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Scraper Builder

  • 350 installs
  • 133 repo stars
  • Updated February 24, 2026
  • jwynia/agent-skills

scraper-builder is a Claude Code skill that designs and implements resilient web scrapers with selectors, pagination, rate limits, storage, and error handling for developers building datasets for research, pricing, or ag

About

scraper-builder is a skill from jwynia/agent-skills focused on production-grade web scraping architecture rather than one-off curl commands. It guides agents through DOM selector strategy, paginated crawl loops, respectful rate limiting, durable storage sinks, and retry-aware error handling so extracted data feeds research pipelines, pricing monitors, or downstream agent tools reliably. Developers invoke it when targeting semi-structured public pages, catalog listings, or paginated APIs disguised as HTML. The skill emphasizes resilience against layout drift, backoff policies, and idempotent writes instead of fragile single-page scripts. Use scraper-builder when building maintainable extractors that must run repeatedly without manual intervention.

  • Plans selector strategies resilient to minor DOM changes
  • Handles pagination, sessions, and anti-bot constraints
  • Defines storage schemas and incremental crawl schedules
  • Templates retries, logging, and compliance guardrails
  • Fits agent tooling and research automation stacks

Scraper Builder by the numbers

  • 350 all-time installs (skills.sh)
  • +4 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #468 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jwynia/agent-skills --skill scraper-builder

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Listed on Skillselion
Installs350
repo stars133
Last updatedFebruary 24, 2026
Repositoryjwynia/agent-skills

How do you build a resilient web scraper pipeline?

Design and implement resilient web scrapers—selectors, pagination, rate limits, storage, and error handling—for datasets feeding research, pricing, or agent tools.

Who is it for?

Backend developers creating repeatable web extractors for pricing data, research corpora, or agent tool feeds.

Skip if: Official REST API integrations where authenticated endpoints already provide structured JSON without HTML parsing.

When should I use this skill?

The user needs to scrape paginated websites with selectors, rate limits, storage, and error handling for ongoing data collection.

What you get

Scraper implementations with selectors, pagination handlers, rate-limit configs, storage schemas, and error-recovery logic.

Files

SKILL.mdMarkdownGitHub ↗

Scraper Builder

Generate complete, runnable web scraper projects using the PageObject pattern with Playwright and TypeScript. This skill produces site-specific scrapers with typed data extraction, Docker deployment, and optional agent-browser integration for automated site analysis.

When to Use This Skill

Use this skill when:

  • Building a site-specific web scraper for data extraction
  • Generating PageObject classes for a target website
  • Scaffolding a complete scraper project with Docker support
  • Using agent-browser to analyze a site and auto-generate selectors
  • Creating reusable scraping components (pagination, data tables)

Do NOT use this skill when:

  • Building API clients (use HTTP client libraries directly)
  • Writing QA/E2E test suites (use Playwright test runner with test-focused patterns)
  • Mass crawling or spidering entire domains (use Crawlee or Scrapy)
  • Scraping sites that require authentication bypass or CAPTCHA solving

Core Principles

1. PageObject Encapsulation

Each page on the target site maps to one PageObject class. Locators are defined in the constructor, and scraping logic lives in methods. Page objects never contain assertions or business logic — they extract and return data.

2. Selector Resilience

Prefer selectors in this order: data-testid > id > semantic HTML (role, aria-label) > structured CSS classes > text content. Avoid positional selectors (nth-child) and layout-dependent paths. See references/playwright-selectors.md for the full hierarchy.

3. Composition Over Inheritance

Reusable UI patterns (pagination, data tables, search bars) are modeled as component classes that page objects compose via properties. Only BasePage uses inheritance — everything else composes.

4. Typed Data Extraction

All scraped data flows through Zod schemas for validation. This catches selector drift (when a site changes its markup) at extraction time rather than downstream. See assets/templates/data-schema.ts.md.

5. Docker-First Deployment

Generated projects include a Dockerfile using Microsoft's official Playwright images and a docker-compose.yml with volume mounts for output data and debug screenshots. This ensures consistent browser environments across machines.

