Abhiram Kannuri's avatar
Abhiram Kannuri
PRONormanton, UK
Python Expert: Web Scraping & Automation | Lead Data Analyst
1x
Hired
5.0
Rating
8
Followers
Cover image for Real-Time Stock Market Data Scraper
Real-Time Stock Market Data Scraper
0
17
Cover image for Job Board Data Scraping
Job Board Data Scraping
1
18
Cover image for Flight Price Tracker
Flight Price Tracker
1
11
Cover image for CRM and Email Marketing Automation Script
CRM and Email Marketing Automation Script
0
9
BeautifulSoup(5)
Sushil Bhandari's avatar
Sushil Bhandari
Lalitpur, Nepal
Data Scraping Pro: Python, FastAPI, Flask, Django
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sushil-rgb/AmazonBuddy
0
4
Cover image for sushil-rgb/YellowPage-scraper
sushil-rgb/YellowPage-scraper
0
2
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sushil-rgb/AmazonMe
0
1
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BeautifulSoup(3)
Aayush Palai's avatar
Aayush Palai
PROSan Jose, USA
freelancer building what you want, how you want
$10k+
Earned
64x
Hired
5.0
Rating
13
Followers
REPLIT_EXPERT

Expert

Cover image for Airbnb Coordinates Scraper Development
Airbnb Coordinates Scraper Development
3
54
Cover image for TastyComms / Tracker
TastyComms / Tracker
1
55
Cover image for AR Glasses with ChatGPT / Video integration.
AR Glasses with ChatGPT / Video integration.
1
78
Cover image for WorldGuessr Mobile App Development
WorldGuessr Mobile App Development
3
63
BeautifulSoup(1)
Victory Nnaji's avatar
Victory Nnaji
Lagos, Nigeria
Expert in Data, AI, Backend, & APIs, driving great solutions
5.0
Rating
3
Followers
Cover image for COVID-19 Dashboard for Berlin City
COVID-19 Dashboard for Berlin City
0
13
Cover image for Netflix Recommender System
Netflix Recommender System
1
15
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Case Radar
1
10
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BeautifulSoup(1)
Mamadou Diao Bah's avatar
Mamadou Diao Bah
Labé, Guinea
Python Web Scraper & Automation Specialist for SaaS and DT
New to Contra
Cover image for Stop Guessing. Start Scaling. Many B2B companies rely on col...
Stop Guessing. Start Scaling. Many B2B companies rely on cold lists that are often outdated or incomplete. My client needed high-quality leads for a specific niche (Series A funded SaaS in Europe). The Solution: I built an automation stack that scrapes public company data (funding, tech stack, key personnel) and cross-references it with LinkedIn/other public sources for accurate contact details. The Impact: Lead qualification time dropped from 3 hours per prospect to 15 minutes, resulting in a 40% increase in sales meetings within the first quarter. This isn't just data; it's sales velocity. Ready to turn public data into private revenue? Let's connect.
1
2
21
Cover image for Automated Candidate Email Sorting for HR Teams
Automated Candidate Email Sorting for HR Teams
0
0
Cover image for Automated YouTube Email Extraction (Excel → CSV)
Automated YouTube Email Extraction (Excel → CSV)
1
0
Cover image for Price Comparison Scraper for Amazon & Boulanger
Price Comparison Scraper for Amazon & Boulanger
1
0
BeautifulSoup(4)
Ajagun Samuel's avatar
Ajagun Samuel
Ibadan, Nigeria
Data Scientist | ML Engineer | AI & Data Automation Expert
5.0
Rating
2
Followers
Cover image for I developed a data analysis project that scrapes agricultura...
I developed a data analysis project that scrapes agricultural listings from Jiji.ng (http://Jiji.ng) to uncover pricing patterns, product trends, and regional market insights. Using Python, Pandas, NumPy, BeautifulSoup, Requests, and Plotly, I built a multi-page Streamlit app with interactive visualizations and summary statistics. Check out the live app here (https://jiji-agriculture-foodstuff-233.streamlit.app/) and the code on GitHub here (https://github.com/Netlution/Jiji-Agriculture-Foodstuff.git). I want to share my web scraping, data analysis, and visualization skills to help others turn raw data into actionable insights.
1
14
Cover image for 🧠 Customer Churn and Value Prediction with Machine Learning...
🧠 Customer Churn and Value Prediction with Machine Learning I built a Streamlit app (https://customa-churn-prediction-model.streamlit.app/) that predicts customer churn and estimates customer value using telecom data. The app uses a Random Forest model trained on features like call failures, complaints, SMS frequency, and subscription length to help businesses spot at-risk and high-value customers. Developed with Scikit-learn, Pandas, Matplotlib, and Streamlit, it turns customer data into actionable insights for better retention and decision-making. Try the live app (https://customa-churn-prediction-model.streamlit.app/) or explore the GitHub repo (https://github.com/Netlution/Customer-Churn-Prediction-App). #DataScience #MachineLearning #Streamlit #Python #CustomerChurn #AI #CustomerRetention #RandomForest
0
29
Cover image for Love & Logic Kajabi Platform Development
Love & Logic Kajabi Platform Development
0
0
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BeautifulSoup(1)