Hire the Best Data Scrapers

With 10+ years of experience, I'm a Web Scraping, Data Engineer, AI/ML and Full-Stack Developer specializing in large-scale data extraction, automation, and pipeline engineering. I build robust, scalable systems that transform raw data into actionable insights. 💡 Core Expertise Web Scraping & Automation: Expert in bypassing anti-bot systems (CAPTCHA, rate limits, IP rotation) using Scrapy, BeautifulSoup, Selenium, Playwright, and rotating proxies. Data Engineering: Designing efficient ETL/ELT pipelines with Apache Airflow, Pandas, PySpark, and Dask for both structured and unstructured data. Backend Development: High-performance APIs and microservices with FastAPI, Django, Flask, and Celery for async task handling. AI/ML Integration: Leveraging NLP and LLMs (LangChain, Llama, NLTK) for data enrichment, classification, and intelligent automation. Cloud & DevOps: Deploying scalable scrapers and data workflows on AWS (Lambda, ECS, S3), GCP, Docker, and Kubernetes. 🛠️ Tech Stack Data & Scraping: ▸ Scrapy | Selenium | Playwright | Proxies (BrightData, ScraperAPI) ▸ Pandas | PySpark | Apache Airflow | PostgreSQL | MongoDB | Redis Backend & Cloud: ▸ Python (FastAPI, Django, Flask) | Celery | RabbitMQ ▸ AWS (Lambda, ECS, RDS, S3) | GCP | Docker | Kubernetes AI/ML: ▸ NLP (NLTK, spaCy) | LLMs (LangChain, OpenAI, Llama) | Data Annotation ✨ Why Work With Me? ✅ Reliable Data Delivery Clean, structured datasets with built-in monitoring and error handling. ✅ Anti-Scraping Solutions Stealth scraping, headless browsers, and proxy rotation. ✅ End-to-End Ownership From scraping to storage (DBs, S3) to API delivery. Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!

Public records. Court systems. Government platforms. Protected websites. 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. 20+ years in technology and 9+ years building data extraction systems, backed by a network security background. That combination is why protected platforms, hidden APIs, and anti-bot systems tend to be predictable engineering problems rather than obstacles. 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 and TX — turning public records into actionable real estate leads — 96K+ business entities extracted from state registries, classified by vertical with AI, enriched with contact data — 5,000+ municipal meetings analyzed across 5 platforms (Granicus, CivicPlus, PrimeGov); architecture scales to any county without code changes Commercial data at scale — 150K+ grocery products monitored every 2-5 hours across UK retailers, through Akamai Bot Manager — 125K+ automotive parts synchronized daily from protected marketplaces — 100K+ real estate listings deduplicated and enriched with tax records, powering automated valuation AI-augmented processing — 50K+ companies classified via LLM with configurable framework — 1,000+ medical clinic sources standardized for terminology — Autonomous pipelines delivering decisions, not just data Stack: Python, JS/TS, AI integration, direct platform connections over browsers when possible. 28+ government platforms mapped and covered — the adapter library grows with every engagement. 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.

