Notary Agent

D 58 completed
Other
containerized / python · tiny
27
Files
1,974
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#1540365
Phase
done
Progress
0%
Started
2026-04-16 20:04:47
Finished
2026-04-16 20:04:47
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
30.85
Framework unique
Isolation
Last stage change
2026-05-10 03:34:51
Deduplication group #47342
Member of a group with 328 similar repo(s) · framework fastapicanonical #1455844 view group →
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/

AI Prompt

Create a command-line tool in Python that acts as a Notary Lead Generation Agent. This tool should scrape notary directories from specific websites using a provided ZIP code. After scraping, it needs to deduplicate the leads and then store the collected data into a Supabase table called 'leads'. Furthermore, it must create corresponding contacts in GoHighLevel (GHL) and trigger a GHL Workflow for automated SMS and email outreach. The tool should use FastAPI for its API components and handle environment variables for API keys for Supabase and GHL.
python cli scraping fastapi supabase ghl automation lead-generation containerized
Generated by gemma4:latest

Catalog Information

Create a command-line tool in Python that acts as a Notary Lead Generation Agent. This tool should scrape notary directories from specific websites using a provided ZIP code. After scraping, it needs to deduplicate the leads and then store the collected data into a Supabase table called 'leads'. Furthermore, it must create corresponding contacts in GoHighLevel (GHL) and trigger a GHL Workflow for automated SMS and email outreach. The tool should use FastAPI for its API components and handle envi

Tags

python cli scraping fastapi supabase ghl automation lead-generation containerized

Quality Score

D
57.9/100
Structure
50
Code Quality
65
Documentation
55
Testing
20
Practices
74
Security
92
Dependencies
90

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices — no major issues detected
  • Containerized deployment (Docker)

Weaknesses

  • No LICENSE file — legal ambiguity for contributors
  • No CI/CD configuration — manual testing and deployment
  • 120 duplicate lines detected — consider DRY refactoring

Recommendations

  • Add a test suite — start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Languages

python
95.0%
markdown
2.9%
yaml
1.4%
text
0.7%

Frameworks

FastAPI

Symbols

variable63
function60
constant29
class9

API Endpoints (7)

Same analyzer free for public repos: https://repobility.com
MethodPathHandlerFramework
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
GET/healthhealthFastAPI/Flask
POST/notary-blastnotary_blastFastAPI/Flask
POST/notary-blastnotary_blastFastAPI/Flask
POST/process-leadprocess_leadFastAPI/Flask
POST/queue-cityqueue_cityFastAPI/Flask
POST/scrape-by-zipscrape_by_zipFastAPI/Flask
POST/scrape-by-zipscrape_by_zipFastAPI/Flask

Quality Timeline

1 quality score recorded.

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Repobility · MCP-ready · https://repobility.com

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