Agent skill

Web Scraper

by revfactory in revfactory/harness-100

Full pipeline for building web scraping systems with agent team collaboration.

Apache-2.0Auto-check passedData & Analytics

Install Web Scraper

skills CLI
$ npx skills add revfactory/harness-100 --skill web-scraper -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 web-scraper --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/37-web-scraper/.claude/skills/web-scraper .claude/skills/web-scraper && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
web-scraper
GitHub stars
1.3k
Token cost
~1.7k tokens
SKILL.md length
677 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

Full pipeline for building web scraping systems with agent team collaboration.

  • Works in 3 steps: Preparation (performed directly by the… → Team Assembly and Execution → Integration and Final Deliverables
  • Requests like build a web scraper
  • SKILL.md covers Execution Mode, Agent Composition, Workflow and Execution Modes by Request Scope, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Web Scraper is an agent skill from revfactory/harness-100. Full pipeline for building web scraping systems with agent team collaboration. Use this skill for requests like 'build a web scraper', 'develop a crawler', 'collect site data', 'web crawling system', 'build a scraper', 'data collection automation', 'site parsing', 'web data extraction', etc. Also supports target-analysis-only mode for specific site analysis. Note: real-time streaming data processing (Kafka/Flink), browser automation testing (Selenium testing), and website performance monitoring are outside the…

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Web scraping. It works with Selenium and Apache Kafka. The licence is Apache-2.0.

When your agent uses it

  • Requests like build a web scraper
  • Develop a crawler
  • Collect site data
  • Web crawling system

Example prompts

  • “build a web scraper”
  • “develop a crawler”
  • “collect site data”
  • “/web-scraper”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Preparation (performed directly by the orchestrator)
  2. Team Assembly and Execution
  3. Integration and Final Deliverables

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Web Scraper loads about 1.7k tokens when it runs. Until then it costs about 137 tokens; SKILL.md has 677 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~137
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 677 words, ~1,729 tokens.

Download SKILL.mdSave it as .claude/skills/web-scraper/SKILL.md (or your agent's skills folder).
name
web-scraper
description
Full pipeline for building web scraping systems with agent team collaboration. Use this skill for requests like 'build a web scraper', 'develop a crawler', 'collect site data', 'web crawling system', 'build a scraper', 'data collection automation', 'site parsing', 'web data extraction', etc. Also supports target-analysis-only mode for specific site analysis. Note: real-time streaming data processing (Kafka/Flink), browser automation testing (Selenium testing), and website performance monitoring are outside the scope of this skill.

Web Scraper — Web Scraping System Construction Pipeline

An agent team collaborates to build target analysis, crawler design, parsing, storage, and monitoring for web scraping systems.

Execution Mode

Agent Team — Five agents communicate directly via SendMessage and perform cross-validation.

Agent Composition

AgentFileRoleType
target-analyst.claude/agents/target-analyst.mdTarget site analysis, risk assessmentgeneral-purpose
crawler-developer.claude/agents/crawler-developer.mdCrawler architecture and implementationgeneral-purpose
parser-engineer.claude/agents/parser-engineer.mdParsing logic design and implementationgeneral-purpose
data-manager.claude/agents/data-manager.mdData storage, validation, exportgeneral-purpose
monitor-operator.claude/agents/monitor-operator.mdMonitoring, alerting, schedulinggeneral-purpose

Workflow

Phase 1: Preparation (performed directly by the orchestrator)
  1. Extract the following from user input:
    • Target site URL: Website to scrape
    • Target data: What data to extract
    • Purpose: Intended use of collected data (analysis/monitoring/archiving)
    • Scale: Expected data volume, collection frequency
    • Constraints (optional): Tech stack limitations, budget, legal requirements
  2. Create the _workspace/ directory at the project root
  3. Organize the input and save it to _workspace/00_input.md
  4. Create the _workspace/src/ directory
  5. If pre-existing files are available, copy them to _workspace/ and skip the corresponding phase
  6. Determine the execution mode based on the scope of the request (see "Execution Modes" below)
Phase 2: Team Assembly and Execution

Assemble the team and assign tasks. Inter-task dependencies are as follows:

OrderTaskOwnerDependenciesDeliverable
1Target site analysisanalystNone_workspace/01_target_analysis.md
2aCrawler design and implementationcrawlerTask 1_workspace/02_crawler_design.md + src/
2bParsing logic design and implementationparserTask 1_workspace/03_parser_logic.md + src/
3Data storage designdata-mgrTask 2b_workspace/04_data_storage.md + src/
4Monitoring configurationmonitorTasks 2a, 2b, 3_workspace/05_monitor_config.md + src/

Tasks 2a (crawler) and 2b (parser) run in parallel since both depend only on Task 1 (analysis).