Looking for 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀? ✔ Need to convert Large websites into structured data? ✔ Want to extract data from 𝗰𝗼𝗺𝗽𝗹𝗲𝘅, 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁-𝗵𝗲𝗮𝘃𝘆 sites? ✔ Looking for data to 𝗽𝗼𝘄𝗲𝗿 your business analysis? ✔ Need real-time data for 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 or 𝗽𝗿𝗶𝗰𝗲 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻? ✔ Want clean, ready-to-use datasets for your ML projects? I build scalable 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 that extract clean, accurate dataset using 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴, 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴, 𝗔𝗣𝗜𝘀, 𝗦𝗰𝗿𝗮𝗽𝘆, 𝗦𝗲𝗹𝗲𝗻𝗶𝘂𝗺, 𝗣𝘆𝗗𝗼𝗹𝗹, 𝗣𝗹𝗮𝘆𝘄𝗿𝗶𝗴𝗵𝘁, 𝗕𝗿𝗼𝘄𝘀𝗲𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗣𝗿𝗼𝘅𝘆 𝗥𝗼𝘁𝗮𝘁𝗶𝗼𝗻, 𝗖𝗔𝗣𝗧𝗖𝗛𝗔 Bypass, and 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 even for complex, 𝗹𝗼𝗴𝗶𝗻-𝗯𝗮𝘀𝗲𝗱 and 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁-𝗵𝗲𝗮𝘃𝘆 websites like 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲, 𝗕𝗲𝘁𝘁𝗶𝗻𝗴 𝗢𝗱𝗱𝘀, 𝗩𝗲𝗵𝗶𝗰𝗹𝗲 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲𝘀, and 𝗕2𝗕 𝗹𝗲𝗮𝗱 𝗱𝗮𝘁𝗮, all integrated directly into MongoDB, PostgreSQL, MySQL, Redis, Supabase, Airtable, or any database you use. With 6+ 𝘆𝗲𝗮𝗿𝘀 of experience and 1000+ completed scraping, automation, and data processing projects, I deliver reliable pipelines that run 24/7 without breaking. 𝙆𝙚𝙮 𝙎𝙠𝙞𝙡𝙡𝙨: ✅𝗣𝘆𝘁𝗵𝗼𝗻: Proficient in Python programming for web scraping, automation, web-apps, and desktop-based apps. ✅𝗦𝗰𝗿𝗮𝗽𝘆: Expert in using the Scrapy framework for efficient web scraping. ✅𝗥𝗲𝗾𝘂𝗲𝘀𝘁𝘀: Skilled in making HTTP requests to interact with websites for data extraction. ✅𝗦𝗲𝗹𝗲𝗻𝗶𝘂𝗺: Experienced in automating web browsers for complex scraping and automation tasks. ✅𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Proficient in extracting data from various web structures and formats using Scrapy, Scrapling, requests, and many more. ✅𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: Skilled in storing data in different formats and databases, including TXT, CSV, Excel, Google Sheets, Airtable, SQL(𝗦𝗤𝗟𝗶𝘁𝗲, 𝗠𝘆𝗦𝗤𝗟, 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝘀, 𝗦𝘂𝗽𝗮𝗯𝗮𝘀𝗲), NoSQL(𝗠𝗼𝗻𝗴𝗼𝗗𝗕, 𝗥𝗲𝗱𝗶𝘀), and JSON. ✅𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴: Capable of analyzing and extracting insights from large datasets. ✅𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: Skilled in obtaining data from the internet efficiently. ✅𝗪𝗲𝗯 𝗖𝗿𝗮𝘄𝗹𝗲𝗿𝘀: Proficient in developing bots to traverse websites and collect data. ✅𝗟𝗲𝗮𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Experienced in extracting leads from websites for marketing purposes. ✅𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Streamline processes and improve efficiency through Selenium/playwright/pydoll automation. ✅𝗔𝗣𝗜: Connect and extract data from various publicly and officially available APIs efficiently. ✔ 𝗪𝗵𝘆 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗣𝗿𝗲𝗳𝗲𝗿 𝗠𝘆 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 I don’t just “𝗯𝘂𝗶𝗹𝗱 𝘀𝗰𝗿𝗮𝗽𝗲𝗿𝘀.” I build data engines that save time, 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝗿𝗲𝘃𝗲𝗻𝘂𝗲, and automate what your team is doing manually. Whether you need real estate property feeds, Amazon price monitoring, lead extraction, sportsbook odds scraping, or large-scale datasets for analytics, you get clean, structured data optimized for business use. 🚀 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 (𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗥𝗲𝘀𝘂𝗹𝘁𝘀) 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 1: 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗠𝗟𝗦, 𝗭𝗶𝗹𝗹𝗼𝘄, 𝗥𝗲𝗮𝗹𝘁𝗼𝗿) Continuous data scraping from real estate websites of the USA, Romania, Hungary, and Spain. We extract all available data from each website and save it in a PostgreSQL database. 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 2: 𝗘𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗣𝗿𝗶𝗰𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗡𝗭𝗙𝗮𝗿𝗺𝗦𝗼𝘂𝗿𝗰𝗲, 𝗙𝗮𝗿𝗺𝗟𝗮𝗻𝗱𝘀, 𝗣𝗚𝗚 𝗪𝗿𝗶𝗴𝗵𝘁𝘀𝗼𝗻 𝗡𝗭) Built a Scrapy + rotating proxies system tracking 11k+ SKUs → helped client to set their margins and increase their sales. 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 3: 𝗟𝗲𝗮𝗱 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 & 𝗘𝗻𝗿𝗶𝗰𝗵𝗺𝗲𝗻𝘁 (𝗬𝗲𝗹𝗽, 𝗬𝗲𝗹𝗹𝗼𝘄𝗣𝗮𝗴𝗲𝘀, 𝗚𝗼𝗼𝗴𝗹𝗲𝗠𝗮𝗽𝘀) Automated lead extraction + email enrichment → scaled outreach to 10,000+ verified leads 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 4: 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗳𝗿𝗼𝗺 𝗕𝗲𝘁𝘁𝗶𝗻𝗴 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀(𝗨𝗻𝗶𝗯𝗲𝘁, 𝗧𝗶𝗽𝗶𝗰𝗼, 𝗗𝗿𝗮𝗳𝘁𝗸𝗶𝗻𝗴, 𝗕𝗼𝘃𝗮𝗱𝗮) Extract data such as 1X2, over/under, and moneyline odds from 30+ sportsbook websites worldwide and save it in MongoDB for further analysis. In this, we integrate proxy-rotation middleware and an error notifier to detect errors as early as possible. ✔ 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 ☑️ High-volume Scrapy/Playwright Scrapers ☑️ JavaScript & anti-bot protected Scraping ☑️ Proxies + fingerprint spoofing ☑️ Real-time dashboards & APIs ☑️ Lead scraping + enrichment systems ☑️ Daily/weekly automated reports ☑️ Cloud deployment (Scrapyd, Docker) Send me the website you want scraped + the database you use, and I’ll analyze it for free and show you the fastest, most scalable way to turn it into an automated data pipeline.

