Extract Product Reviews from Flipkart -- 2

@justmian876

My name is Sami and I am the leader of a dynamic and experienced team at BN-Droids Digital Services. With over five years in the industry, we have gained an exceptional level of proficiency in many aspects of web development, including Python - the language that you need for this project, as well as data manipulation which will help to organize your extracted Flipkart reviews into a python dataframe. Web scraping is our forte! Our skilled team can navigate through various website structures effortlessly. As proof of our capabilities, we already maintain a massive database consisting of over 20 million retail data points from different countries. With these experiences, we can surely retrieve and extract the reviewer's name, rating, and review text from Flipkart while ensuring that sentiment analysis is integrated into the data to provide deeper insights. As a detail-oriented freelancer and team, I'm committed to ensuring your satisfaction by meeting all your project requirements. Let's collaborate on this task and leverage my skills in Web Scraping, Data Analysis, Data Collection, Data Extraction, Data Mining, Python, among others to get you your desired end product in the timeframe you require. Remember, picking us means selecting quality and professionalism for your project. Looking forward to discussing details about it further!

@jinufeb14

With my extensive experience in data manipulation, scraping, and analysis using Python, I am confident I can successfully extract the product reviews data you need from Flipkart. Being ranked among the top 1% on this platform is a testament to my exceptional proficiency in various tasks including data collection and extraction which are both critical for this project. Having a background in cloud technology has equipped me with unique insights into how to make processes more scalable and efficient. With this, I can ensure that the extracted data will be neatly organized in a Python dataframe format, making it easy for you to analyze and implement the sentiment analysis part. Moreover, I'm well familiarised with the structure of Flipkart's website; thusso, I'll be your ace in the hole. Plus you get an Virtual assistant who can handle non-technical and technical works effectively.I'm eager to apply my skills to enhance your project outcome and handover high quality deliverables within time because as an experienced person I know - Time is Money! I look forward to discussing future strategies with you!

@mattafareed4848

Hello I have experience scraping e-commerce platforms using Python (BeautifulSoup/Selenium) and organizing data into clean Pandas dataframes. I will extract reviewer name, rating, and review text, structure everything in a Python dataframe, and perform sentiment analysis using NLP libraries like TextBlob or VADER, delivering clean, well-documented code. Regards Muhammad

@kchoudhary95

As a seasoned Full-Stack Web Developer with over 7 years of experience, I understand the intricacies of web scraping and data manipulation. Python is one of my core languages, regularly utilized to build automation tools and extract large amounts of data proficiently. Having deep knowledge of Flipkart's website structure, I can assure you that I will meticulously extract all the necessary details from the product reviews, including reviewer name, review rating, and the review itself. A Python dataframe will serve as the ideal format to organize and present this information in a meaningful way. Moreover, incorporating sentiment analysis into the extracted data adds value to your project, and fortunately, that's an area I'm well-acquainted with too. Not only am I capable of extracting reviews quickly and effectively but also enriching them through sentiment analysis for better comprehension and decision-making. Let's join forces to extract invaluable insights from Flipkart!

@yuanzhi5

Extracting structured review data from Flipkart into a clean Python dataframe requires a robust approach to handle pagination, dynamic content, and consistent data formatting. The core challenge is ensuring the scraper is reliable and the resulting dataframe is immediately usable for your analysis, which is precisely what your project description targets. Based on this focused scope, I can deliver a complete, well-documented Python script that programmatically extracts the specified reviews and outputs them into a structured Pandas DataFrame. My implementation plan would prioritize clean, maintainable code with error handling for a smooth delivery. For this well-defined task, a budget of 120.0 INR is appropriate, covering the development, testing, and delivery of the working script with sample output. To ensure the solution fits your workflow perfectly, could you specify the key fields you need captured from each review, such as rating, date, and comment text? This will help me tailor the dataframe structure to your exact needs from the start.

