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Navratri Mega Sale Price Tracking

About the Client

Location: Orange County, California, USA

Industry: Pet Care & Veterinary Services

Objective: To build a comprehensive, accurate, and deduplicated list of pet-related businesses across Los Angeles, Orange, San Bernardino, and Riverside Counties.

The client wanted a verified marketing database covering:

  • Mobile groomers
  • Dog groomers
  • Pet supply stores
  • Pet boarding/daycare centers
  • Animal shelters and rescues
  • Equine and exotic pet services
  • Veterinarians and animal hospitals

The database would be used for targeted outreach, market mapping, and lead generation.

Actowiz Solutions was selected for its proven expertise in local business data scraping, enrichment, and verification workflows.

The Challenge

Navratri Mega Sale Price Tracking

Collecting clean and current business data from platforms like Google Maps and Yelp is complex due to the following challenges:

Duplicate Listings:

The same business often appears across Google, Yelp, and social media with small variations in spelling, phone numbers, or formatting.

Dynamic Web Structures:

Google Maps listings use dynamic JavaScript rendering, while Yelp uses structured but inconsistent HTML, requiring hybrid scraping techniques.

Missing or Unverified Contacts:

Many mobile groomers and small clinics operate via Instagram or Facebook only, with no website or email listed.

County Boundary Overlaps:

Cities like Anaheim or Pomona overlap between counties — requiring geospatial filtering by ZIP and county code.

Data Accuracy Standards:

The client demanded 95%+ verified accuracy for addresses, phone numbers, and business categories.

Ethical Compliance:

All data had to be collected following Google's and Yelp's public access rules, respecting rate limits, robots.txt, and no CAPTCHA bypassing.

Project Goals

Navratri Mega Sale Price Tracking

Actowiz Solutions was tasked to:

  • Create a complete, deduplicated business directory for eight pet industry categories in four SoCal counties.
  • Verify each entry's contact details and web/social presence.
  • Deliver a master spreadsheet with standardized columns and clean formatting.
  • Provide a Data Quality Report outlining source coverage, dedupe logic, and known gaps.

Project Scope

Target Counties:
  • Los Angeles County
  • Orange County
  • San Bernardino County
  • Riverside County
Target Categories:
  • Mobile Dog Groomers
  • Dog Groomers (Stationary)
  • Pet Shops / Pet Supply Stores
  • Pet Boarding / Daycare
  • Animal Shelters / Rescues
  • Equine / Exotic Pet Services
  • Veterinarians
  • Pet Hospitals

Technology Stack

Function Tools Used
Core Scraping Python (Scrapy + Playwright + BeautifulSoup)
Data Sources Google Maps, Yelp, Facebook, Instagram
Data Storage MySQL, CSV
Verification Regex validation + Google Places API
Enrichment Email discovery from official sites
Cleaning Pandas for standardization
Delivery Google Sheets + CSV export

Scraping Architecture

[ Google Maps + Yelp + Facebook + Instagram ]  ↓ [ Scrapy + Playwright (Hybrid Crawler) ]  ↓ [ Data Extraction (Name, Address, Category, Contact Info) ]  ↓ [ Verification & Dedupe Module (Fuzzy Matching + ZIP Filter) ]  ↓ [ Data Enrichment (Emails, Social URLs, Notes) ]  ↓ [ Output → Clean CSV + Google Sheet + Quality Report ]

This modular system ensured fast execution, accuracy, and scalability while keeping the pipeline compliant with all source terms.

Data Fields Captured

Field Description
Business Name Official name from verified source
Category One of 8 pet service categories
Address Street, City, State (CA), ZIP, County
Phone Standardized format (###) ###-####
Email Public business contact only
Website Verified from Google/Yelp or business site
Instagram / Facebook URL Extracted where available
Notes Special remarks (e.g., "mobile-only", "house-call vet")
Source e.g., Google Maps; Yelp; Website

Sample Dataset (Illustrative Example)

Business Name Category Street Address City County Phone Email Website Instagram Notes Source
The Pup Spa Mobile Grooming Mobile Groomer 1124 N Harbor Blvd Fullerton Orange (714) 678-1122 info@pupspaoc.com pupspaoc.com instagram.com/pupspaoc Mobile-only, serves OC Google Maps, Yelp
Bark & Brush Pet Salon Dog Groomer 2719 W Magnolia Blvd Burbank Los Angeles (818) 843-2747 contact@barkbrush.com barkbrush.com Walk-in salon Yelp
VCA Animal Hospital Pet Hospital 5301 E 2nd St Long Beach Los Angeles (562) 434-9966 vcahospitals.com facebook.com/vcalb Accepting new patients Google Maps
Petco Riverside Plaza Pet Shop 3456 Central Ave Riverside Riverside (951) 343-2020 petco.com Retail chain Google Maps
Gentle Paws Vet Clinic Veterinarian 1990 W Redlands Blvd Redlands San Bernardino (909) 555-2098 hello@gentlepaws.com gentlepawsclinic.com instagram.com/gentlepawsclinic House-call services available Yelp

Data Deduplication Logic

To ensure one record per business per location, Actowiz Solutions applied:

  • Fuzzy name matching (Levenshtein distance ≤ 0.2).
  • Address normalization via Google Maps API geocoding.
  • Phone number validation (primary key for duplicates).
  • Multi-source merge preference order:Google Maps → Yelp → Business Website → Social Media.

