You will get Data via data scraping, web scraping with python code

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

Let a pro handle the details

Buy Data Mining & Web Scraping services from Francis, priced and ready to go.
Francis C.Status: Offline
Francis C. Francis C.
4.9
Top Rated

Let a pro handle the details

Buy Data Mining & Web Scraping services from Francis, priced and ready to go.

Project details

Hello, my name is Francis. With my 4+ years of experience in web scraping and python, scrapy, selenium, I’m here to help you to provide web scraping, data extraction, data mining, and Python scraping from any (or your required) websites or directories with 100% satisfaction (with permission from the website owner).

I will also write web scraping scripts that will extract data automatically as per your requirements.
I will also use Customer specified libraries if necessary For web scraping



* 4+ years of Experience in Web Scraping
* Expert in Dynamic Business directories Website
* Expert in E-Commerce Database Scraping
* Expert in Proxy Scraping Site

Services I provide:

* Scrape data from websites
* Web scraping from directories
* Data extraction
* Data Collection
* Data Mining
* Email Scraping
* Python scraping
* Extract Products Information from any e-commerce website


The output data will be delivered in,

* XLS
* CSV
* JSON
* excel
* or any other format


Why did you choose me?

* 100% Client Satisfaction
* 24/7 Customer help services
* Fast Turnover
* Give good Quality Work


Note: Kindly Message me before placing an order



With warm regards, Francis
Data Tool
Python

What's included $150

These options are included with the project scope.

$150
  • Delivery Time 2 days
  • Number of Pages Mined/Scraped 100000
  • Number of Sources Mined/Scraped 1
  • Number of Revisions 1
Optional add-ons You can add these on the next page.
Fast 1 Day Delivery
+$25

Frequently asked questions

4.9
206 reviews
98% Complete
1% Complete
1% Complete
1% Complete
(0)
1% Complete

JB

Jonathan B.
5.00
Oct 12, 2023
Francis produced the work quickly and accurately. Would highly recommend.

JJ

Joe J.
5.00
Apr 12, 2022
Francis C.Status: Offline

About Francis

Francis C.Status: Offline
Web Scraping & Data Extraction | Python, Scrapy, Selenium, Playwright
100% Job Success
4.9  (206 reviews)
Kottayam, India - 2:36 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.

provide data source(Website url from where the data is present)

Provide the website url so I can run my initial analysis on the website before proceeding with the job

i will analyze the website and run some tests

I will analyze the website first to check whats methods I should use for successfully scraping the website

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