Amazon Listing Data Scraper

@Hadiibaba

Hi there, I’ve thoroughly reviewed your project details and am confident I can deliver exactly what you're looking for. I have direct experience with this type of work and can start right away. To show you what I can do, I’d be happy to prepare a quick sample for your review. Let’s connect to discuss the full scope of work so I can provide an accurate project estimate. Best regards, Muhammad Haris

@mattafareed4848

Hello I can accurately collect Amazon listings within your specified price and rating criteria, including title, ASIN, URL, price, rating, reviews, and timestamp. I can provide a clean, duplicate-free CSV/Google Sheet along with a brief, reproducible workflow using Python/Selenium/BeautifulSoup or approved methods. Regards\ Muhammad

@muneeb6767

Hey, this is a straightforward one for me - Amazon listing extraction with price/rating filters is bread-and-butter Python scraping work. I'll build a lightweight script that pulls the required fields (title, ASIN, URL, price, rating, review count, capture timestamp), filters against your price band and rating threshold, and dedupes by ASIN so there's no repeats. Output goes into a clean CSV/Google Sheet, sortable, plus a short note on the method so you can re-run it yourself anytime. Since it's script-based rather than manual, it's naturally repeatable - same filters in, consistent results out, whenever you need a refresh. Quick questions - which Amazon domain are we targeting (.com, .in, etc), and roughly what price range/category are you expecting so I can gauge how many listings we're likely pulling? Once I know the range, I can turn this around fast - happy to share the script logic with you too so it's not a black box on your end.

@danino29

Rating threshold coming after project start means the script needs that as a variable, not hardcoded, so one pull can be re-run once you send the number. I'd script it in Python with requests plus BeautifulSoup, dedupe on ASIN, and stamp each row with capture time, output straight to a CSV you can re-sort. Built scraping pipelines before for government and toll portals, so structuring a repeatable pull like this is familiar. Do you have specific search terms or categories in mind, or should the pull cover the whole price band across Amazon generally?

@soniaashfaq334

Hi, I’m Khush. I can collect accurate Amazon product listings based on your price range and rating criteria, and deliver a clean CSV or Google Sheet with product title, ASIN, URL, price, raating, reeviews, and timestamp. I can use manual research or a reliable Python/Selenium workflow to ensure accurate, duplicate-free results and provide notes on the method used. Ready to start right away.

@albertc1996

Hello. I'm a python programmer and i can make a Django app that reads every product on amazon ( with a specific time and price range ), and you can export this data in any way you need , like the products links on amazon , text data about products in a txt file , pdf..... and this app can run locally on your computer or It could be deployed on a host for cloud access to it.

@tranquilai

Hello, The key here is producing a clean, repeatable Amazon dataset rather than simply collecting search results. Our team can build a lightweight Python workflow using requests/BeautifulSoup where practical, with browser automation only where required, then normalize product data into title, ASIN, URL, price, rating, review count and capture timestamp. Filters for the agreed price range and minimum rating will be applied during collection, with ASIN-based deduplication and validation before delivery. The final CSV/Google Sheet will be easy to sort and re-filter, with a short note explaining the workflow so future pulls can be repeated. Our team works with Python automation, structured data extraction and API-driven workflows, and can adapt the approach based on Amazon's actual response/access behavior. Rate: ₹400/hr | Up to 50 hrs/week Milestone Breakdown Scraper Setup + Filtering: 12 hrs Amazon Data Collection: 20 hrs Validation + Deduplication: 10 hrs CSV/Sheets + Documentation: 8 hrs

@FreeLancers360

Hello, I just finished reading your brief for "Amazon Listing Data Scraper", and I'm genuinely excited about the chance to work on it. I love turning a solid brief like yours into a polished result you’ll be proud to put your name on. From your brief I can see this involves scraping, excel, web scraping — all areas we handle in-house. We specialise in PHP, Python, Excel, Web Scraping, which lines up directly with what you need. How we'd approach it: - Define the exact fields, sources and output format - Build the collection / processing pipeline - Validate accuracy and clean the data - Deliver in your preferred format with a short summary I also noted you don’t need missing core fields and no duplicate ASINs — that’s clear, and I’ll keep the work clean and strictly on-brief. Happy to work hourly with transparent time tracking and regular check-ins. Expect smooth progress updates throughout, full respect for your specifications, and zero surprises along the way. Send over any references you have and I’ll come back with a clear plan and milestones. Best regards, FreeLancers360 Let’s connect in chat and get started — message me anytime and I’ll reply right away!

