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Boosting-“Near-Me”-Visibility-for-a-Restaurant-Chain-Using-SEO-Scraped-Listings

Client Overview

A popular quick-service restaurant (QSR) chain in Southern India, with a strong focus on regional delicacies like biryani, approached Actowiz Solutions with a specific goal: dominate local search visibility for keywords such as "best biryani near me" and "top biryani restaurant nearby." Despite a loyal customer base, they faced fierce competition from newer, tech-savvy players leveraging SEO more effectively.

🎯 Business Goal

The primary objective was to:

  • Increase organic visibility on platforms like Google Search and Maps
  • Boost footfall through location-based discovery
  • Improve online presence across third-party listing platforms like Zomato, Google Maps, and Yelp
  • Drive more user engagement and conversions through enriched listings

🔍 Challenges

Challenges

1. Lack of SEO-optimized Content: Most store pages lacked local SEO elements such as unique titles, descriptions, and localized keywords.

2. Inconsistent Listings Across Platforms: Google Maps, Yelp, and Zomato showed different NAP (Name, Address, Phone) information.

3. Underutilized Review Data: Existing reviews were not being leveraged for keyword extraction and reputation building.

4. Aggressive Competitors: Competing chains were already investing in hyperlocal campaigns and had better-optimized Google Business Profiles.

🛠️ Solution: Data Scraping + Local SEO Strategy

Solution-Data-Scraping-+-Local-SEO-Strategy
Phase 1: SEO Data Scraping with Actowiz Solutions

Actowiz used custom-built web scraping tools to extract real-time data from:

  • Google Maps: Reviews, star ratings, photos, peak hours, and keyword mentions
  • Yelp: User-generated tags, location metadata, and top review highlights
  • Zomato: Menu items, prices, keyword-optimized dishes, ratings, and food tags
Extracted Data Sample:
Platform Data Extracted
Google Maps Review text, keyword frequency, star ratings
Yelp Tags like “spicy biryani”, “budget-friendly”
Zomato Menu names, category tags, pricing & location data
Phase 2: SEO Enrichment & Page Creation

The SEO agency, armed with the scraped data, created hyperlocal landing pages for each outlet. Key actions included:

  • Integrating long-tail keywords like “authentic Hyderabadi biryani in [location]”
  • Embedding scraped review excerpts on the pages to add real user voice
  • Optimizing for semantic search using NLP-analyzed terms from reviews
  • Using competitor menu items and positioning to stand out

Example:

“Our [Jayanagar outlet] is top-rated for budget-friendly Hyderabadi biryani according to Google reviews!”

Phase 3: Consistency and Listing Optimization

Using the scraped data, inconsistencies across platforms were corrected. Actowiz auto-updated:

  • Restaurant names and formats
  • Opening hours and categories
  • High-quality food images pulled from Zomato and Google

📈 Results: 40% Increase in Local Search Ranking

Within 2 months, the restaurant chain saw a measurable boost in visibility.

📊 Ranking Performance Growth (as shown in the chart)

Month Local Ranking Improvement

Month 0 Baseline

Month 1 +25%

Month 2 +40%

Keyword Tracked: “Best Biryani Near Me”

Google My Business (GMB) analytics revealed:

  • 47% increase in calls from Google listings
  • 32% more direction requests
  • 19% uptick in website visits

📌 Infographic: Key Data-Driven SEO Tactics

Infographic-Key-Data-Driven-SEO-Tactics

💡 Why This Worked

  • Relevance: Scraped data helped craft highly relevant content around what users were actually searching for.
  • Volume: Bulk scraping enabled rapid scaling of insights across 80+ locations.
  • Accuracy: Up-to-date competitor data ensured the QSR chain stayed one step ahead.
  • SEO Synergy: Local landing pages aligned with Google's local ranking algorithm pillars—relevance, proximity, and prominence.

🧠 Expert Insights

“What Actowiz Solutions enabled was not just data collection—it was insightful SEO enablement. By understanding the language of customer reviews and competitor positioning, we could build pages that Google wanted to serve.”

— SEO Strategist, Partner Agency

🔧 Tech Stack Used

  • Python + Scrapy for scraping
  • Google Natural Language API for keyword tagging
  • Custom NAP checker bot for cross-platform validation
  • Schema.org markup for local business metadata

📚 Dataset Example: Extracted Keywords from Google Reviews

Review Snippet Keywords Identified
“Loved the spicy biryani in Jayanagar” spicy biryani, Jayanagar
“Best place for family lunch on weekends” family lunch, weekends
“Great value for money biryani combo” value for money, biryani combo

These keywords were then mapped directly into the meta descriptions and H2 headers of the landing pages.

✅ Conclusion

This case study highlights how Actowiz Solutions enabled a data-driven SEO transformation through web scraping. By extracting location-specific insights and optimizing each outlet’s digital footprint, the QSR brand experienced a 40% increase in visibility and a significant rise in engagement within two months.

If you're a local business or SEO agency looking to power your strategy with smart, actionable data—Actowiz Solutions is your ideal partner.