Duplicates were automatically merged while preserving unique addresses for franchise or multi-branch locations.

Data Verification Process

Step Validation Method
Address Check Cross-checked via Google Geocoding API
Email Validation Syntax + MX record verification
Phone Validation Pattern + active status check
Website & Links HTTP 200 OK response verification
Social Profiles Validity and relevance filtering
County Accuracy Based on ZIP → County map lookup

Accuracy Achieved: 97.8% verified contact data across all counties.

Infographic Concept – "End-to-End Local Business Scraping Workflow"

Navratri Mega Sale Price Tracking

Chart: Businesses by Category (Sample Visualization)

Category Count (Approximate)
Dog Groomers 820
Mobile Groomers 210
Pet Supply Stores 540
Pet Boarding / Daycare 390
Animal Shelters / Rescues 130
Equine & Exotic Services 65
Veterinarians 480
Pet Hospitals 220

Insight: Dog groomers and veterinarians represent nearly 55% of all pet-related businesses across the region.

Project Results

Metric Outcome
Total Businesses Collected 2,855
Unique Verified Records 2,642
Accuracy Level 97.8%
Verified Emails 1,420
Social Links (FB/IG) 2,230
Counties Covered 4
Data Age < 90 days
Format Delivered Google Sheet + CSV

Data Quality Summary

Sources Used
  • Google My Business (via Maps search results)
  • Yelp.com category listings
  • Verified business websites
  • Facebook and Instagram public pages
Known Gaps
  • Some small mobile groomers with no online presence.
  • A few rescues with private social media only.
  • Limited email availability for chain retail stores (Petco, Petsmart).
Verification
  • 95%+ contact and location accuracy achieved.
  • 100% geocoded and categorized by county.

Implementation Timeline

Phase Duration Description
Planning & Setup 2 Days Defined categories, target counties, and filters
Scraper Development 3 Days Built hybrid Playwright + Scrapy crawler
Data Extraction 4 Days Collected listings from Google Maps & Yelp
Cleaning & De-duplication 2 Days Removed duplicates and enriched records
Verification & QA 2 Days Manual + automated validation
Final Delivery 1 Day Sheet delivery + data quality report
Total Duration ~14 Days End-to-end completion

Impact for the Client

  • Unified Marketing Dataset: One verified master sheet covering all pet industry businesses in Southern California.
  • Time Saved: Automated extraction replaced hundreds of manual searches.
  • Higher Campaign Efficiency: Verified contacts and county-wise segmentation improved email and phone outreach success rates.
  • Future Scalability: The scraper can be re-run quarterly to maintain freshness.

Client Testimonial

“Actowiz Solutions provided exactly what we needed — a clean, verified business dataset with consistent formatting. Their de-duplication and social enrichment were spot-on, saving our marketing team weeks of research.”

— Marketing Director, Pet Service Company (Orange County, CA)

Compliance & Ethics

Scraped only publicly accessible data from Google, Yelp, and official business websites.

No CAPTCHAs, private APIs, or restricted endpoints used.

Adhered to robots.txt and platform fair-use policies.

Personal emails excluded unless published as official business contact.

Actowiz Solutions ensures all projects are 100% compliant, secure, and ethically executed.

Why Actowiz Solutions

  • Expertise in multi-source local business scraping.
  • Strong data cleaning, de-duplication, and validation pipelines.
  • Experience across sectors: retail, healthcare, hospitality, and real estate.
  • Proven delivery of accurate, outreach-ready datasets for B2B marketing teams.

Future Enhancements

Conclusion

This case study highlights how Actowiz Solutions helped a California-based client automate and organize thousands of local business listings across the pet care industry.

By using a compliant, scalable scraping framework and advanced deduplication logic, Actowiz Solutions delivered a verified, marketing- ready dataset — covering all active groomers, veterinarians, and pet care facilities across four Southern California counties.

The client now benefits from accurate, real-time business intelligence and a foundation for smarter outreach campaigns.

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                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [fr] => Amérique du Nord
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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            [location] => Array
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            [postal] => Array
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            [registered_country] => Array
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                            [ru] => США
                            [zh-CN] => 美国
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                )

            [subdivisions] => Array
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                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
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                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [code] => NA
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                    [names] => Array
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                            [fr] => Amérique du Nord
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

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            [validAttributes:protected] => Array
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                            [ru] => США
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            [validAttributes:protected] => Array
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        )

    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
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            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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    [traits:protected] => GeoIp2\Record\Traits Object
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                    [14] => isTorExitNode
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                    [20] => userCount
                    [21] => userType
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        )

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            [validAttributes:protected] => Array
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        )

    [subdivisions:protected] => Array
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                                    [en] => Ohio
                                    [es] => Ohio
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                                    [ja] => オハイオ州
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                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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                        )

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                    [validAttributes:protected] => Array
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)
 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

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