#Extract Hotels Data

[actowiz-123]

Tripadvisor Scraping | Extract Hotels and Restaurants Data

Enhance your travel insights with our TripAdvisor Scraping service. Effortlessly extract hotels and restaurants data for informed travel decisions and analysis.

[iwebdatascraping0]

What Makes a Real-time Scraper for #BookingCom Hotel Data Essential for Price Monitoring?

In the competitive world of online travel and hospitality, real-time pricing insights can make or break your revenue strategy. With rates changing frequently across platforms, especially on giants like #Booking.com, having a real-time hotel price scraper is not just helpful — it’s mission-critical.

At #iWebDataScraping, our real-time hotel data scraping solution delivers up-to-the-minute updates on:

✅ Dynamic hotel room rates by location, date, and demand

✅ Seasonal and event-based price surges

✅ Competitor pricing benchmarks for OTAs and hotel chains

✅ Availability trends and occupancy indicators

✅ Alerts on promotions, discounts, and flash sales

💡 This level of granularity empowers travel agencies, hotel chains, and revenue managers to optimize pricing, increase bookings, and stay ahead of competitors in every market.

📈 The result? Smarter dynamic pricing, better forecasting, and stronger profit margins.

🔗 Learn more about how real-time scraping from Booking.com powers price intelligence:

[mobiledatascrape]

Hotel App Data Scraping Services | Extract Hotel Room Prices

Efficient hotel app data scraping services to extract hotel room prices in the USA, UK, UAE, China, India, Australia, Germany, and Spain. Get the best rates today!

know more:

[ice-man-goes-bwoah]

Protective Bob||Bob Reynolds x reader

Summary —you and Bob like each other but instead of being open about it you’d rather pine.

Word count-998

Warnings —club setting and mentions of a mocktail (it’s just cranberry juice, Sprite and a lime) 

You weren’t supposed to be paired with Bob Reynolds tonight. Normally, it’s you and Walker, your usual rhythm, your usual snark, your usual cover stories. But he’s tied up in Prague with Yelena, and the extraction clock in Budapest doesn’t care about partner preferences.

So here you are. In a grimy underground club that smells like cheap vodka and cheaper cologne, running recon with the one member of the Thunderbolts who looks like he should be curled up with a book rather than lurking in the shadows of organized crime.

Bob Reynolds.

He’s tall, quiet, awkward in a way that isn’t unconfident so much as… gentle. You’ve never worked closely with him before, but you’ve seen how he treats the team. Always carrying an extra pair of gloves in case someone’s hands get cold. The only one who apologizes when briefings run long. The guy who’d rather take a hit himself than let anyone else get bruised.

The guy who makes you smile when he doesn’t realize anyone’s watching.

You glance over at him now, pretending to sip a mocktail that was a mix of sprite and cranberry juice while scanning the crowd. He’s posted up just a few feet behind you, pretending not to be tense, sipping soda through a paper straw like it’s part of his cover.

Your target’s contact hasn’t shown yet.

What does show up is trouble.

A man you don’t recognize definitely not on the op sheet sidles up beside you, reeking of cheap whiskey and bravado.

“Hey there,” he says, leaning in far too close. “You look a little too good for this place.”

You shift your weight but don’t respond. Eye contact is the fastest way to encourage someone like him.

He grins. “That’s not a no. You here with someone?”

Before you can shut him down, there’s movement behind you.

Bob. Barstool scraping. Boots against sticky floor.

Then he’s there right between you and the man, shoulders squared, hands clenched at his sides.

“She said no,” Bob says, voice just loud enough to cut through the noise.

The man snorts. “Who the hell are you?”

“I’m her… bodyguard.”

You nearly choke on your drink.

Bob, who spent ten minutes apologizing for bumping your elbow in the elevator earlier, now stands puffed-up and awkwardly firm, like someone trying to look like they know how to fight without actually wanting to. His chest rises and falls in short bursts nervous adrenaline, definitely. But he doesn’t back down.

The man sizes him up. Bob’s taller, sure, but not exactly threatening. Still, there’s something… off. Not dangerous, exactly, but unpredictable. Bob’s eye twitches. His fingers twitch. He looks like someone trying very hard to act normal and failing.

It weirds the guy out.

“Right. Whatever. She’s all yours, man,” he mutters, retreating into the crowd.

Bob turns to you, eyes wide. “You okay?”

You raise a brow, biting back a grin. “Terrified. You’re so intimidating.”

He blinks. “Wait—really?”

You loop your arm through his and tug him toward a darker corner. “Oh yeah. Especially that ‘I’m her bodyguard’ bit. Classic.”

“I panicked,” he says sheepishly.

You laugh under your breath, finally relaxing. “You were great.”

The rest of the mission goes off without a hitch. Contact shows, data transfers, you ghost out the back with Bob on your heels like a big loyal retriever.

By the time you get back to the safehouse hotel, it’s well past midnight.