Struggling with websites that block your scraper? Need data collected automatically without doing it manually every day? Want your web scraping process to run faster and deliver cleaner results? I solve exactly these problems. Whether you need to extract thousands of records from complex sites, automate repetitive data collection, or build a system that monitors and alerts you when new data appears - I build it in Python and it runs on its own. What clients come to me for: — Sites blocking scrapers or showing CAPTCHAs — Data scattered across multiple sources that needs consolidating — Manual data collection eating up hours every week — Raw scraped data that's messy and needs cleaning — Need a REST API to deliver scraped data automatically Tools I use: Python · Playwright · BeautifulSoup · REST API · PostgreSQL · pandas · Apify · Google Sheets API 5 jobs completed · 5-star rated · 50,000+ records delivered · CAPTCHA-protected sites handled Send me your project and I'll tell you exactly how I'd solve it. Got a complex challenge? I offer a free 15-minute call before you commit to anything. — Aleko

I build custom web scraping systems in Python for JavaScript-heavy sites, browser automation flows, login-protected pages, and recurring data collection pipelines. If you need clean structured data delivered from a website into CSV, Excel, Google Sheets, APIs, or a database, I can build the scraper and the surrounding workflow. What I can help with: - Web scraping and data extraction - Python scrapers for dynamic websites - Selenium and browser automation - Reverse engineering XHR / network requests - Anti-bot aware scraping workflows - Scheduled scraping pipelines - Data cleanup, normalization, and delivery I work on both one-off scraping jobs and long-running scraping systems. My focus is reliability, maintainability, and clean output rather than fragile scripts that break after a small site change. Common use cases: - Lead and business directory scraping - E-commerce product and pricing scraping - Real estate and listing scraping - Report download automation - Internal dashboard and dataset generation Tech I use when appropriate: Python, Selenium, Playwright, requests, aiohttp, BeautifulSoup, lxml, browser automation, APIs, Docker If you have a target site and sample output format, send it over and I can tell you the best scraping approach.

Hi, I'm Saima Ali, a web scraping developer who builds clean, reliable scrapers in Python. I extract data from any website (including login-protected, dynamic, and JavaScript-heavy sites) and deliver it in CSV, Excel, JSON, or straight into your database. A past client wrote: "Do not hesitate to use this gem of a programmer. She knows her stuff inside out." That's the standard I aim for on every job. If you've been frustrated with scrapers that break after a week, miss data, or return messy files, I focus on the opposite: structured output, stable runs, and code you can actually maintain. What I can scrape for you: 1) E-commerce product data (Amazon, Shopify, eBay, AliExpress) — titles, prices, SKUs, variants, stock, images 2) Real estate listings (Zillow, Redfin, Realtor) — property details, prices, agent info 3) Lead generation data — emails, phone numbers, company info from directories and business listings 4) Social media data — Instagram, Twitter/X, TikTok, YouTube profiles and posts 5) Google Maps business scraping — name, address, phone, ratings, reviews 6) PDF and document extraction — catalogues, reports, invoices into structured tables 7) Login-protected and infinite-scroll sites — sites others say are "impossible" to scrape 8) Existing scraper fixes, debugging, and stabilization 9) Scheduled scrapers that run daily/weekly with monitoring and email alerts My toolkit: Python · Scrapy · Selenium · Playwright · BeautifulSoup · Requests · Pandas · XPath · CSS Selectors · JSON · CSV · Excel · MySQL · PostgreSQL · MongoDB · Proxies · Headless browsers · Cron jobs · API integration How I work: 1) You send me the site(s) and the data fields you need 2) I check the site and tell you honestly if it's possible, how long it'll take, and the cost 3) I build the scraper and send you a sample output for approval 4) I deliver the full data + the script (if you want it) so you can re-run it later 5) Free fixes for 7 days after delivery if anything breaks I work fast most small jobs delivered in 24–48 hours. I reply to messages quickly and I won't disappear mid-project. If I'm not the right fit for your project, I'll tell you upfront instead of wasting your time. Send me a message with the website link and the data fields you need. I'll reply within a few hours with a clear quote and timeline.