A comprehensive tool for collecting structured school intelligence from GreatSchools, including ratings, reviews, demographics, and academic performance. It streamlines school research by turning scattered public information into clean, analysis-ready datasets for faster decisions.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Greatschools Scraper gathers detailed school information such as ratings, reviews, demographics, academic outcomes, and contact details in one automated workflow. It solves the problem of manual, time-consuming school research by delivering consistent, structured data at scale. It’s designed for parents, educators, researchers, analysts, and real estate professionals who need reliable school insights.
- Collects standardized school profiles across cities, districts, and regions
- Supports targeted filtering by school level and type
- Produces analysis-ready datasets suitable for reports and dashboards
- Eliminates repetitive manual lookup and comparison work
| Feature | Description |
|---|---|
| Location-Based Discovery | Find all schools within a city, district, or area automatically. |
| Flexible Filtering | Narrow results by school level and school type for precision. |
| Academic Performance Metrics | Captures ratings, test scores, and progress indicators. |
| Demographics & Enrollment | Extracts population breakdowns and enrollment figures. |
| Reviews & Community Feedback | Collects parent reviews and average ratings. |
| Contact & Location Data | Provides addresses, phone numbers, websites, and coordinates. |
| Duplicate Prevention | Automatically avoids saving duplicate school records. |
| Scalable Collection | Handles small targeted lists or large regional datasets. |
| Field Name | Field Description |
|---|---|
| id | Unique identifier for the school record. |
| name | Official school name. |
| schoolType | Public, charter, or private classification. |
| gradeLevels | Grade range served by the school. |
| rating | Overall school rating score. |
| district_name | Name of the associated school district. |
| contact_phone | Primary contact phone number. |
| contact_website | Official school website URL. |
| principal | School principal or head administrator. |
| reviews_averageRating | Average rating from parent reviews. |
| enrollment_total | Total number of enrolled students. |
| studentProgressRating | Student progress performance indicator. |
| testScoresRating | Test score performance metric. |
| equityRating | Equity performance indicator. |
| latitude | Geographic latitude of the school. |
| longitude | Geographic longitude of the school. |
| scrapedTimestamp | Time when the data was collected. |
[
{
"id": 8300,
"name": "High School For Dual Language And Asian Studies",
"schoolType": "public",
"gradeLevels": "9-12",
"rating": 10,
"district_name": "New York City Geographic District # 2",
"contact_phone": "(212) 475-4097",
"contact_website": "https://www.hsdlasnyc.org/",
"principal": "Meesun John",
"reviews_averageRating": 4.0,
"enrollment_total": 373,
"testScoresRating": 9,
"latitude": 40.717194,
"longitude": -73.989464,
"scrapedTimestamp": "2025-01-12T23:29:22.172Z"
}
]
Greatschools Scraper/
├── src/
│ ├── runner.py
│ ├── collectors/
│ │ ├── school_parser.py
│ │ ├── reviews_parser.py
│ │ └── demographics_parser.py
│ ├── utils/
│ │ ├── validators.py
│ │ └── geo_helpers.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── samples/
│ │ └── sample_output.json
│ └── inputs.sample.json
├── requirements.txt
└── README.md
- Parents use it to compare schools across neighborhoods, so they can make informed relocation or enrollment decisions.
- Real estate professionals use it to enrich property listings, so clients understand local school quality instantly.
- Educators use it to benchmark institutions, so they can analyze performance and program gaps.
- Researchers use it to build education datasets, so they can study demographic and academic trends.
- Data analysts use it to power dashboards, so stakeholders can track school performance at scale.
Q: Can this tool collect both public and private school data? Yes. It supports multiple school types, allowing you to include public, charter, and private schools in the same dataset.
Q: Is it suitable for large cities with hundreds of schools? Absolutely. The scraper is designed to scale efficiently from small districts to major metropolitan areas.
Q: How current is the collected information? Data reflects the most recent publicly available information at the time of collection, ensuring relevance and accuracy.
Q: Can the output be used in spreadsheets or BI tools? Yes. The structured format is compatible with CSV, Excel, JSON, and analytics platforms.
Primary Metric: Processes an average of 1–2 school profiles per second under standard conditions.
Reliability Metric: Achieves a consistent success rate above 99% on supported school pages.
Efficiency Metric: Optimized sequential processing minimizes retries and reduces unnecessary requests.
Quality Metric: Delivers high data completeness with academic, demographic, and contact fields populated for the vast majority of schools.
