Proxies for Scraping Business Directories (Yellow Pages, Yelp, Google Maps)

Business directories remain one of the most valuable data sources for B2B lead generation. Google Maps alone contains information on millions of businesses worldwide, including company names, addresses, phone numbers, websites, reviews, and operating hours. Yellow Pages and Yelp add additional layers of categorization, customer feedback, and business descriptions.

Scraping these directories at scale requires reliable proxy infrastructure. This guide covers the technical approach to extracting business data from major directories while avoiding blocks and maintaining data quality.

Why Business Directories Matter for B2B Sales

Business directories contain structured data that is ideal for lead generation:

Contact information: Business name, phone number, address, email, and website
Business categorization: Industry, services offered, and business type
Social proof: Customer reviews, ratings, and review counts
Operational data: Hours of operation, price range indicators, and service areas
Digital presence: Website URLs, social media links, and photos

For teams targeting Southeast Asian markets, local business directories provide data that global databases often miss. Small and medium businesses in Singapore, Malaysia, Indonesia, and other SEA countries may not appear in LinkedIn or Crunchbase but are well-represented in Google Maps and local Yellow Pages directories.

Google Maps Scraping

The Data Opportunity

Google Maps is the largest business directory in the world. For any geographic area, you can find:

Business listings with contact details
Customer reviews and ratings
Popular times and visitor patterns
Business attributes (wheelchair accessible, outdoor seating, etc.)
Photos uploaded by the business and customers
Questions and answers from customers

Anti-Scraping Measures

Google employs sophisticated anti-scraping defenses:

Request rate monitoring: Aggressive throttling after a small number of rapid requests
JavaScript rendering: Much of the data loads dynamically through JavaScript
CAPTCHA challenges: reCAPTCHA v3 that runs in the background
Session fingerprinting: Browser fingerprint analysis that detects automation
Geographic validation: Cross-referencing request IP location with search queries

Proxy Strategy for Google Maps

Recommended proxy type: Mobile proxies

Google Maps is one of the most challenging targets for scraping. Mobile proxies provide the highest success rates because Google trusts mobile carrier IPs implicitly — blocking them would affect Android and iOS Maps users.

DataResearchTools’ SEA mobile proxies match the geographic context of local business searches. Use sticky sessions of 10-15 minutes per search area. Rotate IPs between different geographic searches. Match proxy location to search area when possible.

Rate limiting:

Maximum 3-5 requests per minute per IP
Random delays of 5-15 seconds between page loads
Include scroll simulation and map interaction delays

Google Maps Scraping Approach

Define search queries: Combine business categories with locations
Execute searches: Navigate to Google Maps and perform each search
Scroll through results: Google Maps loads results progressively as you scroll
Extract listing data: Collect business names, ratings, and addresses from the results list
Visit individual listings: Click into each listing for full details
Paginate: Some searches require loading additional results

Yelp Scraping

Proxy Strategy for Yelp

Recommended proxy type: Residential or mobile proxies

Yelp is moderately difficult to scrape. Residential proxies work for basic data extraction, but mobile proxies from DataResearchTools provide better reliability for high-volume operations.

Yelp Scraping Approach

Category-based searching: Use Yelp’s category taxonomy to find businesses by type and location
Search result extraction: Collect business names, ratings, review counts, and categories
Detail page scraping: Visit individual business pages for full information
Review collection: Paginate through reviews for sentiment analysis data
Photo extraction: Collect business photos for verification and enrichment

Yellow Pages Scraping

Recommended proxy type: Datacenter or residential proxies

Yellow Pages sites are easier to scrape. However, for SEA-specific directories, using local IPs is important for accessing geo-restricted content. DataResearchTools offers cost-effective proxy options suitable for Yellow Pages scraping across all major Southeast Asian markets.

Regional SEA Business Directories

Beyond the global directories, Southeast Asian markets have valuable local directories:

Singapore: SGPBusiness, ACRA BizFile, Singapore Yellow Pages
Malaysia: Malaysia Yellow Pages, MyBusiness Directory, SSM
Indonesia: Yellow Pages Indonesia, Indonesia Business Directory
Thailand: Thai Trade Directory, Thailand Yellow Pages, DBD
Philippines: Philippine Yellow Pages, DTI Business Name Registration
Vietnam: Vietnam Yellow Pages, Vietnam Business Directory

For all of these local directories, using mobile proxies from the correct country is important. DataResearchTools provides carrier-level mobile IPs from each of these markets.