Inter-agent communication flow:

  • analyst completes > passes URL patterns, anti-bot info, rate limits to crawler; data points and DOM structure to parser
  • crawler completes > passes raw data format to parser; crawler health checkpoints to monitor
  • parser completes > passes data schema to data-mgr; parsing metrics to monitor
  • data-mgr completes > passes data quality metrics to monitor
  • monitor integrates all components to finalize operations configuration
Phase 3: Integration and Final Deliverables
  1. Verify all files in _workspace/ and _workspace/src/
  2. Validate cross-deliverable consistency (analysis > crawler > parser > storage > monitoring)
  3. Present the final summary and execution instructions to the user

Execution Modes by Request Scope

User Request PatternExecution ModeAgents Deployed
"Build a full scraping system"Full pipelineAll 5 agents
"Analyze target site only"Analysis modetarget-analyst only
"Build crawler only"Crawler modetarget-analyst + crawler-developer
"Design parser only"Parser modetarget-analyst + parser-engineer
"Monitor existing scraper"Monitor modemonitor-operator only

Reusing existing files: If the user provides existing analysis results or crawler code, copy to _workspace/ and skip the corresponding agent.

Show full SKILL.md (241 more words)Show less

Data Transfer Protocol

StrategyMethodPurpose
File-based_workspace/ directoryDesign documents
Code-based_workspace/src/Executable scraping code
Message-basedSendMessageKey information transfer, feedback

Error Handling

Error TypeStrategy
Target site inaccessibleAnalyze via cached/archived versions; explore alternative URLs
robots.txt blocks all crawlingCheck for public API; propose API-based approach
Anti-bot blocks all requestsEscalate difficulty; propose headless browser or API alternatives
Dynamic rendering failureSwitch to Playwright; increase timeouts
Agent failureRetry once; if still failing, proceed without that deliverable

Test Scenarios

Normal Flow

Prompt: "Build a scraper to collect product prices from this e-commerce site daily" Expected result:

  • Analysis: Site structure, pagination, anti-bot mechanisms, robots.txt compliance plan
  • Crawler: Async httpx-based crawler with rate limiting and retry logic
  • Parser: CSS selector-based price/title/URL extraction with validation
  • Storage: SQLite with upsert deduplication, CSV daily export
  • Monitoring: Cron schedule, parsing success rate alerts, site change detection
Analysis-Only Flow

Prompt: "Analyze whether this site can be scraped" Expected result:

  • target-analyst performs full analysis and risk assessment
  • Other agents are not deployed
Error Flow

Prompt: "Scrape data from this SPA with Cloudflare protection" Expected result:

  • target-analyst identifies Cloudflare challenge and SPA rendering
  • crawler-developer uses Playwright with appropriate wait strategies
  • parser-engineer handles dynamic DOM with robust selectors
  • monitor-operator sets up change detection for frequently updated selectors

Agent Extension Skills

SkillPathEnhanced AgentRole
selector-generator.claude/skills/selector-generator/skill.mdparser-engineerCSS/XPath selector generation, robustness scoring, change detection
anti-bot-analyzer.claude/skills/anti-bot-analyzer/skill.mdtarget-analyst, crawler-developerAnti-bot defense layer analysis, rate limit detection, legal risk assessment

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in en/37-web-scraper/.claude/skills/web-scraper of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Web Scraper next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Web Scraper compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Web Scraper this skillrevfactory/harness-1001.3k—~1.7kAutomated safety check: PassApache-2.0
Python Executorcortega26/chile-hub1132 repos~1.5kAutomated safety check: PassMIT
Selenium Opinion Crawler123321kk/opinion-agent-ultimate107—~631Automated safety check: PassNone
Web Scraping AutomationaAAaqwq/AGI-Super-Team1051 repos~795Automated safety check: NotesMIT
Tmuxtrpc-group/trpc-agent-go1.8k23 repos~868Automated safety check: PassApache-2.0
Ketch1broseidon/ketch6961 repos~3.9kAutomated safety check: PassMIT

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Questions about Web Scraper

What does Web Scraper do?

Full pipeline for building web scraping systems with agent team collaboration. Web Scraper is an agent skill from revfactory/harness-100. Full pipeline for building web scraping systems with agent team collaboration.

When should I use Web Scraper?

Web Scraper fits situations like: requests like build a web scraper; develop a crawler; collect site data; web crawling system.

How do I install Web Scraper in Claude Code?

Run `npx skills add revfactory/harness-100 --skill web-scraper -a claude-code`. Or copy the skill folder (en/37-web-scraper/.claude/skills/web-scraper in revfactory/harness-100) into .claude/skills/web-scraper in your project. Claude Code loads it when a task matches its description.

How do I install Web Scraper in Codex?

Run `npx skills add revfactory/harness-100 --skill web-scraper -a codex`. Or copy the skill folder (en/37-web-scraper/.claude/skills/web-scraper in revfactory/harness-100) into .agents/skills/web-scraper in your project. Codex loads it when a task matches its description.

Can I use Web Scraper in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill web-scraper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-scraper, .gemini/skills/web-scraper, .github/skills/web-scraper and .opencode/skills/web-scraper in your project.

What does Web Scraper need to run?

SKILL.md names no scripts, command-line tools or credentials: Web Scraper is instructions for the agent only.

Does Web Scraper access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Web Scraper safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Web Scraper use?

Web Scraper is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Web Scraper use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Web Scraper?

Skills that share tags, products or a category with Web Scraper: Python Executor (cortega26/chile-hub, 113 stars), Selenium Opinion Crawler (123321kk/opinion-agent-ultimate, 107 stars), Web Scraping Automation (aAAaqwq/AGI-Super-Team, 105 stars) and Tmux (trpc-group/trpc-agent-go, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Web Scraper?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.