scrapy-step-by-step-process

scrapy-step-by-step-process is a cursor rule for Cursor from TheWebScrapingClub/AI-Cursor-Scraping-Assistant. It costs 239 tokens per session, scanned A, original, MIT.

A required sequence of preparation steps for starting a Scrapy web scraper, where Scrapy is a Python framework for collecting website data. It tells the agent to check the project location, review prerequisites and the target website, and then apply the other scraper rules.

In plain words
What is it for?
Use it before building a Scrapy spider to establish the project path, inspect the supplied website, and select the relevant best-practice and data-model rules.
Why use it?
It reduces the risk of starting with the wrong project context, skipping website analysis, or using the wrong scraper structure.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

Good fit Use it before building a Scrapy spider to establish the project path, inspect the supplied website, and select the relevant best-practice and data-model rules.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/thewebscrapingclub/ai-cursor-scraping-assistant/scrapy-step-by-step-process
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/TheWebScrapingClub/AI-Cursor-Scraping-Assistant

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for scrapy-step-by-step-process

README.md
[![agentmods](https://agentmods.dev/badge/rules/thewebscrapingclub/ai-cursor-scraping-assistant/scrapy-step-by-step-process/github.svg)](https://agentmods.dev/rules/thewebscrapingclub/ai-cursor-scraping-assistant/scrapy-step-by-step-process)
Your own site
<a href="https://agentmods.dev/rules/thewebscrapingclub/ai-cursor-scraping-assistant/scrapy-step-by-step-process"><img src="https://agentmods.dev/badge/rules/thewebscrapingclub/ai-cursor-scraping-assistant/scrapy-step-by-step-process/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for scrapy-step-by-step-process

Your own site · 80×15
<a href="https://agentmods.dev/rules/thewebscrapingclub/ai-cursor-scraping-assistant/scrapy-step-by-step-process"><img src="https://agentmods.dev/badge/rules/thewebscrapingclub/ai-cursor-scraping-assistant/scrapy-step-by-step-process.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 239 This file is loaded in full into every session.
When invoked 239 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00239 $0.00239
Opus 5 $0.00120 $0.00120
Sonnet 5 $0.00048 $0.00048
Haiku 4.5 $0.00024 $0.00024

Measured 10d ago against content hash b249c2f6f764, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

scrapy-step-by-step-process scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

cursor-rules/scrapy-step-by-step-process.mdc · 19 lines

What it actually says


description: This rule provides a step by step guide to follow for a successful Scrapy project. Read and implement the rules oncained in this file in first place. globs: **/*.py

Scrapy step by step guide for a successful scraper creation

This document contains a step by step guide for a successful Scrapy scraper creation. It is the first rule file that must be considered, read and executed. Here is the list of actions to take for a successful scraper creation: - Read and execute the prerequisites.mdc rule file. - Read and execute the website-analysis.mdc on the URL passed - Read the best practices for creating a Scrapy spider contained in the file @scrapy.mdc. - One requested to create a scraper, follow the instructions in the file scraper-models.mdc for the coherent scraper type requested.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 19 lines · 239 tokens per session scan A b249c2f6f764

Subscribe to this mod's changes

scrapy-step-by-step-process is a cursor rule published in the GitHub repository TheWebScrapingClub/AI-Cursor-Scraping-Assistant (55 stars, last pushed 1y ago), licensed MIT. It adds 239 tokens to every session, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.