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Muhammad Umair A.
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Muhammad Umair A.

Web Scraping & Data Extraction Engineer | Scrapy Specialist

I build 𝗣𝘆𝘁𝗵𝗼𝗻 𝘄𝗲𝗯 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴 and 𝗱𝗮𝘁𝗮 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 for companies for 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿'𝘀 𝗽𝗿𝗶𝗰𝗲𝘀, listings, 𝘀𝗽𝗼𝗿𝘁𝘀𝗯𝗼𝗼𝗸 odds scraping, 𝗿𝗲𝗮𝗹 𝗲𝘀𝘁𝗮𝘁𝗲 listings, 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲 data extraction, and more. If you're pulling data manually, or your last scraper died the week the site added 𝗖𝗹𝗼𝘂𝗱𝗳𝗹𝗮𝗿𝗲, you're making decisions on stale numbers. I build web scraping, 𝗱𝗮𝘁𝗮 𝗺𝗶𝗻𝗶𝗻𝗴, and 𝘄𝗲𝗯 𝗰𝗿𝗮𝘄𝗹𝗶𝗻𝗴 pipelines that survive 𝗯𝗼𝘁 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 and keep loading clean records into PostgreSQL, MySQL, or MongoDB on a schedule you set. Over 6+ years, I've specialized in one thing: the sites other developers turn down. 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁-𝗵𝗲𝗮𝘃𝘆, 𝗹𝗼𝗴𝗶𝗻-𝗴𝗮𝘁𝗲𝗱, 𝗮𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗮𝗻𝘁𝗶-𝗯𝗼𝘁 — 𝘀𝗽𝗼𝗿𝘁𝘀𝗯𝗼𝗼𝗸𝘀, 𝗿𝗲𝗮𝗹 𝗲𝘀𝘁𝗮𝘁𝗲 𝗽𝗼𝗿𝘁𝗮𝗹𝘀, 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗰𝗮𝘁𝗮𝗹𝗼𝗴𝘀, 𝘃𝗲𝗵𝗶𝗰𝗹𝗲 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲𝘀, 𝗕2𝗕 𝗱𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝗶𝗲𝘀. If someone told you a site was "𝗡𝗢𝗧 𝗦𝗖𝗥𝗔𝗣𝗔𝗕𝗟𝗘," that's usually my job. 🚀 𝗥𝗘𝗔𝗟-𝗪𝗢𝗥𝗟𝗗 𝗣𝗢𝗥𝗧𝗙𝗢𝗟𝗜𝗢 (𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗬-𝗦𝗣𝗘𝗖𝗜𝗙𝗜𝗖 𝗥𝗘𝗦𝗨𝗟𝗧𝗦) 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 1: Real Estate Data Pipeline (MLS, Zillow, Fotocasa, Immobiliare) Continuous data scraping from real estate websites in the USA, Romania, Hungary, and Spain. We build a full Data pipeline to scrape the data, save it in PostgreSQL, and schedule it on a daily basis. It also sends alerts on scraper failures or any errors. 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 2: Ecommerce Pricing Intelligence (NZFarmSourcem Farmlands, PGG Wrightson NZ) Built a Scrapy + rotating proxies system tracking 11k+ SKUs → helped the client to set their margins and increase their sales. 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 3: Lead Scraping & Enrichment (Yelp, YellowPages, Google Maps) Automated lead extraction + email enrichment → scaled outreach to 10,000+ verified leads 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 4: Sportsbook Data Extraction(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, an error notifier to detect errors as early as possible, and a full ETL pipeline. 🚀𝗞𝗘𝗬 𝗦𝗞𝗜𝗟𝗟𝗦 ✅𝗣𝘆𝘁𝗵𝗼𝗻: Scrapers, automation, web apps, packaged desktop tools. Async (asyncio, httpx, curl_cffi) or threaded, depending on volume. ✅ 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: E-commerce, real estate, betting, vehicle, and directory sites. Static HTML through encrypted JavaScript APIs. ✅ 𝗦𝗰𝗿𝗮𝗽𝘆: Production spiders with proxy middleware, retry logic, and Scrapyd deployment. Thousands of pages an hour, no browser needed. ✅ 𝗦𝗲𝗹𝗲𝗻𝗶𝘂𝗺/𝗣𝗹𝗮𝘆𝘄𝗿𝗶𝗴𝗵𝘁/𝗣𝘆𝗗𝗼𝗹𝗹: Login-gated flows, infinite scroll, and sites that only render under a real browser. Threaded Chrome pools for parallel runs. ✅ 𝗥𝗲𝗾𝘂𝗲𝘀𝘁𝘀 & 𝗛𝗧𝗧𝗣 𝗥𝗲𝘃𝗲𝗿𝘀𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I read the network tab before opening a browser. Hitting the site's own internal API is faster, cheaper, and harder to block. ✅ 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Structured output from nested JSON, obfuscated payloads, inconsistent HTML, PDFs. Scrapy, Scrapling, requests, lxml, custom parsers. ✅ 𝗟𝗲𝗮𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Directory and map-based extraction with email and phone enrichment, deduplicated against your CRM before delivery. ✅ 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: Consuming public and paid APIs; delivery as a FastAPI endpoint, scheduled export, or dashboard feed. ✅ 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: Docker, Scrapyd, scheduled runs, daily automated reports, real-time dashboards, and failure alerts. 𝗛𝗢𝗪 𝗜 𝗕𝗨𝗜𝗟𝗗 𝗧𝗛𝗘𝗠: 𝗣𝘆𝘁𝗵𝗼𝗻 (asyncio, requests, httpx, curl_cffi) · 𝗦𝗰𝗿𝗮𝗽𝘆 · 𝗦𝗲𝗹𝗲𝗻𝗶𝘂𝗺 · 𝗣𝗹𝗮𝘆𝘄𝗿𝗶𝗴𝗵𝘁 · 𝗣𝘆𝗗𝗼𝗹𝗹 · 𝗖𝗵𝗿𝗼𝗺𝗲 𝗗𝗲𝘃𝗧𝗼𝗼𝗹𝘀 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 · 𝘂𝗻𝗱𝗲𝘁𝗲𝗰𝘁𝗲𝗱-𝗰𝗵𝗿𝗼𝗺𝗲𝗱𝗿𝗶𝘃𝗲𝗿 · 𝗿𝗲𝘀𝗶𝗱𝗲𝗻𝘁𝗶𝗮𝗹 𝗽𝗿𝗼𝘅𝘆 𝗿𝗼𝘁𝗮𝘁𝗶𝗼𝗻 · 𝗖𝗔𝗣𝗧𝗖𝗛𝗔 𝗯𝘆𝗽𝗮𝘀𝘀 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 · 𝗧𝗟𝗦 𝗳𝗶𝗻𝗴𝗲𝗿𝗽𝗿𝗶𝗻𝘁 𝘀𝗽𝗼𝗼𝗳𝗶𝗻𝗴 · 𝗥𝗲𝗱𝗶𝘀 𝗦𝘁𝗿𝗲𝗮𝗺𝘀 for distributed crawling · 𝗽𝗮𝗻𝗱𝗮𝘀 for data cleaning and deduplication · 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 if you need the output as an API · 𝗗𝗼𝗰𝗸𝗲𝗿 𝗮𝗻𝗱 𝗦𝗰𝗿𝗮𝗽𝘆𝗱 for deployment · daily automated reports and real-time monitoring dashboards. 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: PostgreSQL, MySQL, SQLite, MongoDB, Redis, Supabase, Airtable, Google Sheets, CSV/Excel/JSON. 𝗪𝗛𝗔𝗧 𝗬𝗢𝗨 𝗔𝗖𝗧𝗨𝗔𝗟𝗟𝗬 𝗚𝗘𝗧: Not a script that runs on my machine. A pipeline that runs on a schedule, retries on failure, alerts you when a site changes its layout, and hands your team clean, structured data they can query, plus documentation so you're not locked to me. 𝗦𝗲𝗻𝗱 𝗺𝗲 𝘁𝗵𝗲 𝗨𝗥𝗟 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝘀𝗰𝗿𝗮𝗽𝗲𝗱 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝘆𝗼𝘂 𝘂𝘀𝗲. 𝗪𝗶𝘁𝗵𝗶𝗻 24 𝗵𝗼𝘂𝗿𝘀 𝗜'𝗹𝗹 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝗵𝗼𝘄 𝘁𝗵𝗮𝘁 𝘀𝗶𝘁𝗲 𝗶𝘀 𝗽𝗿𝗼𝘁𝗲𝗰𝘁𝗲𝗱,

