Healthcare Product Data Scraping

@gowthamsarathy

Hello, For a catalogue covering Medicine, Ayurvedic, OTC, FMCG, and Surgical products, completeness and data accuracy are more important than simply running a scraper. I’d build the extraction process so every publicly listed SKU is captured, normalized, deduplicated, and tied back to its source page. Here's how exactly I am going to build it: I'll identify the target sources and their catalogue structures, then use Python with Requests/BeautifulSoup or Scrapy for standard pages and Selenium/Playwright only where JavaScript rendering is required. I'll extract product name, SKU/pack information, description, brand/manufacturer, selling price, MRP, discount, availability, category, and source URL where available. I'll normalize prices and text, handle pagination/infinite scroll and variant products, detect duplicates, and add validation checks for missing or inconsistent fields. The scraper will be modular so you can rerun it later and update the catalogue without rebuilding the entire workflow. Relevant Work: https://www.freelancer.in/projects/beautifulsoup/Maritime-Job-Board-Scraping https://www.freelancer.in/projects/beautifulsoup/Python-Meetup-Events-Scraper Kind regards, Gowtham

@nexvative

Hi, I can build a reliable, repeatable product-data scraping pipeline for Medicine, Ayurvedic, OTC, FMCG, and Surgical products, with a strong focus on SKU completeness, accuracy, and clean database-ready output. My approach: • Python + Scrapy/BeautifulSoup for scalable extraction, with Playwright/Selenium where sites require JavaScript rendering • Crawl category pages, pagination, search results, and product detail pages to maximize SKU coverage • Extract product name, pack size, description, brand, manufacturer, selling price, MRP, discounts, and live stock status • Normalize inconsistent fields, pricing formats, units, and text • Deduplicate products using stable identifiers/URLs plus normalized product attributes • Preserve source URL and scrape timestamp for verification and future runs • Add retry, timeout, rate-limit handling, logging, and failure reporting • Build the scraper modularly so additional websites/categories can be added without rewriting the pipeline Deliverables: 1. Complete CSV/XLSX dataset 2. Clean, well-commented Python scraper 3. Configuration for target sites/categories 4. README with setup and repeat-run instructions 5. Sample validation report showing extracted counts and spot-check results

@mdabu38

I can accurately scrape the complete Medicine, Ayurvedic, OTC, FMCG, and Surgical product data from your target websites and deliver it in a clean, database-ready CSV/Excel format. I will cover all categories, pagination, and product pages to ensure no SKU is missed, while capturing name, pack size, description, brand, manufacturer, selling price, MRP, discount, stock status, and product URL. I’ll also handle duplicates and validate the extracted data against the source. I can use Python with Requests/BeautifulSoup, Scrapy, Selenium or Playwright depending on the website structure, and will provide a well-commented, reusable script/notebook for future crawls. I’m ready to start with a small sample first to confirm the data structure and accuracy before completing the full extraction.

@alluankit01

Hi, I can scrape and structure Medicine, Ayurvedic, OTC, FMCG, and Surgical product data from approved reliable online sources into a clean CSV/Excel file with a reusable script. The best solution is to first confirm the target websites, product categories, required fields, output format, and whether those sites allow automated data extraction. Then I’ll build a Python scraper using Scrapy/BeautifulSoup/Selenium where needed, capture product name, pack size, description, brand/manufacturer, selling price, MRP, discount, stock status, and SKU/category details, while handling duplicates and missing fields properly. I’m comfortable with Python web scraping, BeautifulSoup, Scrapy, Selenium, data mining, product catalogue extraction, healthcare/OTC product data, CSV/Excel formatting, duplicate cleanup, price/stock capture, logging, and reusable crawl scripts. Deliverables will include: * Product data CSV/Excel file * Medicine/Ayurvedic/OTC/FMCG/Surgical categories * Name, pack size, brand/manufacturer * Description, MRP, price, discount * Stock availability * Duplicate handling * Clean structured database-ready format * Well-commented reusable scraper * Basic run instructions * Spot-check support I’ll focus on accurate, repeatable, and clean extraction from permitted public sources so the final dataset is easy to import and verify. Best regards Ankit

@briskbrain

Hello Client, As a seasoned developer with over 14 years in the industry, I possess the necessary skills and experience to effectively scrape and deliver healthcare product data in the structured format you require. My proficiency in Python, especially when paired with BeautifulSoup, Scrapy, and Selenium, ensures accurate data extraction while handling duplicates efficiently. I am looking for a long term relationship and ongoing work. I am looking forward to working with you! Regards, Manish

@thiagofoz87

Your requirement goes beyond a simple scraper because the main challenge is maintaining data consistency across multiple healthcare product categories while preserving accurate pricing, stock, manufacturer, and SKU-level details. I can build a repeatable extraction pipeline that collects and normalizes the product catalog into a structured CSV/Excel dataset ready for database import. My approach would be: - Analyze the target websites structure and identify pagination, dynamic loading, anti-bot behavior, and product detail patterns - Build a reliable scraper using Python (Scrapy + Selenium when needed for dynamic content) - Extract complete product attributes including product name, category, pack size, manufacturer, pricing, MRP, discount, availability, and descriptions - Implement duplicate detection and validation checks to reduce inconsistent records - Deliver both the exported dataset and the fully documented source code so the scraping process can be executed again on demand I also pay attention to long-running crawl stability, retry handling, and clean output formatting to avoid import issues later. Before starting, I would only need the list of target websites and an estimate of expected catalog size so I can optimize the scraping strategy and delivery timeline accordingly.