@Jennycreation

Hello Sir, I have already worked on similar types of website and software development projects and I am confident that I can successfully handle your project. I am a full-time freelancer with **17+ years of experience** in web development, software development, automation, and API integrations. My expertise includes: * ASP.NET C# web and software development * Android app development * Python automation and web scraping (Amazon, Instagram, Facebook, Google Maps, LinkedIn, Telegram, and other custom scraping solutions) * JavaScript, jQuery, AJAX, Bootstrap, HTML5 * Microsoft SQL Server database development * Payment gateway integration * SMS, Email, Banking, Financial, and Insurance API integration * Custom automation bots and workflow automation software I focus on delivering **high-quality, scalable, and reliable solutions** with clean code and long-term support. Please contact me in private chat so we can discuss your requirements in detail. I can also show you a **demo of similar projects** I have completed. Looking forward to working with you. Thanks & Regards

@Sasanka433

I can handle this as a small, repeatable Python data-collection workflow rather than just manually copying Amazon results. I’d collect the title, ASIN, product URL, current price, rating, review count and capture timestamp, then validate the final dataset against your price/rating filters and remove duplicate ASINs before delivery. My background is in Python automation and structured data processing, so I’ll keep the extraction logic simple and documented and return the results in a clean CSV or Google Sheet. I can send you a small sample first so you can verify the fields before I run the full collection. I’d just like to confirm the Amazon marketplace and roughly how many matching listings you want captured.

@abdelhafidg

Hi, I can build a lightweight and repeatable Amazon listing scraper that filters products by your required price range and minimum star rating, then delivers a clean CSV/Google Sheet-ready dataset. The workflow can collect and validate: • Product title • ASIN • Full Amazon URL • Current price • Star rating • Review count • Capture timestamp I’ll also include validation to ensure every record is inside the requested price/rating criteria, remove duplicate ASINs, flag missing core fields, and keep the extraction structured for sorting and future filtering. For the implementation, I can use Python with Requests/BeautifulSoup, Playwright or Selenium depending on the Amazon pages and required reliability. If an appropriate API/data source is available, I can evaluate that option as well. I have hands-on experience with Python web scraping, Selenium, Playwright, BeautifulSoup, data extraction, processing and automation. I can also provide the scraper/script and a short README explaining the workflow so the pull can be reproduced later. Once you provide the target Amazon marketplace, price range, rating threshold and approximate number of listings, I can start with a small test extraction and confirm the output format before the full run.

@mikes126

I’d treat this as a data-quality job first and a scraping job second. The important part is producing a clean, reproducible dataset where every ASIN is verified against the requested price/rating filters and no duplicate or incomplete records slip through. I can build the workflow around Python + BeautifulSoup/Selenium or an approved Amazon data source, depending on what access is available. The output will include: Product title ASIN Full Amazon URL Current price Star rating Review count Capture timestamp Duplicate-ASIN validation Price/rating filter validation I’d also include a short README/script note explaining the collection and filtering process so the pull can be repeated later.

@eugabrielmaximo

Hello, Your Amazon dataset needs more than a quick export: every listing must satisfy the price and rating filters, retain complete evidence fields, and remain reproducible without duplicate ASINs. I would build a focused Web Scraping workflow in Python, validate each captured price and star rating, normalize review counts, and deduplicate by ASIN before delivery. Where Amazon serves dynamic content, Typescript can support browser automation; PHP can provide a lightweight rerun endpoint if useful. The final CSV or Google Sheet will include title, ASIN, full URL, current price, rating, review count, and capture timestamp, with clean columns ready for sorting and refiltering. I will also include concise run notes covering the collection method, filtering logic, and repeatable execution steps. I can begin with a small verified sample, then complete the market breadth pull once the price band and minimum rating are supplied. Gabriel

@PromoPeige

Hello! I am Persia and I have extensive experience in the areas of Python Web Scraping • Data Extraction and Validation • CSV and Google Sheets Delivery. You need a clean, accurate spreadsheet of Amazon product listings filtered by a specific price range and minimum star rating. Every row must include title, ASIN, URL, price, rating, review count, and capture timestamp, with no duplicates and no missing fields. Here is my plan. First, I will confirm the price band and rating threshold with you after project start. Then I will build a Python scraper using requests, BeautifulSoup, or Selenium where needed, with pagination and polite rate limiting. Next, I will validate each record against the price and rating filters, deduplicate by ASIN, and timestamp every capture. Finally, I will deliver the data in CSV or Google Sheets with a brief note on the method so you can reproduce it. I chose this method because it is proven. For example, I built a similar Amazon listing extractor for a client comparing price bands and ratings. The script handled pagination, deduplicated by ASIN, and produced a repeatable CSV that passed every acceptance check. I bring scraping, data validation, and clean delivery expertise. Thank you for reading the proposal. If you are interested, I would like to have a serious discussion.

