web-scraper-as-a-serviceBuild client-ready web scrapers with clean data output. Use when creating scrapers for clients, extracting data from websites, or delivering scraping projects.
Install via ClawdBot CLI:
clawdbot install seanwyngaard/web-scraper-as-a-serviceTurn scraping briefs into deliverable scraping projects. Generates the scraper, runs it, cleans the data, and packages everything for the client.
/web-scraper-as-a-service "Scrape all products from example-store.com — need name, price, description, images. CSV output."
/web-scraper-as-a-service https://example.com --fields "title,price,rating,url" --format csv
/web-scraper-as-a-service brief.txt
Before writing any code:
requests + BeautifulSoupplaywrightGenerate a complete Python script in scraper/ directory:
scraper/
scrape.py # Main scraper script
requirements.txt # Dependencies
config.json # Target URLs, fields, settings
README.md # Setup and usage instructions for client
scrape.py must include:
# Required features in every scraper:
# 1. Configuration
import json
config = json.load(open('config.json'))
# 2. Rate limiting (ALWAYS — be respectful)
import time
DELAY_BETWEEN_REQUESTS = 2 # seconds, adjustable in config
# 3. Retry logic
MAX_RETRIES = 3
RETRY_DELAY = 5
# 4. User-Agent rotation
USER_AGENTS = [
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36...",
# ... at least 5 user agents
]
# 5. Progress tracking
print(f"Scraping page {current}/{total} — {items_collected} items collected")
# 6. Error handling
# - Log errors but don't crash on individual page failures
# - Save progress incrementally (don't lose data on crash)
# - Write errors to error_log.txt
# 7. Output
# - Save data incrementally (append to file, don't hold in memory)
# - Support CSV and JSON output
# - Clean and normalize data before saving
# 8. Resume capability
# - Track last successfully scraped page/URL
# - Can resume from where it left off if interrupted
After scraping, clean the data:
Data Quality Report
───────────────────
Total records: 2,487
Duplicates removed: 13
Empty fields filled: 0
Fields with issues: price (3 records had non-numeric values — cleaned)
Completeness: 99.5%
Generate a complete deliverable:
delivery/
data.csv # Clean data in requested format
data.json # JSON alternative
data-quality-report.md # Quality metrics
scraper-documentation.md # How the scraper works
README.md # Quick start guide
scraper-documentation.md includes:
Present:
Based on the target type, use the appropriate template:
Fields: name, price, original_price, discount, description, images, category, sku, rating, review_count, availability, url
Fields: address, price, bedrooms, bathrooms, sqft, lot_size, listing_type, agent, description, images, url
Fields: title, company, location, salary, job_type, description, requirements, posted_date, url
Fields: business_name, address, phone, website, category, rating, review_count, hours, description
Fields: title, author, date, content, tags, url, image
Generated Mar 1, 2026
Scrape product pricing, availability, and reviews from competitor websites to enable dynamic pricing strategies and inventory management. Deliver clean CSV reports with daily updates for marketing and sales teams.
Extract property listings from platforms like Zillow or Realtor.com to analyze pricing trends, neighborhood data, and agent performance. Generate structured JSON datasets for real estate agencies and investors.
Scrape job postings from career sites to track hiring trends, skill demands, and salary ranges across industries. Provide cleaned data in CSV format for HR departments and recruitment agencies.
Collect articles from news websites and blogs to monitor brand mentions, industry trends, or competitor activities. Deliver structured data with metadata like publication dates and authors for PR firms.
Extract business listings from directories like Yelp or Google Maps to build databases with contact details, ratings, and categories. Output cleaned data for marketing agencies and lead generation services.
Charge clients a fixed price per scraping project based on complexity, data volume, and delivery timeline. Ideal for ad-hoc requests like market research or data migration, with clear deliverables outlined in contracts.
Offer ongoing scraping services with regular data updates (e.g., daily, weekly) for clients needing continuous monitoring. Include maintenance, error handling, and support in monthly or annual subscription plans.
Develop and package scrapers as turnkey solutions for agencies or freelancers to resell under their own brand. Provide documentation, support, and customization options, charging a licensing fee per client or usage tier.
💬 Integration Tip
Integrate scraped data into existing workflows by exporting to common formats like CSV or JSON, and use APIs or cloud storage for automated delivery to client systems.
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