You’re exhausted, and apparently, your room’s keycard doesn’t work.

“Seriously?” you mutter, jiggling the handle again.

Bob peeks out of the door across the hall, already changed into sweatpants and an oversized NASA tee. His glasses are off, blonde curls a bit messy. “Everything okay?”

“Locked out,” you sigh.

He hesitates. “Do you… want to crash in mine? Just until the front desk reactivates it?”

You blink at him.

His ears turn bright red. “Not—not like that. I’ll take the chair. Or the floor. Or you can have the bed—I mean, I wasn’t—”

“Bob,” you interrupt gently, smiling. “I trust you.”

His mouth snaps shut. Then curves upward.

Inside his room, it’s warmer than yours ever was. Lived-in. A book with a cracked spine sits open on the nightstand. Two mugs on the desk. He shrugs out of a blanket draped over the armchair and tosses it your way.

“Bed’s yours,” he says, sitting on the floor without argument.

“You can sit on the bed,” you offer.

He looks scandalized. “It’s your—”

“Bob. It’s just a mattress, not a holy relic.”

He huffs a laugh and finally perches beside you, both of you facing the muted TV, shoulders barely brushing.

You pull the blanket tighter. “Thanks for earlier, by the way. You didn’t have to step in.”

“I wanted to.”

His voice is quiet. A little hoarse.

You glance at him. “Even though it made you all twitchy and weird?”

He chuckles, rubbing the back of his neck. “You noticed that, huh?”

“Kinda hard to miss. You’re not exactly subtle.”

He fidgets with a thread on his sleeve. “I just… I don’t like the idea of someone making you uncomfortable. You deserve better.”

That makes you pause. Your breath catches just slightly in your throat.

You nudge his knee with yours. “Thanks, Bob. For caring.”

He turns toward you really looks at you. You can see it now, in the soft focus of the room. The way he holds himself differently around you. Like he’s always on the verge of saying something more.

Your heart thuds.

You want to lean in. You almost do.

But then he moves first awkwardly, shyly offering the hoodie that was bundled at the end of the bed.

“You looked cold earlier.”

You take it. Pull it on. It’s warm and smells like detergent and something soft and boyish.

You sit there like that, shoulder to shoulder, both of you pretending the silence is easy.

And maybe, just maybe, it is.

[reasonsforhope]

"On a blustery day in early March, the who’s who of methane research gathered at Vandenberg Space Force Base in Santa Barbara, California. Dozens of people crammed into a NASA mission control center. Others watched from cars pulled alongside roads just outside the sprawling facility. Many more followed a livestream. They came from across the country to witness the launch of an oven-sized satellite capable of detecting the potent planet-warming gas from space. 

The amount of methane, the primary component in natural gas, in the atmosphere has been rising steadily over the last few decades, reaching nearly three times as much as preindustrial times. About a third of methane emissions in the United States occur during the extraction of fossil fuels as the gas seeps from wellheads, pipelines, and other equipment. The rest come from agricultural operations, landfills, coal mining, and other sources. Some of these leaks are large enough to be seen from orbit. Others are miniscule, yet contribute to a growing problem.

Identifying and repairing them is a relatively straightforward climate solution. Methane has a warming potential about 80 times higher than carbon dioxide over a 20-year period, so reducing its levels in the atmosphere can help curb global temperature rise. And unlike other industries where the technology to decarbonize is still relatively new, oil and gas companies have long had the tools and know-how to fix these leaks.

MethaneSAT, the gas-detecting device launched in March, is the latest in a growing armada of satellites designed to detect methane. Led by the nonprofit Environmental Defense Fund, or EDF, and more than six years in the making, the satellite has the ability to circle the globe 15 times a day and monitor regions where 80 percent of the world’s oil and gas is produced. Along with other satellites in orbit, it is expected to dramatically change how regulators and watchdogs police the oil and gas industry...

A couple hours after the rocket blasted off, Wofsy, Hamburg, and his colleagues watched on a television at a hotel about two miles away as their creation was ejected into orbit. It was a jubilant moment for members of the team, many of whom had traveled to Vandenberg with their partners, parents, and children. “Everybody spontaneously broke into a cheer,” Wofsy said. “You [would’ve] thought that your team scored a touchdown during overtime.”

The data the satellite generates in the coming months will be publicly accessible — available for environmental advocates, oil and gas companies, and regulators alike. Each has an interest in the information MethaneSAT will beam home. Climate advocates hope to use it to push for more stringent regulations governing methane emissions and to hold negligent operators accountable. Fossil fuel companies, many of which do their own monitoring, could use the information to pinpoint and repair leaks, avoiding penalties and recouping a resource they can sell. Regulators could use the data to identify hotspots, develop targeted policies, and catch polluters. For the first time, the Environmental Protection Agency is taking steps to be able to use third-party data to enforce its air quality regulations, developing guidelines for using the intelligence satellites like MethaneSAT will provide. The satellite is so important to the agency’s efforts that EPA Administrator Michael Regan was in Santa Barbara for the launch as was a congressional lawmaker. Activists hailed the satellite as a much-needed tool to address climate change. 