@AfaqBadshah

Dear Client, I am keen to assist with your project to extract product reviews from Flipkart and deliver them in a structured Python dataframe, including sentiment analysis. With strong expertise in Python web scraping using libraries such as BeautifulSoup and Selenium, I have extensive experience navigating dynamic website structures like Flipkart's to accurately retrieve detailed data. I will extract reviewer names, ratings, and review texts efficiently while ensuring data integrity and cleanliness. Subsequently, I will perform sentiment analysis on the reviews leveraging Python’s natural language processing tools to provide insightful sentiment classification. The final deliverable will be a well-organized pandas dataframe, ready for your use in further analysis or reporting. My background as a Data Analyst and Automation Specialist equips me to deliver precise, error-free datasets with clear formatting and documented code for seamless integration. I prioritize punctual delivery and open communication throughout the engagement. I look forward to contributing to the success of your project. Best regards, Afaq

@Jafferi12

Flipkart constantly changes its site structure to block basic scrapers and hide reviews. I know exactly how to bypass their anti bot systems to extract clean data without getting blocked. I will run a quick test scrape on your target product and send you a simple word document sample right away so you can see the data quality. Then I will pull all the reviewer names ratings and text into a neat Python dataframe and run the sentiment analysis. Since I build the scraper and write the sentiment logic you will not need to hire another freelancer to process the data. Send me the product link so we can grab the first batch of reviews today.

@Hemantt841

I understand you require extraction of product reviews from Flipkart, including reviewer names, ratings, and review texts, all organized into a Python dataframe with sentiment analysis applied. Your focus on structured data and sentiment insights highlights the need for precise scraping and data handling. With over 15 years of experience and more than 200 projects completed, I specialize in Python-driven web scraping and API integration. My expertise covers data extraction, manipulation with Pandas, and applying sentiment analysis to e-commerce data, making me well-suited for this task involving Flipkart’s site structure. I will build a Python scraper using BeautifulSoup and requests to efficiently gather the required review details. The data will be cleaned and stored in a Pandas dataframe, followed by sentiment analysis using a Python library like TextBlob or Vader. I estimate completing this within 3 to 4 days, ensuring accuracy and clear organization. Feel free to reach out so we can discuss your exact needs and get started promptly.

@SwarajB2107

heey , i can do these task very efficiently for you , my previous freelancing task was the same to scrap a website . I am also good in python and its libraries (pandas,numpy,beautifulsoup,selenium,etc ) needed in these task , as i am a ML developer and also learning deep learning so i have hands on experience on working with python and its libraries . I can also handle dynamic loading using Selenium if needed. I will deliever you the proper pandas dataframe , with all the attributes u mentioned . Thank You . Looking forward to work with you .

@lokdeshwark

With my extensive experience in Python and data manipulation, I am confident that I can extract the product reviews you need from Flipkart and organize the data in a Python dataframe to meet your requirements. As an expert in web scraping, I am well-versed with Flipkart's website structure and can efficiently extract the needed details like reviewer name, review rating, and review text. Additionally, my proficiency in Sentiment Analysis will allow me to deliver meaningful insights on consumer sentiment from the reviews. Beyond just these technical skills, I offer a holistic approach to your project. Your business needs someone with diverse skills who can address its various challenges. And, that's exactly what I bring to the table. Besides data analysis and extraction, I have versatile competency sets including software development, cloud computing, SEO-driven marketing, and even legal research that could be an asset if necessary. To ensure a seamless process, my approach emphasizes clear communication and realistic timelines – qualities that are indispensable for the success of any project. With me on your team, you’ll be working with a detail-oriented professional who delivers clean, scalable outputs to help you achieve your digital goals. Let’s turn your ideas into actionable results for your business!

@ssldevmaster

Hi, I can easily DO your work IN 24 HOURS, DM me now to get started, PRICE NEGOTIABLE 100% Work satisfaction is provided

@Sahilsuriya

Hello, I can extract product reviews from Flipkart and deliver them in a clean, structured Python dataframe with sentiment analysis included. Using Python (BeautifulSoup/Selenium where required), I will scrape: • Reviewer Name • Review Rating • Review Text The collected data will be organized into a pandas dataframe and delivered in .csv/.xlsx format if needed. For sentiment analysis, I can apply either: • A rule-based approach (TextBlob/VADER) for quick polarity scoring, or • A more accurate ML-based model depending on your preference. The final dataframe will include an additional sentiment column (Positive/Neutral/Negative + score). I ensure clean extraction, proper handling of pagination, and structured formatting so the dataset is analysis-ready. If required, I can also provide the scraping script for reproducibility. Please let me know: • Number of products • Approximate number of reviews needed I can start immediately and deliver within a few days. Looking forward to working with you.

