Unlock structured, high-quality small business data with this Manta Scraper, designed to extract targeted leads with precision and speed. It helps sales teams, marketers, and researchers gather actionable business information directly from Manta. This scraper delivers clean, organized data for outreach, analysis, and competitive research.
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This scraper automates the extraction of business listings from Manta, focusing on names, contact information, categories, and locations. It solves the challenge of manually collecting local business leads and enables scalable outreach campaigns. Ideal for sales teams, marketing agencies, market researchers, and entrepreneurs who rely on accurate business intelligence.
- Extract detailed business data including name, address, phone, email, and category.
- Filter data by states, cities, or specific business categories.
- Scrape multiple listings across diverse industries at once.
- Customize scraping scope with flexible input parameters.
- Optimized for speed, reliability, and clean structured outputs.
| Feature | Description |
|---|---|
| Location-based filtering | Scrape leads by specifying states or cities for highly targeted datasets. |
| Multi-category extraction | Collect listings from multiple business categories simultaneously. |
| High-volume scraping | Efficiently extract hundreds or thousands of listings in a single run. |
| Customizable configuration | Input schema supports max item limits and optional filters. |
| Resilient session handling | Automatically rotates sessions to maintain uninterrupted scraping. |
| Field Name | Field Description |
|---|---|
| name | Business name as listed on Manta. |
| address | Complete physical address including city and ZIP code. |
| phone | Publicly listed contact phone number. |
| Extracted email address when available. | |
| category | Business category or service classification. |
[
{
"name": "Chicagoland Heating Cooling and Refrigeration",
"address": "1234 Oak St, Chicago, IL 60601",
"phone": "(555) 123-4567",
"email": "[email protected]",
"category": "Heating & Cooling"
},
{
"name": "Hayes Mechanical LLC",
"address": "4321 Maple Ave, Chicago, IL 60602",
"phone": "(555) 765-4321",
"email": "[email protected]",
"category": "Refrigeration"
}
]
Manta Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── manta_parser.py
│ │ └── utils_normalize.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Sales teams use it to collect targeted local business leads so they can run personalized outreach campaigns.
- Marketing agencies use it to build client prospect lists, helping them scale acquisition without manual research.
- Entrepreneurs use it to understand market saturation and discover competitors in specific service categories.
- Data analysts use it to enrich datasets for local business intelligence and trend reports.
- Local service providers use it to identify potential partnerships or B2B opportunities in nearby regions.
1. Can I scrape multiple states or categories at once? Yes, simply include multiple state abbreviations or categories in the input arrays, and the scraper will process each combination.
2. What happens if a business listing has no email address? The scraper will still extract all other available fields and leave the email field empty when not provided.
3. How many items can I scrape in one run?
Use the maxItems parameter to set your desired limit. Large-scale extractions are supported through optimized concurrency.
4. Does this scraper avoid IP blocking? Yes, it supports proxy usage and includes built-in session rotation mechanisms to reduce blocking and maintain stable performance.
Primary Metric: Processes an average of 120–180 listings per minute under typical network conditions.
Reliability Metric: Maintains a 96–98% successful extraction rate across diverse business categories.
Efficiency Metric: Optimized for low resource usage, enabling high-volume scraping with minimal overhead.
Quality Metric: Delivers consistently structured data with over 95% field completeness across tested regions.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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