You will get Public Data Extraction | Verified B2B Leads from Maps & Directories
Rising Talent
Rising Talent
Project details
Need clean, verified business leads for outreach, research, or SEO?
I’ll extract accurate, structured data from public sources like Google Maps, LinkedIn, Justdial, Facebook Pages, Yelp, and niche directories, using custom Python scripts.
I only extract publicly available data, fully aligned with Upwork’s Terms of Service. No scraping of login-protected or private content.
You’ll receive:
• Verified, de-duplicated business data
• Fields like name, phone, email, website, category, rating, and more
• Format: Excel, CSV, or Google Sheets
• Ready for B2B lead generation, cold email, CRM input, or market research
Sources Supported
Google Maps, Justdial, LinkedIn (public company pages), Facebook Pages, Yelp, 1688.com, and more.
Tools Used: Python, BeautifulSoup, Selenium, Pandas, Regex
Want accurate leads collected legally and delivered cleanly?
Choose the right tier and let’s get started.
I’ll extract accurate, structured data from public sources like Google Maps, LinkedIn, Justdial, Facebook Pages, Yelp, and niche directories, using custom Python scripts.
I only extract publicly available data, fully aligned with Upwork’s Terms of Service. No scraping of login-protected or private content.
You’ll receive:
• Verified, de-duplicated business data
• Fields like name, phone, email, website, category, rating, and more
• Format: Excel, CSV, or Google Sheets
• Ready for B2B lead generation, cold email, CRM input, or market research
Sources Supported
Google Maps, Justdial, LinkedIn (public company pages), Facebook Pages, Yelp, 1688.com, and more.
Tools Used: Python, BeautifulSoup, Selenium, Pandas, Regex
Want accurate leads collected legally and delivered cleanly?
Choose the right tier and let’s get started.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 7 days |
Number of Pages Mined/Scraped | 10 | 20 | 50 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
(+ 1 Day)
+$10
Additional Revision
+$25Frequently asked questions
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NC
Nicolas C.
Jul 29, 2025
Research & Scrape EV Charger Location Data in Europe
Can only recommend Muhammad. He delivered top notch data and it wasn't easy to get. Will work with him again for sure.
About Muhammad
Web Scraping Expert | Python Automation and Data Extraction
Sahiwal, Pakistan - 9:00 am local time
I build custom Python-based data extraction and automation systems that convert public web and API data into clean, structured, and analysis-ready datasets for business use in CSV, Excel, JSON, or database formats.
Every solution is engineered specifically for the target source. No generic tools. No prebuilt scrapers.
What I Do
I help businesses with:
• Custom Python data extraction from websites, APIs, and directories
• E-commerce, real estate, and B2B data collection systems
• Lead generation and structured prospect list building
• API-based data extraction and integration workflows
• Data cleaning, transformation, and normalization pipelines
• Automated and scheduled data extraction systems
How I Work
• I analyze your target source and data structure
• I design a custom Python-based extraction system
• I extract only publicly available data
• I clean, validate, and structure the dataset
• I deliver in CSV, Excel, JSON, or database format
No shortcuts. No generic tools. Every solution is purpose-built for your data source.
Output You Get
• Clean, structured, analysis-ready datasets
• Duplicate-free and validated data
• CRM-ready or reporting-ready formats
• Optional automation for recurring data updates
• Clear documentation when required
Core Technical Skills
Python, Scrapy, Selenium, Playwright, BeautifulSoup, Requests
Pandas, NumPy, XPath, JSON, REST APIs
PostgreSQL, MySQL, MongoDB
Excel, Google Sheets automation
Data cleaning, transformation, ETL workflows
Selected Project Experience
Built Python-based web scraping systems using XPath, DOM parsing, Scrapy, and BeautifulSoup for structured data extraction across complex websites.
Developed automation workflows for JavaScript-heavy websites, including login sessions, cookie handling, and dynamic content rendering.
Built custom scraping systems for e-commerce platforms, extracting product data, including pricing, inventory, and reviews.
Delivered structured, analysis-ready datasets in CSV, Excel, JSON, and database formats with full validation and normalization.
Worked on large-scale data extraction projects involving infinite scroll pages, protected endpoints, and multi-layer navigation structures.
Closing Statement
If you need reliable data extraction or automation systems, share your source and required fields. I will design a clear technical approach before development begins.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Client Sends Requirements
The client selects a package and provides details: target platforms (e.g. Google Maps, Justdial), niche/industry, location(s), and desired data fields.
Review & Confirm Scope
I review the request to confirm feasibility, clarify filters (if needed), and lock in final deliverables.