@MrDeaDpool707

Hello, reviewed your project. I have strong experience with Python web scraping using Requests, BeautifulSoup, Selenium, Scrapy, and pandas. I can collect complete Medicine, Ayurvedic, OTC, FMCG, and Surgical product data, including SKU/name, pack size, description, brand, manufacturer, price, MRP, discount, and stock status. I’ll handle pagination, dynamic content, duplicates, and validation carefully, then deliver a clean CSV/Excel file along with well-commented, reusable scraping code so the process can be repeated whenever required. Accuracy and complete SKU coverage will be my priority.

@WebcoderSaurabh

Hi, I can build a Python scraping pipeline (Scrapy/Requests + BeautifulSoup, Playwright where pages are JS-heavy) that captures complete product details for Medicine, Ayurvedic, OTC, FMCG and Surgical items from reliable public sources: name, brand/manufacturer, pack size, composition/salt, description, category, MRP, images and any other visible datapoints — cleaned, de-duplicated and normalized into a consistent schema. Delivery format: CSV/Excel/JSON or a direct MySQL import file matching your database columns — your choice. The scraper handles pagination, retries, rate-limiting and logging, and I'll hand over the documented source code so you can re-run it for updates anytime. I'm a full-stack Python developer on Freelancer since 2017 (4.9 stars, 87 reviews, 96% on-time) with prior scraping + data-pipeline projects. Could you share 2-3 example source sites and a sample of your database schema? I'll map fields and share a small sample extract for approval before running the full capture.

@mussaibb7

Based on your healthcare product data scraping requirements, I'd like to focus on building a robust backend flow that integrates APIs seamlessly. The real challenge here lies in architecting a system that can handle deployment reliability, error handling, and maintainability under real-world conditions. My expertise in Python, Web Scraping, and Software Architecture will ensure that your data scraping pipeline stays clean and efficient. I've successfully delivered similar projects through Jarvis AI - Personal Automation Assistant, which demonstrates my ability to orchestrate complex workflows and deploy production-grade APIs. For instance, I built Jarvis AI to handle 30+ automated workflows across scraping, system actions, and API-driven automation, and deployed a multi-client ML inference API with sub-200ms latency.

@ujjwalmahar01

Hi, I can build a reliable, repeatable product data extraction system for Medicine, Ayurvedic, OTC, FMCG, and Surgical products, capturing complete SKU-level information from your target websites. I’ll extract fields including **product name, brand, manufacturer, pack size, description, selling price, MRP, discount, stock availability, and other publicly displayed product details**. The crawler will be designed to systematically cover the available catalog and avoid missing SKUs. I can use **Python with Scrapy/BeautifulSoup/Selenium** or the most suitable approach based on each target site's structure. I’ll also implement pagination/category handling, duplicate detection, data normalization, error handling, and validation to ensure clean and consistent output. You’ll receive: * Complete **CSV/Excel dataset** * Well-commented, reusable scraping script/notebook * Clean and database-ready structured data * Duplicate handling and normalization * Repeatable crawl workflow for future runs I’ll also account for dynamic pages and JavaScript-rendered pricing/stock data where required, while respecting applicable site access restrictions. The goal is a robust extraction pipeline that you can re-run whenever needed and validate against the live source data.

@Geetam00

As a seasoned AI and full-stack developer, I bring a unique skill set to the table that few freelancers can match. My proficiency in Python, especially with BeautifulSoup, Scrapy, and Selenium, makes me perfectly suited for your data scraping project. Trust me to wrangle the product details you need—name, pack size, descriptions, pricing, stock availability—from various online sources into a structured dataset you can import seamlessly into your database. What sets me apart is my commitment to end-to-end product development. This means I don't just provide you with the final results but also arm you with a well-commented script or notebook for self-repeated crawls should the need arise. Furthermore, Fayette; I ensure that duplicates are handled meticulously and the extraction process is ultimately reliable by incorporating thorough spot-checking and validation measures in my work. Lastly, let's not underestimate the power of clear communication and reliable delivery, which are often underrated yet supremely important aspects of any collaboration. My track record attests to my dedication to these ideals.

@citysceneglobal

Hi, I can build a reliable, repeatable product-data extraction pipeline for Medicine, Ayurvedic, OTC, FMCG, and Surgical products. I’ll use Python with Scrapy/BeautifulSoup/Selenium as appropriate to handle dynamic pages, pagination, and structured product data while minimizing missed SKUs. The crawler can capture product name, pack size, description, brand/manufacturer, selling price, MRP, discount, stock status, product URL, and other publicly displayed fields. I’ll include deduplication, validation, logging, retry handling, and configurable source/site settings so the process can be rerun when required. You’ll receive a clean CSV/Excel dataset plus well-commented, reusable source code/notebook with setup and execution instructions. I’ll also include a validation summary so you can compare product counts and spot-check price/stock accuracy against the source at scrape time. Please share the target websites and expected SKU volume so I can provide a precise timeline and quote.

