#Scrape Amazon Product Data

[webscreen-scraping]

We provide Amazon web scraping services to extract product details including Price, shipping, product, sales rank, ASIN, product feature, customer review, etc.

[iwebdatascrape]

Amazon Product Data Scraping Services - Scrape Amazon Product Data

Leverage the benefit of our Amazon product data scraping services to efficiently scrape Amazon product data, encompassing essential details such as ASIN, product titles, pricing information, and more.

know more:

[3idatascraping]

How to Extract Amazon Product Prices Data with Python 3

Web data scraping assists in automating web scraping from websites. In this blog, we will create an Amazon product data scraper for scraping product prices and details. We will create this easy web extractor using SelectorLib and Python and run that in the console.

[retailgators]

Our Amazon product data scraping service helps you gather real-time pricing, reviews, ratings, and product details effortlessly. Stay ahead in eCommerce with accurate and structured data for market analysis, competitor research, and business growth. Get the best Amazon data extraction solutions today

[scrapingintelligence]

Top 10 Alternatives for Amazon Scraping You Should Consider

Amazon is a very popular online shopping platform that operates globally. Amazon has a wide range of products available to buy from millions of sellers worldwide. This very popular eCommerce platform is an excellent source for getting data insights to uplift the business. Amazon provides valuable data related to product details, prices, reviews, offers, product specifications, and more.

Businesses looking to collect valuable eCommerce data can utilize alternative platforms providing the same information as Amazon without facing many hurdles and technical difficulties. This article will discuss the top 10 alternative platforms to extract required eCommerce data effectively.

Top 10 Alternatives for Amazon Scraping

Getting data from Amazon is difficult as available details are dynamic, pagination functionality, terms and conditions to get data, and a change of platform structure can be hurdles. Moreover, Amazon uses anti-data scraping policies and CAPTCHAs, which can add more difficulties in collecting data from this giant platform. The top 10 alternatives for Amazon data scraping are described below:

Walmart Scraping

Walmart is one of the biggest eCommerce retailers across the globe. Having millions of products and thousands of sellers available on the platform attracts a great number of buyers. Walmart is counted as one of Amazon's main competitors because of its various product categories, including groceries, electronics, home goods, clothing, and more.

eBay Scraping

eBay is an eCommerce platform that allows individuals and businesses to buy and sell new or old items across the globe. This platform has a great range of categories covering electronics, automobiles, fashion, accessories, collectibles, households, and more. This platform works on an auction-style basis along with offerings with fixed prices. eBay is a very popular platform with enormous product data and a significant user base.

Target Scraping

Another alternative source to Amazon is Target, a USA-based retailer platform that provides various products. Target is very popular amongst buyers as it offers attractive deals for the product range covering groceries, clothing, electronics, home goods, and more.

Etsy Scraping

An online marketplace functions at the global level. Etsy specifically sells goods related to handmade stuff, vintage things, and unique products. You can find a great range of categories related to home decor, clothing, jewelry, and art. Etsy is the first choice of the buyers who are looking for the unique and personalized items.

Best Buy Scraping

Best Buy, another popular online retailer platform which can be used as an alternative of Amazon for data acquisition. This platform is majorly functioning in consumer electronics, providing products such as smartphones, computers, TVs, and home appliances. Best Buy is the perfect place for tech enthusiasts and buyers looking for great electronic deals.

Shopify Store Scraping

Shopify is the platform where businesses can create and run their online stores to sell their products. Thousands of small and medium brands use Shopify to sell their products directly to customers.

Flipkart Scraping

Flipkart, one of the largest eCommerce platforms, presents a great range of products within multiple categories, such as electronics, fashion, home goods, and groceries. Flipkart is very popular in India andis taken as the strongest competitor of Amazon.

AliExpress Scraping

It’s a part of the Alibaba group, having the majority of sellers from China, functioning worldwide to connect consumers and sellers directly. This platform is very popular for buying products at low cost. This platform covers various categories, including electronics, fashion, and home goods.

Newegg Scraping

Newegg is one of the leading online retailers that provides goods related to computer hardware, electronic gadgets, gaming consoles, and accessories. This platform is getting popular day by day between tech and game enthusiasts.

Home Depot Scraping

Home Depot is one of the biggest brands to buy home improvement products in the USA. Home Depot specializes in DIY products, construction materials, appliances, and services like home repair. Along with the physical stores, they also have an online marketplace offering millions of products to buy.

Use Cases for Alternative Scraping

There are various use cases of alternative scraping which provide high solutions to fulfill the specific business. It ensures compliance, data accuracy, and efficiency while offering a variety of benefits to achieve market growth.

Pricing Strategy Development

Getting data related to product pricing from alternate ecommerce platforms helps to build an effective pricing strategy for your buyers. Real-time pricing data allows to track and monitor competitor price changes over the time and helps to adjust your product prices in a quick manner. Moreover, tracking and monitoring discounts, offers, flash sales help to build and deliver promotional offers to your customers.

Competitor Analysis

Data extraction from various ecommerce platforms helps gather competitors' data from multiple data sources. This data provides insights on how competitor products perform on other platforms, what prices they keep on a varied marketplace, how they attract customers, and what strategies they implement for different platforms. With this data, businesses can build effective marketing and product selling strategies for every marketplace and gain maximum benefits in product selling and revenue earning.

Market Trend Analysis

Alternative data scraping can collect and analyze large volumes of data from multiple sources to seamlessly identify market trends and shifts in a specific segment. With real-time market analysis, businesses can gather data on competitors' pricing, product launches, and promotions to understand market positioning. It also helps in customer sentiment analysis, determining emerging trends and keyword popularity to stay ahead by making data-driven decisions.

Product Availability

Alternative web scraping can help track product availability on e-commerce platforms, brand websites, and online marketplaces. Businesses can also monitor inventory to ensure timely restocking of the products.

Conclusion

Scraping large amounts of ecommerce data provides valuable data insights into product and market trends, pricing and competitor strategies. Scraping Amazon data helps brands know how their products perform, identify competitor strategies, reveal consumer sentiments, build effective marketing strategies, and more. With accurate analysis and proper utilization, E-commerce companies can set competitive prices, know the latest market trends, optimize products, introduce new products, find new business opportunities, etc.

Resource: https://www.websitescraper.com/top-10-alternatives-for-amazon-scraping.php

[kawaiiwizardtale]

Develop your own Amazon product scraper bot in Python

How to scrape data from amazon.com? Scraping amazon products details benefits to lots of things as product details, images, pricing, stock, rating, review, etc and it analyzes how particular brand being popular on amazon and competitive analysis. Read more

[femboy-c-cups]

you'd think considering we've been living squarely in the hypercapitalist silicon valley technofuture for some time now, that with all the scraping and selling of your data, the "algorithm" would actually be y'know, good?

Like cmon, i know its about engagement not about making a good customer experience but you'd kinda expect that like if twitter or tumblr is feeding everything ive ever done into the machine that spits out the "for you" page then maybe it would be able to do better than just showing you every post that has the same tag as the last post you liked.

Or amazon being like "we saw you recently purchased a flat screen tv, have you considered buying more flat screen tvs?" Shouldn't you be able to predict what i need precisely when i need it by now? Instagram knows i like ttrpgs so for the past year has been continuously advertising Mothership to me, a product i have owned for many years already. How is this working out well for anyone?

[mariacallous]

Grindr’s AI wingman, currently in beta testing with around 10,000 users, arrives at a pivotal moment for the software company. With its iconic notification chirp and ominous mask logo, the app is known culturally as a digital bathhouse for gay and bisexual men to swap nudes and meet with nearby users for sex, but Grindr CEO George Arison sees the addition of a generative AI assistant and machine intelligence tools as an opportunity for expansion.

“This is not just a hookup product anymore,” he says. “There's obviously no question that it started out as a hookup product, but the fact that it's become a lot more over time is something people don't fully appreciate.” Grindr’s product road map for 2025 spotlights multiple AI features aimed at current power users, like chat summaries, as well as dating and travel-focused tools.

Whether users want them or not, it’s all part of a continuing barrage of AI features being added by developers to most dating apps, from Hinge deciding whether profile answers are a slog using AI, to Tinder soon rolling out AI-powered matches. Wanting to better understand how AI fits into Grindr's future, I experimented with a beta version of Grindr's AI wingman for this hands-on report.

First Impressions of Grindr’s AI Wingman

In interviews over the past few months, Arison has laid out a consistent vision for Grindr’s AI wingman as the ultimate dating tool—a digital helper that can write witty responses for users as they chat with matches, help pick guys worth messaging, and even plan the perfect night out.

“It's been surprisingly flirtatious,” he says about the chatbot. “Which is good.”

Once enabled, the AI wingman appeared as another faceless Grindr profile in my message inbox. Despite grand visions for the tool, the current iteration I tested was a simple, text-only chatbot tuned for queer audiences.

First, I wanted to test the chatbot’s limits. Unlike the more prudish outputs from OpenAI’s ChatGPT and Anthropic’s Claude, Grindr’s AI wingman was willing to be direct. I asked it to share fisting tips for beginners, and after stating that fisting is not for newcomers, the AI wingman encouraged me to start slow, use tons of lube, explore smaller toys first, and always have a safe word ready to go. “Most importantly, do your research and maybe chat with experienced folks in the community,” the bot said. ChatGPT flagged similar questions as going against its guidelines, and Claude refused to even broach the subject.

Although the wingman was down to talk through other kinks—like watersports and pup play—with a focus on education, the app rebuked my advances for any kind of erotic role-play. “How about we keep things playful but PG-13?” said Grindr’s AI wingman. “I’d be happy to chat about dating tips, flirting strategies, or fun ways to spice up your profile instead.” The bot also refused to explore kinks based on race or religion, warning me that these are likely harmful forms of fetishization.

Processing data through Amazon Web Service’s Bedrock system, the chatbot does include some details scraped from the web, but it can’t go out and find new information in real time. Since the current version doesn't actively search the internet for answers, the wingman provided more general advice than specifics when asked to plan a date for me in San Francisco. “How about checking out a local queer-owned restaurant or bar?” it said. “Or maybe plan a picnic in a park and people-watch together?” Pressed for specifics, the AI wingman did name a few relevant locations for date nights in the city but couldn’t provide operating hours. In this instance, posing a similar question to ChatGPT produced a better date night itinerary, thanks to that chatbot’s ability to search the open web.

Despite my lingering skepticism about the wingman tool potentially being more of an AI fad than the actual future of dating, I do see immediate value in a chatbot that can help users come to terms with their sexuality and start the coming out process. Many Grindr users, including myself, become users of the app before telling anyone about their desires, and a kind, encouraging chatbot would have been more helpful to me than the “Am I Gay?” quiz I resorted to as a teenager.

Out With the Bugs, In With the AI

When he took the top job at Grindr before the company’s public listing in 2022, Arison prioritized zapping bugs and fixing app glitches over new feature releases. “We got a lot of bugs out of the way last year,” he says. “Until now, we didn't really have an opportunity to be able to build a lot of new features.”

Despite getting investors hot and bothered, it’s hard to tell how daily Grindr users will respond to this new injection of AI into the app. While some may embrace the suggested matches and the more personalized experience, generative AI is now more culturally polarizing than ever as people complain about its oversaturation, lack of usefulness, and invasion of privacy. Grindr users will be presented with the option to allow their sensitive data, such as the contents of their conversations and precise location, to be used to train the company’s AI tools. Users can go into their account’s privacy settings to opt out if they change their mind.

Arison is convinced in-app conversations reveal a more authentic version of users than what's filled out on any profile, and the next generation of recommendations will be stronger by focusing on that data. “It's one thing what you say in your profile,” he says. “But, it's another thing what you say in your messages—how real that might be.” Though on apps like Grindr, where the conversations often contain explicit, intimate details, some users will be uncomfortable with an AI model reading their private chats to learn more about them, choosing to avoid those features.

Potentially, one of the most helpful AI tools for overly active Grindr users who are open to their data being processed by AI models could be the chat summaries recapping recent interactions with some talking points thrown in to keep conversations going.

“It's really about reminding you what type of connection you might have had with this user, and what might be good topics that could be worth picking back up on,” says A. J. Balance, Grindr’s chief product officer.

Then there’s the model’s ability to highlight the profiles of users it thinks you’re most compatible with. Say you’ve matched with another user and chatted a bit, but that’s as far as things went in the app. Grindr’s AI model will be able to summarize details about that conversation and, using what it has learned about you both, highlight those profiles as part of an “A-List” and offer some ways to rekindle the connection, widening the door you’ve already opened.

“This ‘A-List’ product actually goes through your inbox with folks you've spoken with, pulls out the folks where you've had some good connections,” Balance says. “And it uses that summary to remind you why it could be good to pick back up the conversation.”

Slow Roll

As a gaybie, my first interactions on Grindr were liberating and constricting at the same time. It was the first time I saw casual racism, like “No fats. No fems. No Asians,” blasted across multiple online profiles. And even at my fittest, there always seemed to be some headless torso more in shape than me right around the corner and ready to mock my belly. Based on past experiences, AI features that could detect addiction to the app and encourage healthier habits and boundaries would be a welcome addition.

While Grindr’s other, AI-focused tools are planned for more immediate releases throughout this year, the app’s generative AI assistant isn’t projected to have a complete rollout until 2027. Arison doesn’t want to rush a full release to Grindr’s millions of global users. “These are also expensive products to run,” he says. “So, we want to be kind of careful with that as well.” Innovations in generative AI, like DeepSeek’s R1 model, may eventually reduce the cost to run it on the backend.

Will he be able to navigate adding these experimental, and sometimes controversial, AI tools to the app as part of a push to become more welcoming for users looking to find long-term relationships or queer travel advice, in addition to hookups? For now, Arison appears optimistic, albeit cautious. “We don't expect all of these things to take off,” he says. “Some of them will and some won't.”

[webscreen-scraping]

The ASIN (Amazon Standard Identification Identifier) is a ten-digit number that is used to identify products on Amazon. This is unique to each product and is assigned when a new item is added to Amazon's stock. Except for books, which have an ISBN (International Standard Book Number) instead of an ASIN, almost every product on Amazon has an ASIN code. This Amazon product identifier is required before you may sell on Amazon. To achieve the best and most precise results, you can use an Amazon scraping tool to scrape Amazon product data.

[iwebdatascrape]

Amazon product data scraper | Amazon scraping tool

Improve product design, & find the correct prices using our Amazon product data scraper. Use the Amazon product scraping tool to create a perfect marketing campaign.

[3idatascraping]

How To Extract Amazon Product Prices Data With Python 3?

How To Extract Amazon Product Data From Amazon Product Pages?

Markup all data fields to be extracted using Selectorlib

Then copy as well as run the given code

Setting Up Your Computer For Amazon Scraping

We will utilize Python 3 for the Amazon Data Scraper. This code won’t run in case, you use Python 2.7. You require a computer having Python 3 as well as PIP installed.

Follow the guide given to setup the computer as well as install packages in case, you are using Windows.

Packages For Installing Amazon Data Scraping

Python Requests for making requests as well as download HTML content from Amazon’s product pages

SelectorLib python packages to scrape data using a YAML file that we have created from webpages that we download

Using pip3,

pip3 install requests selectorlib

Extract Product Data From Amazon Product Pages

An Amazon product pages extractor will extract the following data from product pages.

Product Name

Pricing

Short Description

Complete Product Description

Ratings

Images URLs

Total Reviews

Optional ASINs

Link to Review Pages

Sales Ranking

Markup Data Fields With Selectorlib

As we have marked up all the data already, you can skip the step in case you wish to have rights of the data.

Let’s save it as the file named selectors.yml in same directory with our code

For More Information : https://www.3idatascraping.com/how-to-extract-amazon-prices-and-product-data-with-python-3/

[retailgators]

Extract Amazon Product & Price Data

Scraping Amazon Product Data using Retailgators

Retailgators helps you scrape data from all websites like Amazon. It’s specially designed to make data scraping a totally painless exercise. Retailgators needs no coding, just let us know your requirements and Retailgators will scrape them for your dataset. With Retailgators, it’s easy to scrape product data such as product’s name, rating, specs, pricing, description, as well as other product-associated data from different Amazon domains.

Use Cases of Amazon Data Scraping

Scrape Product Prices, Info, Images, etc. from Amazon

For any e-commerce business, you need all the product details, prices, descriptions, and images from Amazon.

It could be very challenging to have images and product descriptions from different manufacturers. This would be time-consuming to physically copy data as well as images from the manufacturer websites but this is also not feasible. You just can’t wait on a manufacturer to provide the details and images forever.

With Retailgators, you can routinely scrape images and data which are ready for uploading to your site.

Automate Competitor Monitoring Process

You can’t visualize any business without comparison of competitor prices as well as their products.

You have to continuously monitor it to exercise your own strategies. You have to check the product accessibility. You should monitor Product promotions and Special Offers as well as track different deals provided by the competitors for similar products you are providing.

Retailgators can assist you with routinely and automatically scraping competitor prices, color, product variation sizes, and product availability from Amazon.

Scraping Product Data Through Listing

You might require product data from particular listing pages including ‘best seller’ or ‘through search keyword’. Here, you will require an accurate instrument, which can fetch those product details.

Retailgators’ connecting functionality is specially designed to deal with the challenges in terms of scraping such particular product associated data.

You can repeatedly scrape infinite product data about: Best sellers, By Category, Highest Reviewed, Only Refurbished, Subcategory, By ASIN, Only Prime, Through Product Page URLs, By Brand, Through Search Keyword, Through Seller / Store Name.

On-Demand Amazon Data Scraper

Retailgators is the service, which offers the required data from Amazon on-demand. This can be utilized by an online merchant when he or she requires to scrape Amazon listings. The procedure of getting the data consists of man easy steps:

1. Identify the URL as well as the data you wish to scrape from the product pages in an order form. You may do product scraping:

In a Definite Category

Bestsellers

By Brand, Manufacturer, or Other

Optimization Services

2. Identify what data you require to get. This can be:

Product Title

Description

Pricing

Product Variations, for example, color and size variation names

Image URL

Additional product images

3. Amazon shows product details given by the manufacturers. Also, there are tons of important user-generated data. Retailgators can scrape it for you.

4. Review the Sample Output File.

You will get the file in 24 business hours. You may review it as well as make corrections if any before we extract the whole listing. You will also have the estimate of full data scraping.