You will get web data extraction in 24 hrs
Top Rated
Top Rated
Project details
data extraction using python
For data extraction, I will use advanced Python packages such as BeautifulSoup, Selenium, and Scrapy. I'm capable of creating unique material from the start to meet the necessary information focused on static and dynamic sites and indexes.
What will you get by hiring me?
• Scraping online directories to obtain business leads
• To obtain product information from online retailers.
• To compile a list of schools, doctors, and stores.
• To obtain movie ratings and information.
• Keeping track of weather and stock market prices.
• Other inquiries may necessitate the development of custom software.
Note:
The data must be made available to the public.
If login credentials are required to complete the operation, the customer must provide them to me.
Please get in touch with me before making your purchase to discuss your needs and the project in further detail.
I'm not gathering any personal information.
For data extraction, I will use advanced Python packages such as BeautifulSoup, Selenium, and Scrapy. I'm capable of creating unique material from the start to meet the necessary information focused on static and dynamic sites and indexes.
What will you get by hiring me?
• Scraping online directories to obtain business leads
• To obtain product information from online retailers.
• To compile a list of schools, doctors, and stores.
• To obtain movie ratings and information.
• Keeping track of weather and stock market prices.
• Other inquiries may necessitate the development of custom software.
Note:
The data must be made available to the public.
If login credentials are required to complete the operation, the customer must provide them to me.
Please get in touch with me before making your purchase to discuss your needs and the project in further detail.
I'm not gathering any personal information.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 2 days |
Number of Pages Mined/Scraped | 10000 | 100000 | 200000 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 1 | 1 | 2 |
Frequently asked questions
207 reviews
(202)
(2)
(2)
(0)
(1)
FC
Fatih C.
Jan 12, 2025
Thanks. Great work again :-)
FC
Fatih C.
Jan 3, 2025
Great job,
Thank you Francis
Thank you Francis
JC
Johann C.
Feb 17, 2024
RR
Richard R.
Nov 29, 2023
MA
Mohamed A.
Dec 5, 2022
As always , great job done quickly on such short notice!
CV
Christina V.
Jul 17, 2026
mipcom.com -scrape
Francis is great to work with! Always on time, sometimes even faster than we expected we turns all requests very efficiently and is always responsive to any additional requests you could have.
PT
Paul T.
Jul 2, 2026
Data Extraction — Product Listings & Image Collection
He's a great vendor, easy to work with, and navigated around any issues we encountered without asking for additional compensation which was much appreciated. I highly recommend Francis!
NM
Nicole M.
May 28, 2026
5 scrapes - 14-04-2025
UA
Upwork A.
Mar 3, 2026
Talent Store: VPD - 012
Fast and efficient – thank you!
CB
Chaika B.
Mar 3, 2026
Talent Store: SPD - 012
About Francis
Superfast Web Scraping & Data Extraction | Free sample scrapes
100%
Job Success
Kottayam, India - 2:39 am local time
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.
provide the data source
the client should message me first and share the data source, so I can check if I can scrape the source
initial analysis
I will analyze the data source provided by the client