@rajeshrolen

Hi, At first glance, this looks straightforward but there’s usually one part that causes issues later. Happy to share a quick plan if you're open to it. Regards, Rajesh

@daltons32

Full Free Service for My First Client!!! I just started my career on Freelancer and do not have any reviews yet, so I would like to offer my first client a completely free service to build my reputation and establish a long-term relationship. I can build a reliable and repeatable Python-based scraping solution for Medicine, Ayurvedic, OTC, FMCG, and Surgical products. I can extract and structure: * Product name and pack size * Description * Brand and manufacturer * Selling price and MRP * Discount * Stock availability * Product/SKU information I can use Scrapy and BeautifulSoup, with Selenium when JavaScript-rendered content requires it. I will handle pagination, duplicate detection, missing data, request errors, and structured output. My focus will be on completeness and accuracy. I can implement validation checks to compare extracted product counts and fields against the source pages and make the scraper repeatable for future runs. Deliverables will include: * Clean CSV or Excel dataset * Well-commented Python scraper * Clear instructions for running the scraper again I have strong Python, backend, data processing, automation, and web development experience, and I will focus on building a maintainable solution rather than a one-time extraction script. I would be happy to discuss the target websites and required fields. Thanks!

@sasiprabhak

Hi, I can help build a Python-based product data extraction solution that collects publicly available product details into a clean CSV/Excel dataset. I can structure fields such as product name, pack size, description, brand/manufacturer, price, MRP, discount and stock availability, while handling pagination, duplicates and data cleaning. I can provide a well-commented Python script/notebook so the process can be repeated. I will also validate the extracted data against the target pages and clearly communicate any site-specific limitations. I can start immediately.

@syedalihasnat929

Hello, I can build a reliable, repeatable Python scraping pipeline that collects the required healthcare and FMCG product information into a clean, database-ready dataset. I understand that accuracy and completeness are the main requirements, especially matching the product count, current price, MRP/discount, and stock status shown on the target websites. My approach will include: • Python-based scraping using Scrapy/BeautifulSoup, with Selenium only where JavaScript rendering is required • Extraction of product name, pack size, description, brand, manufacturer, price, MRP, discount and availability • Pagination/category traversal to capture all available SKUs • Duplicate detection and consistent data normalization • Robust handling of missing fields and changing page structures • CSV/Excel output with clean column structure • Reusable, well-commented scraper with configuration separated from the core logic • Logging and error handling so failed pages can be identified and reprocessed • A README explaining setup, execution and how to run future crawls I can first validate the scraper against a sample of products and then scale it to the complete dataset. Best regards, Syed Ali AI Engineer

@vijayp613

Hi, I can do this scraping work in Python. I have experience working with Python and web-based data extraction, and I can build a scraper that collects product name, brand, pack size, description, price, MRP, discount and stock availability in a clean format. I can use BeautifulSoup, Scrapy or Selenium depending on how the target websites are built. I’ll also handle pagination, duplicate products and dynamic data so the scraper can be run again when you need updated data. I’ll provide the final CSV/Excel file along with the clean and commented Python script so you can run it again later. I can start right away. Thanks

@innoforgetech

Every SKU across medicines, ayurvedic, OTC, FMCG, and surgicals, that's a large crawl where page layouts shift between categories and prices change between runs. Dedup logic needs to catch the same product listed with slightly different names or pack formats across sections. Built a Reddit-to-Telegram monitoring workflow in n8n that crawls, filters, and delivers structured data in real time. Workflow documentation available on request. Swapping API calls for HTML selectors is the main pipeline difference here. What this covers: - Scraper per source site with category-specific selectors and retry logic for dynamically loaded pricing - Dedup normalizing product names, brands, and pack sizes across categories - CSV and Excel output with full schema: name, brand, manufacturer, pack size, description, price, MRP, discount, stock - Commented Python scripts (Scrapy or Selenium) you can extend with new sources without rewriting core logic With five product categories, start with one source site and full coverage so you can validate data against live pages. More sources become follow-on milestones from there. Share the target sites and I'll have an extraction plan within a day. Best regards, Mohammad Juned

@mikes126

Hi there, let's have short meeting if you wanna discuss the target sites and scraping flow. I can build a reliable Python scraper using Scrapy/BeautifulSoup or Selenium based on the site structure. I’ll capture Medicine, Ayurvedic, OTC, FMCG and Surgical SKUs with name, pack size, description, brand/manufacturer, selling price, MRP, discount and live stock status. I’ll also handle pagination, dynamic pages, duplicate products, retries and clean structured output so the data is ready for DB import. The scraper will be well-commented and reusable, with CSV/Excel output included. I can first test a few categories and share sample results for validation, then complete the full crawl. Budget: $120 Timeline: 5 days