Hire the Best Data Scrapers

With 7+ years of experience, I'm Expert in 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. Automation & Workflow Engineering: Airflow, Prefect, Dagster, n8n, Zapier, Make, Power Automate, UiPath, Step Functions, Logic Apps, GCP Workflows, Business Process Automation, RPA, CI/CD, Jenkins, GitHub Actions, GitLab CI/CD, Monitoring & Alerting. Data Engineering: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using Apache Airflow, Apache Spark (PySpark), Pandas, Dask, Databricks, Snowflake, Apache Kafka, Apache Hive, Apache Hadoop, Delta Lake, Apache Iceberg, dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache NiFi, Trino, Presto, and Apache Beam. Experienced in data warehousing, data lakes, lakehouse architectures, data modeling, data transformation, data quality, data governance, batch and real-time processing, streaming data pipelines, orchestration, workflow automation, schema design, partitioning, optimization, and performance tuning. Proficient with cloud platforms including AWS, Azure, and GCP, S3, Redshift, EMR, Athena, Lambda, Azure Synapse Analytics, Azure Data Lake Storage, BigQuery, Cloud Storage, and Pub/Sub. Skilled in SQL, Python, data integration, data migration, CDC, metadata management, monitoring, CI/CD, Docker, Kubernetes, and modern data stack technologies. 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, etc) ▸ 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 Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!

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.

👋 I’m Jahanzaib, a Web Scraping & Data Extraction Specialist with experience building fast and reliable scrapers using Python, Scrapy, Selenium, and Playwright. I deliver clean, structured data for data mining, lead generation, and also build Django dashboards to visualize and analyze the data efficiently. ⭐ What I Deliver ✅ Clean, structured, and ready-to-use datasets from any website ✅ Automated web scraping and data extraction pipelines (daily/weekly) ✅ Accurate data mining and data scraping at scale with proxy rotation & anti-bot bypass ✅ Lead generation data including emails, contacts, listings, pricing, and market trends ✅ Reliable data entry and processing for large datasets ✅ Custom Django dashboards to visualize and manage scraped data ⚡ Technical Strengths ⚡ CAPTCHA solving & anti-bot mitigation (2Captcha, OCR, smart retries) ⚡ Proxy rotation: residential, datacenter, and mobile for large-scale web scraping ⚡ Login automation, session handling, and authenticated data extraction ⚡ Rate-limiting, headless browsers, and fault-tolerant web crawlers ⚡ CSV/Excel/API outputs and cloud automation for data scraping pipelines 🔹 What I Can Scrape 🔹 E-commerce platforms (products, prices, competitors) 🔹 Real estate websites (properties, listings, trends) 🔹 Automotive listings (leads, inventory, market research) 🔹 B2B directories & lead generation websites 🔹 Custom portals, dashboards, and structured data sources 🚀 Let’s Work Together I provide professional web scraping, data extraction, data mining, web crawlers, lead generation, and automated data scraping pipelines. I can also build Django dashboards to display your data in a clean and actionable format. Share your requirements, and I’ll deliver accurate, timely, and structured data that helps your business grow.

I build the unglamorous data layer most founders don't want to touch: web scrapers, data pipelines, data cleanup and enrichment, and small AI automations. And I ship fast, with a working sample instead of promises. A few things I've built: • A scraper pulling product pricing across 14 states into a live, filterable dashboard • A tool that turns messy Confluence spaces into clean, agent-ready docs (markdown, stable anchors, llms.txt) • A Hyperliquid wallet PnL analyzer, and a Meteora DLMM impermanent-loss backtester • codexplays.games, autonomous AI agents I run in public What I'm best at: getting data out of stubborn sites (Playwright, Selenium, requests), cleaning and structuring it, wiring it into Postgres, Sheets, or APIs, and automating the boring parts. Stack: Python, Playwright, Pandas, Supabase/Postgres, plus LLM and agent tooling when it earns its place. How I work: I'd rather show you a working sample than talk. Send me the site or the data problem and I'll usually hand back a small proof before you commit to anything. Fast turnarounds, clean handoffs, and I'm honest about what's actually doable.

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.

