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Skill/Research/Original by Mehansh

Locality Delivery Scraper

Methodology playbook for mapping urban food delivery markets.

What It Does

Prescribes an ordered sequence for harvesting restaurant menus, pricing structures, delivery fees, and review sentiments across platforms in a defined urban market.

Architecture and Design Rationale

Geographic data extraction requires strict ordering of operations to maintain comparability and avoid platform anti bot tripwires.

Attribution: Original scraping playbook authored by Mehansh Barthwal.

When to Activate

  • •Conducting locality food delivery market research
  • •Collecting restaurant catalog data across multiple ordering platforms
  • •Standardizing unstructured menu items into relational database schemas

When to Avoid

  • •Simple single restaurant menu lookups

Skill Specification and Runtime Setup

Full Instruction Specification
# Locality Delivery Scraper Specification

## Overview
Prescribes an ordered sequence for harvesting restaurant menus, pricing structures, delivery fees, and review sentiments across platforms in a defined urban market.

## Rationale
Geographic data extraction requires strict ordering of operations to maintain comparability and avoid platform anti bot tripwires.

## Core Principles
* Always verify environment constraints and dependencies before executing.
* Enforce negative constraints and reject speculative abstractions.
* Validate output against stated acceptance rubrics.

## Execution Workflow
1. Discovery: Map requirements and inspect active context.
2. Decomposition: Break down the task into discrete, verifiable phases.
3. Execution: Implement surgical changes preserving existing code architecture.
4. Verification: Test all criteria before declaring completion.

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