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Automation & Workflows

Scheduled Scraping Pipelines

Automated Playwright-based scrapers that run on schedule, handle anti-bot, and deliver clean data — every time.

What I Scrape

If you can see it in a browser, I can extract it. Here are the platforms and data types I work with regularly.

E-Commerce & Retail

Product data, pricing, reviews, and inventory from major retailers and Shopify stores.

Amazon Walmart Home Depot Shopify eBay Wayfair
  • Title, brand, price, discount %, SKU
  • Ratings, review counts, images
  • Pagination, variants, dynamic loading

Lead Generation

Business contact data from maps, directories, and industry listings — ready for outreach.

Google Maps Yellow Pages Yelp Industry directories
  • Name, address, phone, website, email
  • Google rating, review count, hours
  • Duplicates removed, ready for CRM import

Job Boards

Job listings with salary data, skills, and company info from major boards and niche sites.

Indeed LinkedIn Jobs RemoteOK Glassdoor
  • Title, company, location, salary range
  • Skills/tags, posting date, apply URL
  • API + browser scraping approaches

Real Estate

Property listings, prices, and market data from major real estate platforms.

Zillow Realtor Redfin MLS feeds
  • Address, price, beds/baths, sqft
  • Listing agent, days on market, photos
  • Price history and market trends

Protected Sites

Sites with aggressive anti-bot systems that block basic scrapers. I use stealth browsers and cloud scraping to get through.

Cloudflare DataDome PerimeterX Akamai
  • Stealth-mode Playwright + fingerprint rotation
  • Cloud scraping for the hardest targets
  • Randomized delays and respectful rate limiting

Anything Else

News, travel, social media, government databases, review sites — if you can see it, I can scrape it.

News sites Travel & flights Public records Review sites
  • APIs, JSON feeds, and HTML parsing
  • Login-required sites (with your credentials)
  • Infinite scroll and dynamic JS content

Real Results

1,000+

Products Monitored Daily

Competitor pricing scraped every day across Amazon, retail sites, and direct competitors

4

Competitor Sites Scraped

Production scrapers running against protected e-commerce sites with anti-bot bypasses

9

Sales Channels Aggregated

Amazon, Walmart, website, wholesale, and more — unified into one live dashboard

6+ mo

Running in Production

Automated pipelines running daily without intervention — no babysitting required

These aren't demos — they're production systems powering real business decisions every day.

What You Get

  • Custom Playwright scrapers

    Purpose-built for your target websites, handling dynamic content and JavaScript rendering.

  • Anti-bot & stealth mode

    Stealth plugins, randomized delays, and fingerprint rotation to avoid detection.

  • Scheduled runs (daily/hourly)

    Cron-based scheduling so your data is always fresh, no manual triggers needed.

  • Data cleaning & normalization

    Raw scraped data is cleaned, deduplicated, and formatted before delivery.

  • Google Sheets / CSV delivery

    Data pushed directly to your Google Sheet or saved as CSV for download.

  • Error alerts & retry logic

    Automatic retries on failure with email notifications so you're always informed.

Every Project Is Different

I scope every engagement individually based on your data, goals, and timeline. No cookie-cutter packages — just a solution built around what you actually need.

Data Volume

Number of SKUs, pages, or data points to process drives the scope of the project.

Delivery Format

Raw CSV, live dashboard, API integration, or automated reporting — each has different complexity.

Ongoing Support

One-time delivery versus ongoing monitoring, maintenance, and iteration on results.

Let’s Discuss Your Project

How It Works

1

Scope

Define what data you need, from which sources, and at what frequency.

2

Build

Develop the scraper with Playwright, error handling, retry logic, and checkpoint saving.

3

Clean

Parse, normalize, and validate extracted data. Remove duplicates and structure into your format.

4

Schedule

Set up automated runs — daily, weekly, or custom intervals with monitoring alerts.

5

Deliver

Data pushed to Google Sheets, database, API endpoint, S3 bucket, or dashboard.

Expert Insight

Headless vs. Headed Browsers

Headless browsers (no visible window) are faster and use less memory — great for simple scraping. But many anti-bot systems detect headless mode through browser fingerprinting: missing GPU info, absent audio context, or navigator.webdriver being true.

For protected sites, I use headed mode with stealth plugins that patch these fingerprinting vectors. The scraper runs a real browser window that looks identical to a human visitor. It's slower but dramatically more reliable against sophisticated bot detection.

Scheduling Strategy: Don't Scrape When Everyone Else Does

Most automated scrapers run at midnight or on the hour. Target sites see traffic spikes at these times and are more likely to rate-limit or trigger CAPTCHAs. Schedule your scrapes at odd times — 3:47 AM, 11:23 AM — and add random jitter (±5 minutes) to each run. Spreading requests across off-peak hours reduces detection risk and improves success rates.

Ready for data pipelines you own?

Stop depending on SaaS scraping tools. Let's build pipelines you control.