Generation Modes

Mode 1: Agent-Browser Analysis

Use agent-browser to navigate the target site, capture accessibility tree snapshots, and automatically discover selectors. This is the preferred mode when the agent has access to the agent-browser CLI.

Prerequisites: If agent-browser is not already installed, add it as a skill first:

npx skills add vercel-labs/agent-browser

Workflow:

# 1. Open the target page
agent-browser open https://example.com/products

# 2. Capture interactive snapshot with element references
agent-browser snapshot -i --json > snapshot.json

# 3. Capture scoped sections for focused analysis
agent-browser snapshot -i --json -s "main" > main-content.json
agent-browser snapshot -i --json -s "nav" > navigation.json

# 4. Test dynamic behavior (pagination, load-more)
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i --json > after-click.json

# 5. Close when done
agent-browser close

What the agent does with snapshots:

1. Parse element references (@e1, @e2, etc.) and their roles 2. Group elements by semantic purpose (navigation, data display, forms, actions) 3. Map data elements to fields (title, price, image, etc.) 4. Generate PageObject classes with discovered selectors 5. Identify pagination and dynamic loading patterns

See references/agent-browser-workflow.md for the complete workflow reference.

Mode 2: Manual Description

The user describes the target site's page structure and the agent maps it to page objects. The agent asks structured questions:

1. What pages to scrape? — List of URLs or page types 2. What data to extract? — Field names and expected types per page 3. How is data paginated? — Numbered pages, load-more, infinite scroll, or single page 4. What selectors are known? — Any CSS selectors, data-testid values, or XPath the user already knows

The agent then:

  • Matches the description to a site archetype from data/site-archetypes.json
  • Proposes a page object map with class names and responsibilities
  • Generates code after the user confirms the plan

Mode 3: Full Project Scaffold

Generate a complete runnable project in one operation using the scaffolder script:

deno run --allow-read --allow-write scripts/scaffold-scraper-project.ts \
  --name "my-scraper" \
  --url "https://example.com" \
  --pages "ProductListing,ProductDetail" \
  --fields "title,price,image_url,description"

This produces a project with all source files, configuration, Docker setup, and an entry point ready to run. See the Scripts Reference section for full options.

Quick Reference

CategoryApproachDetails
FrameworkPlaywrightplaywright package, not @playwright/test
LanguageTypeScriptStrict mode, ES2022 target
PatternPageObjectOne class per page, compose components
SelectorsResilientdata-testid > id > role > CSS class > text
Wait strategyAuto-waitPlaywright built-in, plus networkidle for navigation
ValidationZodSchema per page object's output type
OutputJSON + CSVConfigurable via storage utility
DockerOfficial imagemcr.microsoft.com/playwright:v1.48.0-jammy
RetryExponential backoff3 attempts default, configurable
ScreenshotsOn errorSaved to screenshots/ for debugging

Generation Process

Follow this sequence when generating a scraper:

Step 1: Gather Requirements

Ask the user for:

  • Target site URL(s)
  • Data fields to extract
  • Number of pages/items expected
  • Output format preference (JSON, CSV, both)
  • Whether Docker deployment is needed

Step 2: Analyze the Site

Use Mode 1 (agent-browser) or Mode 2 (manual description) to understand:

  • Page structure and navigation flow
  • Data element locations and selector strategies
  • Pagination or infinite scroll patterns
  • Dynamic content loading behavior

Step 3: Design the Page Object Map

Create a plan listing:

  • Each PageObject class and its URL pattern
  • Component classes needed (Pagination, DataTable, etc.)
  • Data schema fields and types per page
  • The scraper's navigation flow between pages

Step 4: Present the Plan

Show the user the page object map before generating code. Include class names, field names, and the execution flow. Wait for confirmation.

