Jayant Sao
Python Expert for Web Scraping & Product Uploads
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AI Craigslist Scraper & Outreach Automation
I developed a custom Craigslist automation software (.exe) for a real client to automate lead generation, email outreach, and CRM integration into a fully streamlined workflow.
This solution was built to save time, increase outreach efficiency, and manage leads automatically without manual effort.
🔹 Project Workflow:
• User inputs a Craigslist search listing URL
• The software automatically scrapes all listing links
• Each listing is opened one by one to extract email addresses
• Listing details such as Title, Description, and Address are collected
• Data is processed using the OpenAI API to generate personalized emails
• Contacts are automatically created in Go High Level (GHL) CRM
• Emails are sent using GHL SMTP
• Email tracking and reply handling are managed inside GHL
🔹 Key Features:
✔ Craigslist listing scraping automation
✔ Email extraction from listings
✔ AI-powered personalized email generation
✔ Go High Level CRM integration
✔ SMTP-based automated email sending
✔ Email tracking and reply management
✔ Standalone Windows (.exe) software
✔ Built for real-world business automation
🔹 Project Type:
Custom-built automation software developed for a real client to automate large-scale outreach and lead management.
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Bulk Product Uploading with Product Scraping
In this project, I helped a UAE-based client migrate 10,000+ products from their Noon store to their newly created Shopify website lulucamel.ae (http://lulucamel.ae). The client wanted to shift their product sales from Noon to their own independent online store while maintaining accurate product data and SEO optimization.
To achieve this, I developed a custom Python scraping script to extract complete product information from Noon, including titles, descriptions, images, prices, categories, and variations. After collecting the data, I converted it into a Shopify-compatible CSV format, ensuring all required fields matched Shopify’s import structure.
Along with automation, I performed manual verification to validate product details, check formatting accuracy, and ensure error-free uploads. I also used ChatGPT API integration to generate SEO-friendly product descriptions and meta descriptions, improving product visibility and search rankings.
Finally, I uploaded and reviewed all products inside Shopify to ensure proper display, accurate data mapping, and smooth functionality.
This project combined automation + manual quality control, delivering fast, accurate, and scalable results, helping the client successfully launch their independent eCommerce store in the UAE.
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Virtual Assistant | Data Entry & Web Scraping
Virtual Assistant | Data Entry & Web Scraping Specialist
Company
Baayo EdTech Pvt. Ltd.
(Online Education & Tutoring Platform)
Duration
2 Years | Full-Time
I worked as a Full-Time Virtual Assistant at Baayo EdTech Pvt. Ltd., an online education and tutoring company, where I handled both Data Entry and Web Scraping tasks with a strong focus on accuracy and data quality.
My responsibilities included:
• Entering educational questions from PDF format into the company’s internal website platform
• Manual data entry and copy-paste work with strict accuracy standards
• Scraping questions from competitor educational platforms for research and content expansion
• Extracting student contact details from multiple online platforms
• Cleaning, organizing, and validating scraped data before final submission
• Uploading and managing large volumes of question data on the company’s proprietary website
• Ensuring error-free, well-formatted, and structured content
This role helped me develop strong expertise in high-accuracy data entry, educational content handling, and ethical web data extraction. I worked closely with internal teams to meet daily targets while maintaining quality and consistency.
As a result, I gained hands-on experience in handling large datasets, competitive research scraping, and platform-based content management, which I now offer professionally to Fiverr clients.
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Google Maps Business Data Scraping Sample
Google Maps Business Data Scraping Sample
This sample shows my ability to scrape publicly visible business data from Google Maps.
For this project, the client only needed business name, address, website, phone number, and zip code, so only these fields were extracted.
If you need additional visible information such as ratings, reviews count, business category, working hours, or map links, I can scrape those as well — based strictly on what is visible on Google Maps.
✔ Public data only
✔ Client-requirement based scraping
✔ Clean, Excel/CSV-ready output
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