@krish0032

I can efficiently gather and consolidate Amazon product listings based on your specified filters. With my expertise in Python and web scraping tools, I will ensure accurate data collection while delivering a neatly formatted CSV or Google Sheet. Let's discuss how I can best meet your needs.

@chamanrajragu

Amazon prices change during the day and differ by marketplace and seller, so a clean price band depends on when and where each price was captured. That's why I'd record a timestamp and the exact marketplace for every row, so your "every item inside the range" check stays valid later. Plan: - Collect listings within your price band and rating threshold, across enough sub-categories to show the real spread of the market. - Fields: title, ASIN, full URL, current price, star rating, review count and capture timestamp, de-duplicated by ASIN with no blank core fields. - Deliver as a Google Sheet (or CSV) with filters set up, so you can re-sort and re-filter straight away. - Method note: I'd use careful manual collection, or Amazon's own Product Advertising API if you have access, rather than bulk scraping that breaks Amazon's terms. That way the pull is repeatable and won't get blocked. I'll share the first 20 rows early so you can confirm the format before I complete the rest. Which Amazon marketplace is this for (.com, .in or another), and roughly how many listings do you need? Chaman

@gagansahay695

Hi, I'd be glad to help collect Amazon product listings that match your specific price range and minimum product rating filters. I can deliver this using a combination of web scraping techniques and approved tools, including Python, BeautifulSoup, and Selenium. My approach will involve collecting enough listings to show market breadth within the set price band, recording the required fields such as product title, ASIN, full URL, current price, star rating, number of reviews, and time-stamp of capture, and delivering the data in a clearly formatted CSV or Google Sheets file. I will also include a brief note on the technique or script used, so you can reproduce the pull if needed. I can cover: • A consolidated spreadsheet of Amazon product listings within the specified price range and meeting the minimum product rating • Product title, ASIN, full URL, current price, star rating, number of reviews, and time-stamp of capture for each listing • Data delivered in CSV or Google Sheets, clearly formatted for sorting and re-filtering • A brief note on the technique or script used for data collection I work with clear progress updates and honest scoping. Please share your specific price range and minimum product rating filters, and I can get started right away. Best regards, Gagan

@abhilashr53

You need a clean, filtered Amazon dataset delivered fast with a repeatable process behind it. Here is my plan: Python script using Selenium for rendering plus BeautifulSoup for parsing, pulling title, ASIN, URL, price, star rating, review count, and capture timestamp directly into a deduplicated Google Sheet or CSV. I will validate every row against your price range and rating floor before delivery, and include the annotated script so you can rerun it yourself anytime. I have built similar structured scraping pipelines and know how to handle Amazon's dynamic page loading without getting tripped up by lazy-loaded elements. Timeline: 2 to 3 days once you confirm the price range and minimum rating threshold. What category or search term are you targeting?

@Azcodes07

As an experienced data scientist well-versed in Python, BeautifulSoup, Selenium and data scraping, I'm equipped to handle your Amazon Listing Data Scraper project with precision and professionalism. My proficiency with these tools will allow me to provide you with a comprehensive and accurately formatted spreadsheet of Amazon product listings that falls within the defined price range and meets or exceeds your specified star rating threshold. Moreover, my strong background in automation and data analysis will ensure not only a swift completion of this task but also a reliable solution that can be easily reproduced if necessary. In addition, I have proven my ability to tackle all types of data-related tasks, undertaking projects as diverse as constructing an e-commerce scraper for major Pakistani retail platforms and developing a research-grade conflict-data pipeline- a testament to my adaptability and resourcefulness. Above all, I promise clear communication throughout the project, ensuring that you are kept in the loop at every stage. With me, you're not just hiring a freelancer; you are gaining a dedicated partner who is committed to delivering quality outputs on time. So let's leverage my skills and ensure efficient web scraping that lets you retrieve essential product data efficiently while saving you valuable time