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I’m a Splunk Engineer & Administrator specializing in AWS cloud integrations, SPL optimization, and Cribl pipeline engineering. I help companies build fast, reliable, and cost-efficient logging and monitoring systems. I work with Splunk Enterprise, dashboards, alerts, field extractions, AWS CloudWatch/CloudTrail ingestion, and Cribl pipelines that reduce log volume by 30–70%. I focus on clean data onboarding, performance tuning, and SIEM use cases. If you need a Splunk expert who delivers clear results, optimized searches, and stable cloud integrations — I’m ready to help.

I'm a full-stack developer with 14+ years of coding experience and a B.S. in Information Technology (Computer Science focus) from Sam Houston State University. I specialize in web scraping, data extraction, and business automation—helping clients save time and increase revenue through custom technical solutions. What I Do Best: I build tools that solve real business problems. Whether you need to extract thousands of leads from Google Maps, monitor competitor pricing across e-commerce platforms, or automate repetitive workflows, I deliver production-ready solutions that work reliably at scale. My Technical Expertise: - Web Scraping & Data Extraction – Python (BeautifulSoup, Scrapy, Selenium, Playwright) - Full-Stack Development – React, Node.js, Express, modern JavaScript - API Integration – RESTful APIs, third-party integrations, webhook implementation - Business Automation – Email systems, report generation, workflow optimization - Data Processing – Pandas, CSV/Excel handling, database design (SQL, MongoDB) - E-commerce Solutions – Shopify/WooCommerce integration, payment processing Why Clients Choose Me: ✓ Fast, reliable delivery using modern development tools and best practices ✓ Clear communication—I explain technical concepts in plain English ✓ Business-focused approach—I care about your ROI, not just writing code ✓ Clean, documented code that's easy to maintain and scale ✓ 14+ years of hands-on experience solving real-world problems Recent Projects: I've built lead generation systems processing 10,000+ business records, price monitoring tools tracking multiple e-commerce platforms, automated invoicing systems with email integration, and custom dashboards connecting multiple APIs for real-time business intelligence. Let's Talk About Your Project: I'm here to understand your challenge and deliver a solution that works. Whether it's extracting data, automating workflows, or building a custom application, I bring both technical expertise and business understanding to every project. Ready to get started? Send me a message and let's discuss how I can help.

Enterprise Web Data Infrastructure (Scraping → Clean Data Feeds → APIs) I’m Francisco, a Computer Science Engineer and CEO at AutoScraping (Upwork Agency). When you hire me, you get me as your technical lead/POC and a delivery team behind me. We don’t just “build a scraper”; we own your web data pipeline end-to-end so your team can rely on it in production. ✅ What we handle (end-to-end) • JavaScript-heavy sites, complex navigation, logins/sessions • Anti-bot resilience: rate limits, retries, proxy/session strategy, monitoring & change handling • Data quality: schema definition, validation checks, normalization, deduplication • Delivery: CSV/JSON/Parquet, databases, data warehouses, S3/GCS, webhooks, or a documented REST API ✅ Engagement models (choose what fits) 1) DataFactory (Managed Data Feeds): we run everything; you just receive clean data on schedule. 2) DataSquad (Staff Augmentation): dedicated scraping/data engineers embedded in your team. 3) Build & Handover: production-ready code + documentation + deployment support. ✅ How we work • Quick scoping call → clear plan, risks, and success criteria • “Sample-first” delivery to validate fields and quality fast • Scale to production with predictable cadence + weekly status reporting ✅ Best fit Ideal for teams with business-critical or recurring data needs (production pipelines, larger volumes, long-term reliability). If you only need a lightweight one-time extraction, I can still help — but a managed pipeline is where we add the most value. Send: target URLs, required fields/schema, volume/frequency, and preferred delivery method — and I’ll reply with a concrete plan and next steps.