If a website fights back - enterprise anti-bot, hidden APIs, court and government platforms - that's exactly what I've specialized in for 9+ years. When standard scraping tools and AI scrapers hit a wall, that's where my work starts: getting the data out at scale, and keeping the pipeline alive long after the demo. I go deepest in real estate and public records (court filings -> ownership and foreclosure signals), but the same systems run price monitoring across UK retail, marketplace sync behind enterprise anti-bot, and B2B lead generation. Whatever the source, you get working infrastructure that runs daily - not a zip file with a script in it. I've spent 9+ years on Data Extraction & Pipelines (20+ in technology, with a network security background) getting data out of sources that don't want to give it up, and turning it into systems my clients run their businesses on: deal sourcing, lead generation, price monitoring, market intelligence. Clients usually come to me when: - An existing extraction process keeps breaking and the data it feeds can't be trusted anymore - The data lives behind protected sites, anti-bot, or a hidden API no off-the-shelf tool reaches - The work spans many counties or platforms and needs one system, not one-offs per source - They want ownership distress signals before competitors find them - Public records need turning into lead generation and skip-tracing workflows - The data has to stay current - ongoing monitoring, not a one-time export Where I'm genuinely hard to replace: Protected sites and hidden APIs. Akamai, Cloudflare, DataDome, PerimeterX, reCaptcha, device fingerprinting. Mobile and web reverse engineering to reach hidden APIs when the protocol allows it - direct platform connections over headless browsers. When standard web scraping tools and AI scrapers hit a wall, this is the work I've specialized in for years. And if a target is technically or legally not viable, I'll tell you that too, before you spend money. Court and government platforms. Tyler Odyssey, Socrata, Granicus, Laserfiche, CivicPlus, ArcGIS and a few dozen more I've already mapped. Here's the thing most people miss: what looks like hundreds of different government websites is usually a handful of underlying platforms. On a recent project, 250+ government sites came down to 10 integrations. Build the adapter once and the same system covers an entire state. Your project starts further ahead because of every project before it. Pipelines that stay alive. Monitoring, alerting, retries, data quality checks, AI-assisted classification where it makes sense. I've taken over plenty of projects where the previous solution worked great in the demo and died three weeks later. Getting the data out is half the job. I also wire it into the systems your team already runs - CRM, database, sheets, scheduled reports (HubSpot, Postgres and the like) - so the pipeline ends where you actually work, not in a raw file. Selected work: - 150,000+ grocery products monitored every 2-5 hours across major UK retailers - 125,000+ automotive parts synchronized daily from marketplaces behind enterprise anti-bot Court records pipeline detecting ownership distress signals across 225+ counties, feeding real estate acquisition workflows - 100,000+ real estate listings deduplicated and merged with ownership, tax and valuation data for AVM workflows - 96,000+ business entities extracted from government registries, classified by industry with LLMs, enriched with contact data - 250+ government sites analyzed and reduced to 10 platform integrations - 5,000+ municipal meetings scraped and analyzed with AI keyword intelligence across five government platforms; adding a new jurisdiction requires zero code changes Stack: Python, Playwright, Scrapy, FastAPI, PostgreSQL, MongoDB, JS/TS, LLM integration, OCR, document processing, ETL workflows. A note on how I prefer to work: the best results come from ongoing monitoring relationships, not one-off extractions. Sources change; a system someone maintains beats a deliverable someone forgets. I offer managed monitoring for clients who need continuous data, and fixed-scope builds when tha --- real estate data, property data, real estate leads, mls data, foreclosure data, court records monitoring, government data, municipal data, regulatory data, foia, competitor intelligence, data pipeline, automated data pipeline, scheduled extraction, data orchestration, proxy rotation, browser automation, python automation, data classification, data normalization, data enrichment, data validation, document extraction, structured data delivery, supabase, ai data processing, llm integration, demandstar, tyler odyssey, granicus, primegov, legistar, civicplus, agendacenter, civicclerk, escribe, agendalink, laserfiche, swagit, hyland onbase, iqm2, civicweb, boarddocs, diligent, revize, municode, destiny, veconnect, tyler energov, arcgis hub, ckan, accela, opengov, clerk of courts, property appraisers.