Builder and technical founder turning years of web-data and scraping experience into practical B2B tools.

github

Nabeeha Khan • Peerlist

I built <a target="_blank" rel="noopener noreferrer nofollow ugc" class="break-all link-break text-gray-500 hover:underline" href="http://B2BProspects.io">B2BProspects.io</a> because I got tired of fighting websites for their data.For years, I've worked with web scraping, lead generation, and data extraction. I kept running into the same problem: the data was there, but getting it into a usable format often meant writing a custom scraper for every website.The idea really took shape while working with eXp Realty. I was using Instant Data Scraper and kept thinking: “I wish there was a tool that could actually handle this properly.”I couldn't find the tool I needed.So I built it.<a target="_blank" rel="noopener noreferrer nofollow ugc" class="break-all link-break text-gray-500 hover:underline" href="http://B2BProspects.io">B2BProspects.io</a> is a Chrome extension designed to extract structured business data from websites and turn it into usable CSV data.🚀 Try the Chrome extension: <a target="_blank" rel="noopener noreferrer nofollow ugc" class="break-all link-break text-gray-500 hover:underline" href="https://chromewebstore.google.com/detail/b2bprospectsio-intelligen/mnpdkbcgcdhegdmcjgfeiidcdmdfjkcg">https://chromewebstore.google.com/detail/b2bprospectsio-intelligen/mnpdkbcgcdhegdmcjgfeiidcdmdfjkcg</a>It's still early, and I'm actively improving it based on real-world use. If you work with B2B data, lead generation, web research, or scraping, I'd genuinely love your feedback.What website gives you the biggest headache when you're trying to collect its data?Brutal feedback is welcome. Tell me what works, what doesn't, and what you'd change.

B2BProspects.io

Retrieved data through many techniques For Example 1) Data.gov 2) Wikipedia and 3) Inspecting a page to get data , While Analyzed, Cleaned and documented Data for Analyses using Excel

Analyzing Census report on Chinese Education 

Insufficient data employee turnover Lack of participation from call center representatives Low conversion Rates Execute an off-hours call schedule Implementing an AI chatbot Set-up a customer feedback system

Call center Marketing risks and solutions

Currently, Working on big data using SQL and R

Health Report 2020-2021

As a seasoned data analyst, I specialize in harnessing the power of Python to seamlessly merge CSV/Excel files, transforming raw data into actionable insights

Merging csv/excel files using python

After Analyzing through Excel, used Tableau cloud and Public for Visualizing data

Visualizing census report through visualizing

I scraped many real estate websites using python programming language which includes data mining, and data extraction moreover I was able to add an update and save code in the script which would automatically update after every 24 hours