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You will get Event and conference attendee data compiled and organized

Francis C.Status: Offline
Francis C. Francis C.
4.9
Top Rated
Preview image

Let a pro handle the details

Buy Data Entry services from Francis, priced and ready to go.
Francis C.Status: Offline
Francis C. Francis C.
4.9
Top Rated
Preview image

Let a pro handle the details

Buy Data Entry services from Francis, priced and ready to go.

Project details

You will get a complete and well-structured attendee dataset prepared from your event or conference platform, delivered in a clean CSV or Excel format. I focus on compiling and organizing full attendee lists with accuracy and attention to detail.

Every project is handled professionally, with clear communication and fast delivery. The data is formatted, consistent, and ready for immediate use in marketing, outreach, or analysis.

Reliable. Structured. Delivered on time.
Data Entry Type
Copy Paste, Data Cleansing, Document Conversion, Error Detection, Online Research, Word Processing
Data Entry Tool
Microsoft Excel

What's included $100

These options are included with the project scope.

$100
  • Delivery Time 1 day
    • Formatting & Clean Up
4.9
205 reviews
98% Complete
(200)
1% Complete
(2)
1% Complete
(2)
1% Complete
(0)
1% Complete
(1)

NM

Nicole M.
5.00
May 28, 2026
5 scrapes - 14-04-2025

UA

Upwork A.
5.00
Mar 3, 2026
Talent Store: VPD - 012 Fast and efficient – thank you!

CB

Chaika B.
5.00
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CB

Chaika B.
5.00
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Talent Store: GPD - 012

EC

Eduardo C.
5.00
Feb 10, 2026
API Data Retrieval to Excel Sheet
Francis C.Status: Offline

About Francis

Francis C.Status: Offline
Web Scraping & Data Extraction | Python, Scrapy, Selenium, Playwright
100% Job Success
4.9  (205 reviews)
Kottayam, India - 8:41 am local time
Web Scraping and Data Extraction specialist — 8+ years, 400+ projects, 5,000+ websites scraped. I build reliable, production-ready scrapers and ETL pipelines in Python that turn websites, mobile apps, APIs, databases, and raw files into clean, structured, decision-ready data.
Whether the source is a JS-heavy site, an authenticated portal behind login, a mobile app, a public or hidden API, a database, or a raw dataset, I design the right solution — then clean, validate, deduplicate, and deliver it as CSV, Excel, JSON, database, or API.
🔍 Tools

Python · Scrapy · Selenium · Playwright · BeautifulSoup · Frida · Jadx · mitmproxy · pandas · SQL · AWS
✨ Core Expertise

▸ Web Scraping & Crawling — large-scale crawler pipelines with session handling, pagination, retries, and validation. Static sites, dynamic JS-rendered pages, e-commerce, real estate, store locators, and sites behind login.

▸ Mobile App Scraping & Reverse Engineering — extracting data from Android apps, including API discovery and encryption/decryption via Frida, Jadx, and mitmproxy. A genuine specialty most scrapers can't deliver.

▸ Data Extraction & Mining — business, product, pricing, contact, reviews, listings, real estate, insurance, and lead-gen datasets from websites, apps, APIs, databases, PDFs, and raw files.

▸ Python Automation & API Work — hidden-API discovery, authenticated API clients, scheduled automation, price monitoring, and change tracking (sessions, cookies, headers, tokens).

▸ ETL & Data Engineering — cleaning, transformation, validation, enrichment, deduplication, and delivery with Python, pandas, SQL, and AWS at scale.
🎯 Selected Projects

▸ Scraped 100M+ employee reviews across 20 countries for a Harvard Business School study — a scalable Python pipeline handling pagination, rate limiting, deduplication, and multi-region coverage.

▸ Parsed 2TB of machine-readable (MRF) files on AWS to extract structured insurance pricing — streaming/iterative parsing far larger than memory, normalized into clean tables.

▸ Tracked 816 store locators across US and EU retail chains with scheduled crawler + ETL pipelines to detect new openings — a signal used to predict real-estate prices.

▸ Built multi-source scrapers extracting 500K+ business records from Yelp, Google Maps, and similar — name, address, phone, email, website, category — deduped and delivered in CSV, Excel, JSON.
✅ Why Clients Hire Me

▸ Production-ready scrapers and ETL pipelines built to your exact data needs

▸ Hard-to-reach sources handled — anti-bot protection, login walls, mobile apps, hidden APIs

▸ Clean, deduplicated data in your preferred format

▸ Clear communication, reliable delivery, documentation, and ongoing maintenance
🤝 Next Step

Share the source, the fields you need, and your delivery format — I'll come back with a clear plan, timeline, and exactly what I can deliver. Browse my portfolio below for examples and reviews.

Steps for completing your project

After purchasing the project, send requirements so Francis can start the project.

Delivery time starts when Francis receives requirements from you.

Francis works on your project following the steps below.

Revisions may occur after the delivery date.

Review Event App Access

Verify app access, confirm data availability, and review required attendee fields.

Extract Attendee Data

Collect all available attendee profiles from the specified event app.

Review the work, release payment, and leave feedback to Francis.