or research.
- Saves hours normally spent gathering business details one-by-one.
- Produces consistent, structured data ready for analytics tools.
- Ensures accuracy and avoids duplicates across large datasets.
- Useful when directory platforms don’t offer bulk export options.
| Feature | Description |
|---|---|
| Automates directory navigation | Handles pagination and extracts all visible listings. |
| Accurate business parsing | Captures names, emails, addresses, and business categories. |
| Duplicate prevention | Built-in checks avoid repeated entries in the CSV. |
| Clean CSV output | Produces properly structured rows for immediate use. |
| Lightweight architecture | Uses Requests and BeautifulSoup for fast, dependable scraping. |
| Field Name | Field Description |
|---|---|
| business_name | The name of the business or individual listed. |
| Contact email extracted from the listing or detail page. | |
| address | Full physical address of the business. |
| business_type | Category, niche, or specialization. |
| source_url | URL of the listing scraped. |
[
{
"business_name": "Downtown Dental Clinic",
"email": "info@downtowndentalclinic.com",
"address": "124 Main Street, Springfield",
"business_type": "Dentist",
"source_url": "https://yellowpages.com/listing/downtown-dental"
}
]
yellowpages-bs4-business-contacts-scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── directory_parser.py
│ │ └── validators.py
│ ├── outputs/
│ │ └── csv_writer.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.txt
│ └── sample-output.csv
├── requirements.txt
└── README.md
- Local marketers extract verified leads so they can launch targeted outreach campaigns.
- Research teams gather structured business data to analyze industry presence in specific regions.
- Agencies automate contact list building to reduce repetitive manual work.
- Business analysts collect niche-specific listings to study market trends.
- Software teams integrate directory data into internal dashboards or CRM pipelines.
Does this scraper support pagination? Yes, it automatically follows pagination links and aggregates all listings into one dataset.
Can it handle directories similar to Yellow Pages? It’s structured to support any directory with predictable HTML layouts and list/detail pages.
Is duplicate filtering included? Yes, the scraper performs checks to avoid repeated entries, especially in multi-page directories.
How customizable is the extraction logic? Field selectors and parsing rules are modular, making it easy to adapt to variations in directory structure.
Primary Metric: Processes roughly 200–300 listings per minute on a typical broadband connection using lightweight HTML parsing.
Reliability Metric: Achieves a stable 98% scrape success rate across multi-page directory runs.
Efficiency Metric: Memory footprint stays low due to streamed requests and minimal overhead.
Quality Metric: Delivers over 95% data completeness for listings containing visible contact fields.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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