Step 5: Generate Code

Use the templates in assets/templates/ as the foundation:

  • base-page.ts.md — BasePage abstract class
  • page-object.ts.md — Site-specific page object
  • component.ts.md — Reusable components
  • scraper-runner.ts.md — Orchestrator
  • data-schema.ts.md — Zod validation schemas

Step 6: Deliver

Provide the complete project with:

  • All source files
  • Configuration files from assets/configs/
  • A README explaining how to run it
  • Docker setup (unless explicitly excluded)

Code Patterns

BasePage

Abstract class providing navigate(), waitForPageLoad(), screenshot(), and getText() helpers. All page objects extend this.

export abstract class BasePage {
  constructor(protected readonly page: Page) {}
  async navigate(url: string): Promise<void> { /* ... */ }
  async screenshot(name: string): Promise<void> { /* ... */ }
}

See: assets/templates/base-page.ts.md

PageObject

Site-specific class with locators as readonly properties, scrape methods returning typed data, and navigation methods for multi-page flows.

export class ProductListingPage extends BasePage {
  readonly productCards: Locator;
  readonly nextButton: Locator;
  async scrapeProducts(): Promise<Product[]> { /* ... */ }
  async goToNextPage(): Promise<boolean> { /* ... */ }
}

See: assets/templates/page-object.ts.md

Component

Reusable UI pattern (Pagination, DataTable) that receives a parent locator scope and provides extraction methods.

export class Pagination {
  constructor(private page: Page, private scope: Locator) {}
  async hasNextPage(): Promise<boolean> { /* ... */ }
  async goToNext(): Promise<void> { /* ... */ }
}

See: assets/templates/component.ts.md

ScraperRunner

Orchestrator that launches the browser, creates page objects, iterates through pages, collects data, validates with schemas, and writes output.

export class SiteScraper {
  async run(): Promise<void> {
    const browser = await chromium.launch();
    const page = await browser.newPage();
    // navigate, scrape, validate, write
  }
}

See: assets/templates/scraper-runner.ts.md

DataSchema

Zod schemas that validate scraped records, catching selector drift and malformed data at extraction time.

export const ProductSchema = z.object({
  title: z.string().min(1),
  price: z.number().positive(),
});

See: assets/templates/data-schema.ts.md

Anti-Patterns

Anti-PatternProblemSolution
Monolith ScraperAll scraping logic in one fileSplit into PageObject classes per page
Sleep WaiterUsing setTimeout/fixed delaysUse Playwright auto-wait and networkidle
Unvalidated PipelineNo schema validation on outputAdd Zod schemas for every data type
Selector LotteryFragile positional selectorsUse resilient selector hierarchy
Silent FailureSwallowing errors without loggingLog failures and save debug screenshots
Unthrottled CrawlerNo delay between requestsAdd configurable request delays
Hardcoded ConfigURLs and selectors in codeUse environment variables and config files
No Retry LogicSingle attempt per requestImplement exponential backoff

See references/anti-patterns.md for the extended catalog with examples and fixes.

Scripts Reference

scaffold-scraper-project.ts

Generate a complete scraper project:

deno run --allow-read --allow-write scripts/scaffold-scraper-project.ts [options]

Options:
  --name <name>       Project name (required)
  --path <path>       Target directory (default: ./)
  --url <url>         Target site base URL
  --pages <pages>     Comma-separated page names (e.g., ProductListing,ProductDetail)
  --fields <fields>   Comma-separated data fields (e.g., title,price,rating)
  --no-docker         Skip Docker setup
  --no-validation     Skip Zod validation setup
  --json              Output as JSON
  -h, --help          Show help

Examples:
  # Scaffold a product scraper
  deno run --allow-read --allow-write scripts/scaffold-scraper-project.ts \
    --name "shop-scraper" --url "https://shop.example.com" \
    --pages "ProductListing,ProductDetail" --fields "title,price,image_url"

  # Minimal scraper without Docker
  deno run --allow-read --allow-write scripts/scaffold-scraper-project.ts \
    --name "blog-scraper" --no-docker

generate-page-object.ts

Generate a single PageObject class for an existing project:

deno run --allow-read --allow-write scripts/generate-page-object.ts [options]