🇵🇰Kasur, Pakistan$22/hr100% JSS4.98 (99)Since Sep 2021

Earnings and projects

MRR
$570

Last 6 months ÷ 6

World#72,516 / 412k
🇵🇰Country#8,899 / 52.9k
Revenue, last 30 days
$105

Last 6 months: $3.4k

World#91,165 / 412k
🇵🇰Country#12,541 / 52.9k
Total earnings
$64k

Billed in all: $66k

World#61,870 / 412k
🇵🇰Country#5,144 / 52.9k
Per project
$448

$201 in the last 6 months

World#193,032 / 412k
🇵🇰Country#20,912 / 52.9k
Projects, last 6 months
17
76% fixed24% hourly
World#7,985 / 412k
🇵🇰Country#1,884 / 52.9k
Projects in all
142

Across 159 contracts

84% fixed16% hourly
World#17,101 / 412k
🇵🇰Country#2,468 / 52.9k

Earnings, last 30 days

$66k+$105 earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$65.8k$65.9k$66.0kOct 9Oct 24Nov 8

Skill rankings: Top 11% in Beautiful Soup

Ranked by MRR among everyone on Upwork with the skill.

  1. #8Scraper Site44 freelancers · 🇵🇰 #3Top 18%
  2. #9Screen Scraping45 freelancers · 🇵🇰 #4Top 20%
  3. #25Python-Requests179 freelancers · 🇵🇰 #9Top 14%
  4. #25Web Scraping Framework120 freelancers · 🇵🇰 #11Top 21%
  5. #67Beautiful Soup634 freelancers · 🇵🇰 #20Top 11%
  6. #93Browser Automation444 freelancers · 🇵🇰 #24Top 21%
  7. #124Scrapy903 freelancers · 🇵🇰 #37Top 14%
  8. #146Web Crawling849 freelancers · 🇵🇰 #37Top 17%