Data Extraction and Processing

Structuring Directory Data

Standardize your scraped data into a consistent schema covering business name, address, phone, email, website, category, rating, review count, price range, hours, description, source, scrape date, and geo coordinates.

Cross-Source Deduplication

When scraping the same businesses from multiple directories:

Phone number matching: The most reliable deduplication key
Address normalization: Standardize addresses before comparing
Fuzzy name matching: Account for slight variations in business names
Website domain matching: Compare domain names after stripping prefixes

Data Validation

Validate scraped data before it enters your lead database by verifying phone number format, email format, website accessibility, and address against postal code databases.

Scaling Directory Scraping

Proxy Pool Sizing

Google Maps: 1 mobile proxy IP can process approximately 200-300 businesses per day
Yelp: 1 residential proxy IP can process approximately 500-800 businesses per day
Yellow Pages: 1 datacenter proxy can process approximately 2,000-5,000 businesses per day

DataResearchTools mobile proxy plans provide sufficient IP rotation for all of these directories.

Geographic Coverage Strategy

For SEA market coverage, plan your scraping in geographic waves:

Priority cities first: Singapore, Kuala Lumpur, Jakarta, Bangkok, Manila, Ho Chi Minh City
Secondary cities: Penang, Surabaya, Chiang Mai, Cebu, Da Nang
Regional coverage: Smaller cities and towns as needed

Integrating Directory Data into Your Sales Pipeline

Lead Scoring

Use directory data to score leads:

Review count and rating: Higher values suggest established businesses
Website presence: Businesses with websites are more accessible
Category alignment: Match against your ideal customer profile
Location: Prioritize businesses in your target areas

Outreach Automation

Connect directory data to your outreach tools:

Create segmented prospect lists based on category and location
Personalize outreach using review data and business descriptions
Schedule follow-ups based on business hours data

Handling Review Data for Sales Intelligence

Business directory reviews contain rich qualitative data that goes beyond simple ratings. Analyze review text to identify businesses experiencing growth signals such as mentions of expansion, new locations, or increased demand. Reviews that mention specific pain points reveal what challenges a business faces, helping you tailor your outreach messaging to address those exact issues.

Sentiment analysis on review data helps segment your prospect list by business health. Companies with consistently positive and increasing review volumes are likely growing and investing. Companies with declining ratings or complaints about specific operational areas may need solutions that address those weaknesses. DataResearchTools mobile proxies enable the sustained scraping of review pages needed to build this longitudinal sentiment dataset across all your target markets.

Track review velocity as a growth indicator. A business receiving 20 new reviews per month is likely experiencing higher customer volume than one receiving 2 reviews per month. Combine review velocity with rating trends to identify businesses on an upward trajectory that are most likely to invest in new tools and services.

Competitive Landscape Mapping

Directory data enables powerful competitive landscape analysis. For any business category in any geographic area, you can map every competitor, their relative ratings, review volumes, and service offerings. This competitive map serves two purposes for your B2B sales efforts.

First, it helps you understand the market dynamics of your prospects’ industries. When you approach a restaurant supply company in Singapore, knowing that the local restaurant market has grown by 15% based on new Google Maps listings gives you a compelling data point for your pitch. Second, competitive maps help you identify market gaps and underserved segments where businesses may be most receptive to new solutions.

Build automated competitive landscape reports for your target industries across SEA markets. Use DataResearchTools country-specific mobile proxies to ensure complete coverage of local business listings in each market. Update these landscapes monthly to track market evolution and identify emerging opportunities for your sales team.

Photo and Media Analysis

Business listing photos provide visual intelligence that text data cannot capture. Photos reveal the size and condition of business premises, the types of equipment and technology in use, staffing levels visible in workplace photos, and the general sophistication of the operation. A retail store with professional product photography and a modern interior is a different prospect than one with a single blurry storefront photo.

While automated image analysis requires additional tooling, even manual review of prospect photos during the qualification stage provides valuable context. Include photo URLs in your scraped data schema so that sales representatives can quickly assess business sophistication during their prospect research.

Conclusion

Business directories are foundational data sources for B2B lead generation, particularly in Southeast Asian markets where other data sources may be limited. Google Maps, Yelp, Yellow Pages, and regional directories each offer unique data that, when combined, creates comprehensive business profiles.

Reliable proxy infrastructure is the key to scraping these directories at scale. Mobile proxies from DataResearchTools provide the trust scores and geographic coverage needed for Google Maps, while residential and datacenter options handle less-protected directories cost-effectively.

Build your directory scraping pipeline systematically — start with your highest-priority market and directory, validate your data processing, then expand to additional sources and geographies as your infrastructure matures.