Automated Google SERP and Map-Pack Ranking Tracker
Opportunity Summary
This project replaces a manual quarterly ranking workflow with an automated system. The system will take a spreadsheet of clients, websites, locations, and keywords, then search Google for each keyword, check only the first page results, and record the client’s presence, organic rank, and matching ranking URL. It will also detect whether the business appears in the local map pack on that first page, separating regular listings from map listings. The solution must avoid false matches for similarly named businesses. You should recommend and implement a dependable approach, with optional integration using a SERP API or alternative data collection methods, and provide an easy way to re-run rankings for a specific client.
Ideal Candidate
An automation-focused engineer who has built SERP tracking or web data pipelines and cares about data quality, idempotent runs, and maintainable architecture. Strong understanding of local search and map-pack result structures is a plus.
Project Insights
- Clarify matching rules using business name plus website domain and location signals
- Recommend a modular design so the system can switch SERP providers if needed
How to Prepare
- Describe how you will validate match accuracy and prevent false positives
- Share a high-level architecture, including how spreadsheet inputs map to stored results
Typical Challenges
- Avoiding incorrect business matching for similarly named entities
- Designing a dependable SERP and map-pack detection strategy
- Making reruns simple while keeping results organized and reproducible
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Project Details
Skills & Requirements
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