@Parshant749

Hello, I am excited to apply for your project. I have strong experience in **Python, web scraping, data extraction, and sentiment analysis**, and I can efficiently collect and organize Flipkart product reviews into a clean Python dataframe as per your requirements. I will extract the following details accurately: • Reviewer Name • Review Rating • Review Text The collected data will be structured into a **well-organized Python dataframe (Pandas)**, making it easy for you to analyze or use further. Additionally, I will perform **sentiment analysis** on the reviews (Positive, Negative, Neutral) using reliable NLP techniques and include the sentiment results as an additional column in the dataframe. You will receive: • Clean Python script (if required) • Final dataframe file (CSV / Excel / Pickle as preferred) • Accurate and validated data • Proper documentation for usage I focus on accuracy, efficiency, and clear communication, and I am confident I can deliver high-quality results within your timeline. I am ready to start immediately and can also provide a sample before beginning the full project. Thank you for your time and consideration. I look forward to working with you. Best regards, PRIYANSHU

@rohit200296

i am definitely doing this so tell me how many products are listed assuming from i say 1000 per product i can do

@Sidharrth

I can extract product reviews from Flipkart and organize the data into a structured Python dataframe including reviewer name, rating, review text, and sentiment analysis results. I have experience using Python, BeautifulSoup/Requests (or Selenium if needed), and Pandas for structured data extraction and cleaning. I will ensure the dataset is clean, properly formatted, and ready for analysis. Sentiment analysis can be implemented using libraries such as TextBlob or VADER depending on your requirement. Deliverables will include: • Clean Python script • Structured Pandas dataframe (CSV or Excel if required) • Sentiment analysis results • Clear documentation for reuse

@Ash11211

Hi, I am a Senior MIS Executive with 3+ years of experience in Google Sheets automation, advanced formulas, and interactive dashboard creation. I specialize in converting raw data into automated reports and real-time dashboards that help businesses track performance and make better decisions. I can automate complex processes, reduce manual work, and build clean, user-friendly reporting systems that save time and improve efficiency. I would be happy to help streamline your data and create a powerful reporting solution for your business.

@Rishil04

Hello, I'm Rishil, a Python automation specialist with web scraping and data processing experience. I understand you need Flipkart product reviews scraped including reviewer name, rating, review text, delivered as a pandas dataframe with sentiment analysis. I have Python experience with web scraping (BeautifulSoup/Selenium), pandas dataframe manipulation, and data extraction workflows. I've built similar scraping systems for structured data collection. My approach: build Python scraper extracting Flipkart reviews (name, rating, text), handle pagination and dynamic loading, structure data in pandas dataframe, implement sentiment analysis (positive/negative/neutral classification using NLTK or similar), include error handling for blocked requests, and deliver clean, runnable script with output CSV. Includes Python script, sample output dataframe, and documentation. Ready to start immediately. Best regards, Rishil

@jazzyhuang

I can build a scraper that extracts Flipkart reviews into a clean dataframe with sentiment scores. The challenge is handling their dynamic content and rate limits properly. My approach uses BeautifulSoup with requests for extraction. Pandas structures the data. TextBlob handles sentiment analysis on review text. You'll get reviewer names, ratings, review content, and sentiment polarity scores. Delivered as a Python script with documented dataframe output. ₹2500, 4 days.

@alirezatd80

Hello, I am an experienced Python developer specializing in web scraping, data extraction, and automation. I can efficiently scrape the required data and deliver clean, well-structured results in your preferred format (Excel, CSV, or database). I use professional tools such as Python, BeautifulSoup, Selenium, and Playwright to ensure accurate and reliable data extraction, even from dynamic websites. I focus on clean code, fast delivery, and high-quality results. I can start immediately and complete your project within the required timeframe. Looking forward to working with you. Best regards, Ali