Options:
  --name <name>           Class name (required)
  --url <url>             Page URL (for documentation comment)
  --fields <fields>       Comma-separated data fields
  --selectors <json>      JSON map of field to selector
  --with-pagination       Include pagination methods
  --output <path>         Output file path (default: stdout)
  --json                  Output as JSON
  -h, --help              Show help

Examples:
  # Generate a page object with known selectors
  deno run --allow-read --allow-write scripts/generate-page-object.ts \
    --name "ProductListing" --url "https://shop.example.com/products" \
    --fields "title,price,rating" \
    --selectors '{"title":".product-title","price":".product-price","rating":".star-rating"}' \
    --with-pagination --output src/pages/ProductListingPage.ts

  # Quick generation to stdout
  deno run --allow-read scripts/generate-page-object.ts \
    --name "SearchResults" --fields "title,url,snippet"

Templates & References

Templates (assets/templates/)

TemplatePurpose
base-page.ts.mdAbstract BasePage with navigation, screenshots, text helpers
page-object.ts.mdSite-specific page object with locators and scrape methods
component.ts.mdReusable components: Pagination, DataTable
scraper-runner.ts.mdOrchestrator: browser launch, iteration, collection, output
data-schema.ts.mdZod schemas for scraped data validation

Configs (assets/configs/)

ConfigPurpose
dockerfile.mdMulti-stage Dockerfile using official Playwright image
docker-compose.yml.mdService with data/screenshots volume mounts
tsconfig.json.mdStrict TypeScript with ES2022 target
package.json.mdplaywright, zod, tsx dependencies
playwright.config.ts.mdScraper-focused Playwright configuration

References (references/)

ReferencePurpose
pageobject-pattern.mdPageObject pattern adapted for scraping
playwright-selectors.mdSelector strategies and resilience hierarchy
docker-setup.mdDocker configuration and deployment
agent-browser-workflow.mdAgent-browser analysis workflow
anti-patterns.mdExtended anti-pattern catalog

Examples (assets/examples/)

ExamplePurpose
ecommerce-scraper.mdComplete multi-page product scraper walkthrough
multi-page-pagination.mdPagination handling strategies

Data Files (data/)

FilePurpose
selector-patterns.jsonCommon selectors organized by UI element type
site-archetypes.jsonWebsite structure archetypes with typical pages and fields

Example Interaction

User: "I need a scraper for an online bookstore. I want to get book titles, authors, prices, and ratings from the catalog pages."

Agent workflow:

1. Checks site-archetypes.json — matches ecommerce archetype 2. Proposes page object map:

  • BookListingPage — catalog with pagination
  • BookDetailPage — individual book page (if detail scraping needed)
  • Pagination component — shared pagination handler

3. Presents the plan with field mapping:

  • title[itemprop="name"] or .book-title
  • author[itemprop="author"] or .book-author
  • price[itemprop="price"] or .price
  • rating.star-rating or [data-rating]

4. After confirmation, generates using the scaffold script or manual code generation 5. Delivers project with Docker setup and Zod schemas for Book type

Integration

This skill connects to:

  • typescript-best-practices — TypeScript coding patterns used in generated code
  • devcontainer — Development container setup for the generated project
  • agent-browser — Site analysis and selector discovery (external tool)

What You Do NOT Do

This skill does NOT:

  • Bypass authentication or login walls
  • Solve CAPTCHAs or bot detection
  • Generate JavaScript-only output (always TypeScript)
  • Produce crawlers that spider entire domains
  • Create scrapers that violate robots.txt
  • Handle rate-limited APIs (use HTTP clients for API work)
  • Generate test suites (use Playwright test patterns for QA)

Related skills

How it compares

Pick scraper-builder for custom HTML extraction pipelines; pick an official API integration skill when structured endpoints eliminate the need for DOM parsing.

FAQ

What components does scraper-builder cover?

scraper-builder covers selector design, pagination handling, rate limits, durable storage, and error handling patterns needed for resilient web scrapers feeding research, pricing, or agent datasets.

When should developers use scraper-builder?

Developers should use scraper-builder when implementing repeatable web extractors that must paginate results, respect rate limits, persist structured data, and recover from fetch or parse failures.

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