alltheplaces/alltheplaces
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationData ExtractionWeb Scraping
Skyiesac
PROFILE
Skyiesac
Sachi Jain developed a new data scraping spider for the alltheplaces/alltheplaces repository, automating the collection of Seattle Parks and Recreation wading pool data. Using Python, she integrated with the ArcGIS Feature Server API to extract facility information, applying targeted categorization and attribute normalization while filtering out closed locations. Her approach emphasized data quality by extracting stable unique identifiers for each facility, supporting deduplication and downstream analytics. The spider ingested data for 33 facilities, reducing manual entry and enabling hands-off data ingestion for public dashboards. This work established a maintainable, scalable pipeline for future expansion to additional parks and jurisdictions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
24
Activity Months1
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a new Wading Pool Data Scraping Spider for Seattle Parks and Recreation within alltheplaces/alltheplaces. The feature automates data collection from ArcGIS Feature Server, applying targeted categories and attributes, filtering out closed facilities, and extracting stable unique identifiers for each location. Implemented for 33 facilities and established a solid foundation for expanding coverage to additional pools and jurisdictions. Major bugs fixed: No major bugs reported this month; focus remained on feature delivery and data quality improvements around facility status and identifiers. Overall impact and accomplishments: Enabled accurate, hands-off data ingestion for Seattle wading pool facilities, supporting downstream dashboards, analytics, and public data feeds. The work reduces manual data entry and accelerates time-to-insight for parks data. Technologies/skills demonstrated: Web scraping/spider development; ArcGIS Feature Server integration; data quality controls (status filtering, attribute normalization); unique identifier extraction; maintainable data pipelines; version-controlled development.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a new Wading Pool Data Scraping Spider for Seattle Parks and Recreation within alltheplaces/alltheplaces. The feature automates data collection from ArcGIS Feature Server, applying targeted categories and attributes, filtering out closed facilities, and extracting stable unique identifiers for each location. Implemented for 33 facilities and established a solid foundation for expanding coverage to additional pools and jurisdictions. Major bugs fixed: No major bugs reported this month; focus remained on feature delivery and data quality improvements around facility status and identifiers. Overall impact and accomplishments: Enabled accurate, hands-off data ingestion for Seattle wading pool facilities, supporting downstream dashboards, analytics, and public data feeds. The work reduces manual data entry and accelerates time-to-insight for parks data. Technologies/skills demonstrated: Web scraping/spider development; ArcGIS Feature Server integration; data quality controls (status filtering, attribute normalization); unique identifier extraction; maintainable data pipelines; version-controlled development.
October 2025
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationData ExtractionWeb Scraping
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline