#scrape api

[glassedplanets]

Can you do it, Drifter? Can you make the Man with the Golden Gun the villain in the eyes of those who would tempt the Dark?

redraw!

[mostlysignssomeportents]

An interoperability rule for your money

This is the final weekend to back the Kickstarter campaign for the audiobook of my next novel, The Lost Cause. These kickstarters are how I pay my bills, which lets me publish my free essays nearly every day. If you enjoy my work, please consider backing!

"If you don't like it, why don't you take your business elsewhere?" It's the motto of the corporate apologist, someone so Hayek-pilled that they see every purchase as a ballot cast in the only election that matters – the one where you vote with your wallet.

Voting with your wallet is a pretty undignified way to go through life. For one thing, the people with the thickest wallets get the most votes, and for another, no matter who you vote for in that election, the Monopoly Party always wins, because that's the part of the thick-wallet set.

Contrary to the just-so fantasies of Milton-Friedman-poisoned bootlickers, there are plenty of reasons that one might stick with a business that one dislikes – even one that actively harms you.

The biggest reason for staying with a bad company is if they've figured out a way to punish you for leaving. Businesses are keenly attuned to ways to impose switching costs on disloyal customers. "Switching costs" are all the things you have to give up when you take your business elsewhere.

Businesses love high switching costs – think of your gym forcing you to pay to cancel your subscription or Apple turning off your groupchat checkmark when you switch to Android. The more it costs you to move to a rival vendor, the worse your existing vendor can treat you without worrying about losing your business.

Capitalists genuinely hate capitalism. As the FBI informant Peter Thiel says, "competition is for losers." The ideal 21st century "market" is something like Amazon, a platform that gets 45-51 cents out of every dollar earned by its sellers. Sure, those sellers all compete with one another, but no matter who wins, Amazon gets a cut:

https://pluralistic.net/2023/09/28/cloudalists/#cloud-capital

Think of how Facebook keeps users glued to its platform by making the price of leaving cutting of contact with your friends, family, communities and customers. Facebook tells its customers – advertisers – that people who hate the platform stick around because Facebook is so good at manipulating its users (this is a good sales pitch for a company that sells ads!). But there's a far simpler explanation for peoples' continued willingness to let Mark Zuckerberg spy on them: they hate Zuck, but they love their friends, so they stay:

https://www.eff.org/deeplinks/2021/08/facebooks-secret-war-switching-costs

One of the most important ways that regulators can help the public is by reducing switching costs. The easier it is for you to leave a company, the more likely it is they'll treat you well, and if they don't, you can walk away from them. That's just what the Consumer Finance Protection Bureau wants to do with its new Personal Financial Data Rights rule:

https://www.consumerfinance.gov/about-us/newsroom/cfpb-proposes-rule-to-jumpstart-competition-and-accelerate-shift-to-open-banking/

The new rule is aimed at banks, some of the rottenest businesses around. Remember when Wells Fargo ripped off millions of its customers by ordering its tellers to open fake accounts in their name, firing and blacklisting tellers who refused to break the law?

https://www.npr.org/sections/money/2016/10/07/497084491/episode-728-the-wells-fargo-hustle

While there are alternatives to banks – local credit unions are great – a lot of us end up with a bank by default and then struggle to switch, even though the banks give us progressively worse service, collectively rip us off for billions in junk fees, and even defraud us. But because the banks keep our data locked up, it can be hard to shop for better alternatives. And if we do go elsewhere, we're stuck with hours of tedious clerical work to replicate all our account data, payees, digital wallets, etc.

That's where the new CFPB order comes in: the Bureau will force banks to "share data at the person’s direction with other companies offering better products." So if you tell your bank to give your data to a competitor – or a comparison shopping site – it will have to do so…or else.

Banks often claim that they block account migration and comparison shopping sites because they want to protect their customers from ripoff artists. There are certainly plenty of ripoff artists (notwithstanding that some of them run banks). But banks have an irreconcilable conflict of interest here: they might want to stop (other) con-artists from robbing you, but they also want to make leaving as painful as possible.

Instead of letting shareholder-accountable bank execs in back rooms decide what the people you share your financial data are allowed to do with it, the CFPB is shouldering that responsibility, shifting those deliberations to the public activities of a democratically accountable agency. Under the new rule, the businesses you connect to your account data will be "prohibited from misusing or wrongfully monetizing the sensitive personal financial data."

This is an approach that my EFF colleague Bennett Cyphers and I first laid our in our 2021 paper, "Privacy Without Monopoly," where we describe how and why we should shift determinations about who is and isn't allowed to get your data from giant, monopolistic tech companies to democratic institutions, based on privacy law, not corporate whim:

https://www.eff.org/wp/interoperability-and-privacy

The new CFPB rule is aimed squarely at reducing switching costs. As CFPB Director Rohit Chopra says, "Today, we are proposing a rule to give consumers the power to walk away from bad service and choose the financial institutions that offer the best products and prices."

The rule bans banks from charging their customers junk fees to access their data, and bans businesses you give that data to from "collecting, using, or retaining data to advance their own commercial interests through actions like targeted or behavioral advertising." It also guarantees you the unrestricted right to revoke access to your data.

The rule is intended to replace the current state-of-the-art for data sharing, which is giving your banking password to third parties who go and scrape that data on your behalf. This is a tactic that comparison sites and financial dashboards have used since 2006, when Mint pioneered it:

https://www.eff.org/deeplinks/2019/12/mint-late-stage-adversarial-interoperability-demonstrates-what-we-had-and-what-we

A lot's happened since 2006. It's past time for American bank customers to have the right to access and share their data, so they can leave rotten banks and go to better ones.

The new rule is made possible by Section 1033 of the Consumer Financial Protection Act, which was passed in 2010. Chopra is one of the many Biden administrative appointees who have acquainted themselves with all the powers they already have, and then used those powers to help the American people:

https://pluralistic.net/2022/10/18/administrative-competence/#i-know-stuff

It's pretty wild that the first digital interoperability mandate is going to come from the CFPB, but it's also really cool. As Tim Wu demonstrated in 2021 when he wrote Biden's Executive Order on Promoting Competition in the American Economy, the administrative agencies have sweeping, grossly underutilized powers that can make a huge difference to everyday Americans' lives:

https://www.eff.org/de/deeplinks/2021/08/party-its-1979-og-antitrust-back-baby

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/10/21/let-my-dollars-go/#personal-financial-data-rights

My next novel is The Lost Cause, a hopeful novel of the climate emergency. Amazon won't sell the audiobook, so I made my own and I'm pre-selling it on Kickstarter!

Image: Steve Morgan (modified) https://commons.wikimedia.org/wiki/File:U.S._National_Bank_Building_-_Portland,_Oregon.jpg

Stefan Kühn (modified) https://commons.wikimedia.org/wiki/File:Abrissbirne.jpg

CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0/deed.en

 - 

Rhys A. (modified) https://www.flickr.com/photos/rhysasplundh/5201859761/in/photostream/

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/

[dkettchen]

not me finding out that fandom wikis do not have an api (which is like a specialised ui for programmers that a lot of websites have where you can more directly access resources off the website with programming tools, f.e. if one piece wiki had one, you could tell your coding languages like "hey get all the strawhat pirates' names and heights off their character pages and put them in my database here please" and it would be able to get that info off the wiki for you) so I will have to learn web scraping to get data off there for visualising ship stats project I have planned for my data analysis portfolio instead now smh

[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.

[foodspark-scraper]

Kroger Grocery Data Scraping | Kroger Grocery Data Extraction

Shopping Kroger grocery online has become very common these days. At Foodspark, we scrape Kroger grocery apps data online with our Kroger grocery data scraping API as well as also convert data to appropriate informational patterns and statistics.

[newsdataapi]

In today's world creating a website and application has become very easy with the use of APIs. With the APIs, you can integrate your website or applications with other sources. Here we have a list of Top Free APIs you can use in your APP development.

[bypasscloudflare]

Zenrows Alternative | ScrapingBypass Web Scraping API Bypass Cloudflare

Are you looking for a Zenrows alternative? 

Zenrows is a web scraping API that can bypass Cloudflare, Captcha, and all anti-bot verification. ScrapingBypass is so similar to Zenrows, so you can use it to extract data easily. 

👉 Go to ScrapingBypass website: https://www.scrapingbypass.com

[reviewgatorsusa]

Scrape Lazada Reviews API | Extract Review Data from Lazada

Our Lazada reviews API makes scraping reviews from Lazada easier with no headless browsers, maintenance, CAPTCHAs, or technical overhead. We Extract reviews from over 50 websites in JSON format. Call today for lazada data scraping.

[scrapingbypass]

ScrapingBypass Web Scraping API Bypass Cloudflare Captcha Verification

ScrapingBypass API can bypass Cloudflare Captcha verification for web scraping using Python, Java, NodeJS, and Curl. $3 for 3-day trial: https://www.scrapingbypass.com/pricing ScrapingBypass: https://scrapingbypass.com Telegram: https://t.me/CloudBypassEN

[scrapingdog]

Learn how to bypass restrictions and access blocked websites using Node Unblocker. A complete tutorial for web scraping enthusiasts and developers.

[iwebscrapingblogs]

E-commerce Web Scraping API for Accurate Product & Pricing Insights

Access structured e-commerce data efficiently with a robust web scraping API for online stores, marketplaces, and retail platforms. This API helps collect data on product listings, prices, reviews, stock availability, and seller details from top e-commerce sites. Ideal for businesses monitoring competitors, following trends, or managing records, it provides consistent and correct results. Built to scale, the service supports high-volume requests and delivers results in easy-to-integrate formats like JSON or CSV. Whether you need data from Amazon, eBay, or Walmart. iWeb Scraping provides unique e-commerce data scraping services. Learn more about the service components and pricing by visiting iWebScraping E-commerce Data Services.

[actowizsolutions0]

How to Scrape Data from Chinese Sellers on MercadoLibre MX FBM

Introduction

The eCommerce industry in Latin America has seen massive growth, with MercadoLibre Mexico emerging as one of the largest online marketplaces. Among the various sellers operating on the platform, Chinese Sellers on MercadoLibre Mexico have gained a significant market share due to their competitive pricing, diverse product offerings, and strategic use of FBM (Fulfillment by Merchant). These sellers bypass local fulfillment centers, shipping products directly from China, allowing them to maintain lower costs and high-profit margins.

With this increasing competition, businesses need Web Scraping MercadoLibre Mexico Sellers to track seller data, pricing trends, and inventory insights. Extracting real-time marketplace data helps brands, retailers, and competitors stay ahead by understanding product availability, discount strategies, and customer preferences.

This blog explores how to Scrape Data from Chinese Sellers on MercadoLibre, why businesses should monitor seller trends, and how MercadoLibre FBM Web Scraping can help in gathering actionable insights.

Growing Presence of Chinese Sellers on MercadoLibre Mexico

The eCommerce landscape in Latin America has witnessed a surge in international sellers, with Chinese vendors dominating a significant portion of MercadoLibre Mexico. Due to the platform’s vast customer base and cross-border selling opportunities, more Chinese businesses are leveraging MercadoLibre FBM (Fulfillment by Merchant) to ship products directly from their warehouses. This strategy helps them avoid local fulfillment costs and maintain competitive pricing. According to 2025 statistics, over 40% of new electronics and gadget listings on MercadoLibre MX come from Chinese sellers. Their competitive pricing, fast shipping partnerships, and broad product variety have made them major players in Mexico’s online retail market

Importance of MercadoLibre FBM Web Scraping for Tracking Seller Data

With the rising competition in the Latin American eCommerce market, businesses must leverage MercadoLibre FBM Web Scraping to track Chinese seller activities, pricing trends, and inventory strategies. Web Scraping MercadoLibre Mexico Sellers allows companies to extract critical insights such as:

Product Listings – Track new product additions and category trends.

Pricing Strategies – Analyze price fluctuations and discount offers.

Seller Ratings & Feedback – Understand customer sentiment and service quality.

Shipping & Delivery – Monitor estimated delivery times and logistics efficiency.

By implementing Scrape Data from Chinese Sellers on MercadoLibre, businesses can make data-backed decisions, optimize pricing strategies, and enhance their marketplace performance.

How Businesses Can Benefit from Extracting Accurate and Real-Time Marketplace Insights?

By using Extract MercadoLibre Seller Information, businesses can unlock crucial insights to improve sales strategies and outperform competitors. Key benefits include:

A. Competitive Pricing Strategies

Track Chinese seller pricing and adjust prices accordingly.

Identify seasonal discount patterns and promotional campaigns.

Use Track Chinese Seller Prices on MercadoLibre to maintain a competitive edge.

B. Trend Analysis & Market Research

Discover top-selling categories and emerging trends.

Analyze product demand based on customer preferences.

Scrape MercadoLibre Product Listings to monitor newly launched items.

C. Inventory & Stock Optimization

Monitor product availability and restocking patterns.

Identify potential stock shortages and supply chain issues.

Ensure optimal inventory levels to meet market demand.

How to Scrape Data from Chinese Sellers on MercadoLibre?

Businesses can leverage Web Scraping for Cross-Border eCommerce Data to gain critical marketplace insights and stay competitive. By extracting data from global marketplaces, companies can track pricing trends, monitor competitors, and optimize their sales strategy.

Key Steps in Web Scraping for eCommerce Insights

Identifying Targeted Seller Data – Businesses can collect essential details such as product names, prices, ratings, and reviews from various online platforms. This data helps in understanding competitor pricing strategies and customer preferences.

Setting Up Automated Scrapers – Utilizing advanced web scraping tools, businesses can efficiently extract structured data without manual effort. Automation ensures consistency and scalability, making data collection seamless.

Filtering & Analyzing Data – Once data is extracted, it is essential to organize and analyze it for competitor benchmarking and pricing analysis. This helps businesses adjust their pricing strategies and enhance product offerings based on real market trends.

Monitoring Real-Time Updates – The eCommerce landscape is dynamic, requiring businesses to stay updated. Automated scrapers can be set to perform daily or weekly data extraction to track changing trends, stock availability, and price fluctuations.

MercadoLibre FBM Web Scraping for Enhanced Market Intelligence

For businesses targeting Latin American markets, MercadoLibre FBM Web Scraping is a game-changer. By automating data collection from MercadoLibre, companies can gain real-time insights into competitor pricing, top-selling products, and customer sentiment. This ensures accurate and up-to-date marketplace intelligence, enabling data-driven decision-making.

Challenges in Scraping MercadoLibre & How to Overcome Them

While Extracting MercadoLibre Seller Information offers valuable insights, businesses face challenges such as:

CAPTCHAs & Anti-Scraping Mechanisms – Implement Web Scraping API Services for seamless data extraction.

Large Data Volumes – Use Automated Data Extraction from MercadoLibre for scalability.

Dynamic Pricing & Real-Time Updates – Ensure frequent data collection to track price fluctuations accurately.

How Actowiz Solutions Can Help?

Actowiz Solutions specializes in MercadoLibre Seller Analytics with Web Scraping, providing:

Custom Web Scraping Solutions – Tailored tools for tracking seller data.

Real-Time Price & Inventory Monitoring – Keep up with market changes.

Competitor Benchmarking – Compare pricing strategies and product listings.

Scalable & Automated Scraping – Extract large datasets without restrictions.

Our expertise in Scrape Data from Chinese Sellers on MercadoLibre ensures accurate, real-time insights that drive business growth.

Conclusion

The increasing presence of Chinese Sellers on MercadoLibre Mexico presents both opportunities and challenges for businesses. To stay competitive, companies must leverage Web Scraping MercadoLibre Mexico Sellers for data-driven insights on pricing, inventory, and seller strategies. By implementing MercadoLibre FBM Web Scraping, businesses can optimize pricing, track competitors, and enhance their overall marketplace performance.

Ready to extract real-time data from MercadoLibre? Contact Actowiz Solutions for powerful Web Scraping Services today!

Learn More

[mayurashinde]

Free Intel for SEO Success!

Feeling lost in the SEO jungle? Don't worry! A treasure trove of FREE resources is available to help you spy on the competition and boost your website's ranking.

These Free SERP API Providers offer valuable insights like keyword rankings and competitor strategies. While they might have limitations compared to paid tools, they're a fantastic way to get started and see the power of data-driven SEO.

So, unleash your inner SEO sleuth, leverage these free tools, and watch your website climb the search engine ladder!

[3idatascraping]

Flight Price Monitoring Services | Scrape Airline Data

We Provide Flight Price Monitoring Services in USA, UK, Singapore, Italy, Canada, Spain and Australia and Extract or Scrape Airline Data from Online Airline / flight website and Mobile App like Booking, kayak, agoda.com, makemytrip, tripadvisor and Others.

[foodspark-scraper]

Tapping into Fresh Insights: Kroger Grocery Data Scraping

In today's data-driven world, the retail grocery industry is no exception when it comes to leveraging data for strategic decision-making. Kroger, one of the largest supermarket chains in the United States, offers a wealth of valuable data related to grocery products, pricing, customer preferences, and more. Extracting and harnessing this data through Kroger grocery data scraping can provide businesses and individuals with a competitive edge and valuable insights. This article explores the significance of grocery data extraction from Kroger, its benefits, and the methodologies involved.

The Power of Kroger Grocery Data

Kroger's extensive presence in the grocery market, both online and in physical stores, positions it as a significant source of data in the industry. This data is invaluable for a variety of stakeholders:

Kroger: The company can gain insights into customer buying patterns, product popularity, inventory management, and pricing strategies. This information empowers Kroger to optimize its product offerings and enhance the shopping experience.

Grocery Brands: Food manufacturers and brands can use Kroger's data to track product performance, assess market trends, and make informed decisions about product development and marketing strategies.

Consumers: Shoppers can benefit from Kroger's data by accessing information on product availability, pricing, and customer reviews, aiding in making informed purchasing decisions.

Benefits of Grocery Data Extraction from Kroger

Market Understanding: Extracted grocery data provides a deep understanding of the grocery retail market. Businesses can identify trends, competition, and areas for growth or diversification.

Product Optimization: Kroger and other retailers can optimize their product offerings by analyzing customer preferences, demand patterns, and pricing strategies. This data helps enhance inventory management and product selection.

Pricing Strategies: Monitoring pricing data from Kroger allows businesses to adjust their pricing strategies in response to market dynamics and competitor moves.

Inventory Management: Kroger grocery data extraction aids in managing inventory effectively, reducing waste, and improving supply chain operations.

Methodologies for Grocery Data Extraction from Kroger

To extract grocery data from Kroger, individuals and businesses can follow these methodologies:

Authorization: Ensure compliance with Kroger's terms of service and legal regulations. Authorization may be required for data extraction activities, and respecting privacy and copyright laws is essential.

Data Sources: Identify the specific data sources you wish to extract. Kroger's data encompasses product listings, pricing, customer reviews, and more.

Web Scraping Tools: Utilize web scraping tools, libraries, or custom scripts to extract data from Kroger's website. Common tools include Python libraries like BeautifulSoup and Scrapy.

Data Cleansing: Cleanse and structure the scraped data to make it usable for analysis. This may involve removing HTML tags, formatting data, and handling missing or inconsistent information.

Data Storage: Determine where and how to store the scraped data. Options include databases, spreadsheets, or cloud-based storage.

Data Analysis: Leverage data analysis tools and techniques to derive actionable insights from the scraped data. Visualization tools can help present findings effectively.

Ethical and Legal Compliance: Scrutinize ethical and legal considerations, including data privacy and copyright. Engage in responsible data extraction that aligns with ethical standards and regulations.

Scraping Frequency: Exercise caution regarding the frequency of scraping activities to prevent overloading Kroger's servers or causing disruptions.

Conclusion

Kroger grocery data scraping opens the door to fresh insights for businesses, brands, and consumers in the grocery retail industry. By harnessing Kroger's data, retailers can optimize their product offerings and pricing strategies, while consumers can make more informed shopping decisions. However, it is crucial to prioritize ethical and legal considerations, including compliance with Kroger's terms of service and data privacy regulations. In the dynamic landscape of grocery retail, data is the key to unlocking opportunities and staying competitive. Grocery data extraction from Kroger promises to deliver fresh perspectives and strategic advantages in this ever-evolving industry.