Lead / Email Databases. Protected websites. Public records. Court systems. Government platforms. I build automated data pipelines that transform difficult-to-access information into lead generation, monitoring systems, business intelligence, and decision-ready datasets. Most data extraction projects are not scraping problems. They are platform and data engineering problems. The real challenge is understanding the systems, APIs, anti-bot protections, public record platforms, and data flows underneath. Experience includes Tyler Odyssey, Socrata, Granicus, Laserfiche, ArcGIS, Akamai Bot Manager, DataDome, Cloudflare, reCaptcha, and dozens of government and enterprise platforms. What appears to be hundreds of independent websites is often a small number of underlying systems, allowing one solution to scale across entire markets, counties, or industries. 10+ years in technology and building data extraction systems plus industry experience working at top companies You describe the outcome you need. I design and build the extraction infrastructure. The result is data delivered where your team already works — database, dashboard, CRM, spreadsheet, API, or scheduled report. Selected work: Government, court & public records — 225+ counties monitored for court filings with ownership distress signals across NC, TX, GA, DE, NY, NY, and many more states — 100K+ business entities extracted from state registries, classified by vertical with AI, enriched with contact data Stack: Python, JS/TS, AI integration, direct platform connections over browsers when possible Best fit for organizations that need reliable access to difficult data and prefer to delegate the problem instead of managing freelancers. Whether it's public records, commercial intelligence, valuation data, monitoring systems, or a difficult platform that others failed to extract from, the engineering layer is usually the same. What you get is resilient infrastructure, not a throwaway script. --- lead generation, lead generation pipeline, real estate leads, real estate data, property data, automated valuation, avm, mls data, skip tracing, court records, court records monitoring, public records, foreclosure data, distress signals, ownership data, business entities, competitor intelligence, price monitoring, data extraction, web scraping, data pipeline, automated data pipeline, anti-bot, cloudflare bypass, akamai bypass, datadome, perimeterx, hidden api, api integration, reverse engineering, python automation, browser automation, scheduled extraction, proxy rotation, captcha solving, ai data processing, llm integration, claude api, anthropic api, ai agents, data classification, data normalization, data cleaning, data enrichment, data validation, document extraction, ocr, etl, data orchestration, postgresql, supabase, structured data delivery, government data, municipal data, regulatory data, foia, granicus, tyler odyssey, socrata, playwright, scrapy, selenium.

I build web scrapers that don't get blocked and don't break. 🛡️ If you've watched your bot get banned within minutes of hitting a site behind Cloudflare, DataDome, or Akamai — or inherited a brittle Selenium script that dies the moment the site changes — that's the problem I solve. I build data extraction systems designed to run for months, not days. 🔧 WHAT I BUILD High-volume scraping systems for: • E-commerce pricing & product data • Real estate listings • Business directories & lead generation • Contact extraction 🎯 THE HARD TARGETS This is where most scrapers fail and mine don't: • JavaScript-heavy SPAs, dynamic content, and infinite scroll • Login-gated pages • Serious anti-bot protection — Cloudflare, DataDome, Akamai, PerimeterX, CAPTCHA solving Where it's faster and more stable, I skip the headless browser entirely and reverse-engineer the site's internal API. For ongoing collection, I build scheduled crawlers with proxy rotation, session management, and browser fingerprint handling baked in. 💡 WHY CLIENTS HIRE ME Most scrapers on Upwork work once — on the developer's machine, on a good day. Mine ship with: • Retries, error handling, and failure alerts • Monitoring and scheduling, deployed on AWS or Docker — no babysitting • Clean, structured output: JSON, CSV, straight into PostgreSQL, or via a FastAPI endpoint — not a folder of messy HTML You'll also always know where the project stands. I communicate in plain English, flag risks early, and deliver fast. ⚙️ TECH STACK Python • JavaScript/TypeScript • Playwright • Selenium • Puppeteer • Scrapy • BeautifulSoup • FastAPI • Celery • Redis • Docker • AWS (EC2, Lambda, S3) • GitHub Actions Need the output AI-ready? I deliver structured data formatted for LLM and RAG ingestion. 📩 SEND ME A SITE Even one that's blocked every scraper you've thrown at it. Send the URL and a sentence about what you need, and I'll tell you honestly whether it's feasible, how I'd approach it, and what it would take. keywords: python, scrapy, selenium, requests, beautifulsoup, lxml, web scraping, web crawling, automation, bots, scrapers, spiders, cloudflare, captcha, puppeteer, playwright, tutoring, real estate, e-commerce, lead gen, zillow, trulia, realtor, redfin, streeteasy, linkedin, airbnb, auction, tripadvisor, craigslist, sales navigator, ebay, amazon, google listings, pandas, discord, google maps, indeed, glassdoor, walmart, bestbuy, target, etsy, facebook, instagram, twitter, tiktok, builtwith, walmart, watch, captcha, incapsula, cloudflare, akamai, travel, yelp, yellowpages, booking, reviews, finance, crypto, reddit, hotel, motel, zyte, leads, cars, automotive, doctor, google search, API, rest API, pcpartpicker, truepeoplesearch, restaurants, insurance, g2, retailer, zapier, google sheets, fashion, behance, serp, excel, ec2, workspace, senior, expert, bot, spreadsheet, chatGPT, data mining,automobiles,overstock,wayfair,flipkart,rakuten,jd,aliexpress,newegg,homedepot,lowes,expedia,orbitz,hotwire,kayak,skyscanner,delta,americanairlines,doordash,apartments,rent,cars,autotrader,edmunds,tesla,ford,mercedesbenz,bmwusa,twitter,pinterest,quora,reddit,,crunchbase,angel,patreon,medium,soundcloud,crawler,shopify,product,membership,directory,clay,n8n,AI,supabase,apollo,airflow

