Data Analysis of Ice Cream Shop in Santiago-Chile Using Google Places API and Python
Budget: $10 – $30 USD
I am looking for a freelancer with expertise in Google Places API, Python, and data analysis to conduct a study on ice cream shops in Santiago, Chile. The goal is to extract and analyze data to identify:
• Names and locations of the ice cream shops in Santiago.
• Opening and closing hours for each shop.
• Peak visiting hours based on Google Maps data or alternative sources.
• Keyword extraction from the most successful 20 ice cream shops to identify marketing and business trends.
Technical Requirements:
1. Data Collection
• Use Google Places API to fetch data on ice cream shops.
• Extract key details such as name, address, ratings, and business hours.
• (Optional) Implement web scraping techniques to gather supplementary data.
2. Data Analysis
• Organize and clean the data into a structured format (CSV, Excel, or SQL).
• Identify peak visitor hours based on Google Maps or customer review patterns.
• Extract 20 relevant keywords from the top 20 most successful ice cream shops.
3. Reporting & Deliverables
• Provide an Excel/CSV database with names, locations, and business hours.
• Conduct keyword analysis from the most popular ice cream shops.
• Submit Python scripts and documentation for data extraction and analysis.
Required Skills:
✅ Experience with Google Places API and geolocation data processing.
✅ Strong knowledge of Python (requests, pandas, regex for keyword extraction).
✅ Ability to extract, clean, and analyze textual and numerical data.
✅ Web scraping experience (optional but preferred).
Deliverables & Timeline:
• Structured dataset with ice cream shop details.
• Insights on peak hours and visitor trends.
• Top 20 keywords extracted from leading ice cream businesses.
• Complete Python code with documentation.
Hablantes en español de preferencia
Looking forward to your proposals! ?
• Names and locations of the ice cream shops in Santiago.
• Opening and closing hours for each shop.
• Peak visiting hours based on Google Maps data or alternative sources.
• Keyword extraction from the most successful 20 ice cream shops to identify marketing and business trends.
Technical Requirements:
1. Data Collection
• Use Google Places API to fetch data on ice cream shops.
• Extract key details such as name, address, ratings, and business hours.
• (Optional) Implement web scraping techniques to gather supplementary data.
2. Data Analysis
• Organize and clean the data into a structured format (CSV, Excel, or SQL).
• Identify peak visitor hours based on Google Maps or customer review patterns.
• Extract 20 relevant keywords from the top 20 most successful ice cream shops.
3. Reporting & Deliverables
• Provide an Excel/CSV database with names, locations, and business hours.
• Conduct keyword analysis from the most popular ice cream shops.
• Submit Python scripts and documentation for data extraction and analysis.
Required Skills:
✅ Experience with Google Places API and geolocation data processing.
✅ Strong knowledge of Python (requests, pandas, regex for keyword extraction).
✅ Ability to extract, clean, and analyze textual and numerical data.
✅ Web scraping experience (optional but preferred).
Deliverables & Timeline:
• Structured dataset with ice cream shop details.
• Insights on peak hours and visitor trends.
• Top 20 keywords extracted from leading ice cream businesses.
• Complete Python code with documentation.
Hablantes en español de preferencia
Looking forward to your proposals! ?