You have data that is messy, scattered, or stuck behind a site that does not want to give it up. I get it out, clean it, match and dedupe it, and hand it back as a spreadsheet, a database, or an API you can call. I am a Top Rated Python data engineer. Most of my work is public and live. The demos and the source are in the Portfolio section of this profile. What I do: - Scraping protected, anti-bot sites. This is the part I am known for. Sites behind Cloudflare, Incapsula, CAPTCHA walls, rate limits, and the usual bot-detection and WAF defenses. The tooling is Playwright with stealth, proxy rotation, and backoff and retry. Selenium when a page is JavaScript-heavy or login-walled, BeautifulSoup when the HTML is plain. Pagination handled, clean CSV or Excel out. One-time pull, or a scheduled job with change detection so you only see new or changed rows. - Cleaning, fuzzy matching, dedupe. Normalize, validate, then RapidFuzz multi-scorer matching to fold messy records from different sources into one clean dataset. This is the work clients keep coming back for. - Automation and pipelines. Scheduled jobs and ETL into PostgreSQL, Redis in front of it, data-quality and anomaly checks, FastAPI or Flask backends, Docker to deploy. Scrape, clean, match, load, deliver. Hands off after the first run. - API integrations and small apps. FastAPI plus React, third-party APIs (payments, translation, news and RSS feeds), JWT auth, webhook handling. The Portfolio section has the live ones. A data-quality and anomaly-detection framework I put in front of a pipeline load. A Dockerized FastAPI and React credit-risk system behind a JWT-auth API. A news-sentiment pipeline that ingests, cleans, analyzes and serves, live. A card-authorization API. More than that, each with a running URL and its source on my linked GitHub. The reviews on this profile say it better than I can. Clients hire me for scraping, automation and data work, and they come back. What comes up again and again: clear communication, work that arrives clean and works, and not needing to be chased. Read them in their own words. How I work: tight scope, plain language. Before you hire I will tell you how I would build it, where the real risk is (is the site JavaScript-rendered, is it behind a login, what bot detection does it run, how much data), and what you get for the money. If a site is genuinely not worth scraping I will say so upfront instead of burning your budget proving it. For scraping and pipeline jobs I can usually send a small sample first, a few rows or a profiling pass, so you see the actual output before you commit a cent. Stack: Python 3.10+, Playwright, Selenium, BeautifulSoup, RapidFuzz, pandas, FastAPI, Flask, PostgreSQL, Redis, Docker, React, TypeScript, scikit-learn, REST APIs, scheduled jobs and ETL. AWS Certified Data Engineer Associate and AWS Certified Cloud Practitioner. Send me the source (the site, the file, the API, or the messy dataset) and what you want out of it. I will come back with how I would build it, a fixed price, and a timeline. If it is a scrape or a cleaning job I can send a sample of the real output first, so you can judge it before you hire.