“This is going to radically change the amount of empirically observed data that we have and vastly increase our understanding of the amount of methane emissions that are currently happening and what needs to be done to reduce them,” said Dakota Raynes, a research and policy manager at the environmental nonprofit Earthworks. “I’m hopeful that gaining that understanding is going to help continue to shift the narrative towards [the] phase down of fossil fuels.”

With the satellite safely orbiting 370 miles above the Earth’s surface, the mission enters a critical second phase. In the coming months, EDF researchers will calibrate equipment and ensure the satellite works as planned. By next year [2025], it is expected to transmit reams of information from around the world."

-via Grist, April 7, 2024

[ash-lien]

tips to not look like a bot

change pfp, most important step

reblog liberally

make shitposts

change header and blog colors

more tumblr tips

we're all losers

everything is anonymous, you can follow random people

cultivate your dash, don't be afraid to unfollow (although I like to send a short note, it's not required) or block someone

filter any tags you don't like in your settings! nsfw stuff, triggers, etc. (ex: your filtered tags might be #tw murder, murder, #nsfw, #cw body horror, body horror, #tw transphobia, transphobia)

feel free to scroll through someone's blog and like and reblog their stuff. it's not creepy. usually

people swear freely here. i swear occasionally and just tag for profanity when i do

research fairy vs walrus, vanilla extract, the color of the sky, i like your shoelaces, spiders georg, and children's hospital color theory blood trail

every year we celebrate the ides of march

go to the settings and opt out of that ai data sharing thing. you have to turn this off individually for your main blog and any of your side blogs

tag your posts with relevant stuff. you can also talk in tags to add stuff that isn't really interesting for people who don't follow you or to add an afterthought. if something asks your personal stuff or you're reblogging a poll you voted in, use tags. tags aren't preserved in reblogs

you can follow tags of things you like (#tally hall, #melanie martinez, #hazbin hotel, #art, etc.)

no one can see your follower count

bots will follow you

people love their mutuals here. follow me back?

you can't re-vote in a poll, so click carefully!

neil gaiman and nasa are on here

there are no influencers, but @pukicho, @one-time-i-dreamt, and @bettinalevyisdetermined (is that her url?) come close (idk if tagging people works in asks if it does sorry guys)

there are lots of gimmick blogs, from the post uwuifier to hellsite genetics to the people that identify things in posts like cars, knives, etc. (can't remember the exact urls)

yes, there is a blog that counts the number of letter ts in a post. yes, there is a kitty broker and a puppy broker. yes, there is a blog that posts the "fag of the day", which is always Paul McCartney. yes, there are two blogs that disemvowel posts.

there are blogs specifically for reblogging and creating polls (they do take requests!)

the corporate gimmick blog verse and the celestial same pic verse are pretty cool

lots of people here are lgbtqia and/or neurodivergent

the ceo is transphobic and people want him to die in a car crash with hammers flying everywhere and multiple explosions (or something like that)

if you can't donate, signal boost! reblog!

also if you want some tally hall blogs to follow, consider @sincerecinnamon, @edgingattheedgeofauniverse, @pigeoninabowl69 (a lot of spanish tho) and their side blog @hawaiipartyii (all english), @queeniesretrozone (although they don't interact with tally hall stuff much anymore, they're still nice), @aquakatdraws, and those people's mutuals as well!

the harry potter fandom on here has a lot of TERFs, so tread carefully

people love supernatural, dr who, sherlock holmes, good omens, and hazbin hotel (at least from my experience)

i'm sure there are better guides out there, but this is hopefully a good start! ^_^

sheeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeesh

[brunhildeelke]

Why Should We Consider Using Predictive Analysis in Travel?

This is a combination of past data along with present-day data, artificial intelligence and statistical models to forecast customers' expectations and market conditions in the travel industry. It is an evolutionary transformative approach that assists travel businesses in performing efficiently and providing customers with solutions tailored to their needs.

How Does Predictive Analysis Work in the Travel Industry?

The concept of predictive analysis for the travel industry is the use of complex patterns and statistical information from the past to estimate future actions, behaviors, and trends of consumers. The benefits of this technology are, therefore, increased efficiency of resource use and improved customer experience and revenue.

What Predictive Analytics is used in the Travel Industry?

Analytical models and artificial intelligence are incorporated with statistical methods in predictive analytics to analyze data about the past and the present in the travel industry. This enables travel companies to forecast customer requirements and market development and even enhance their organizational effectiveness.

Data-Driven Decision-making Significance & Impact in Travels

This business intelligence tool guides travel organizations in making the right strategies by examining past customer data, market situations, and external circumstances such as climate or economic circumstances. This makes it possible for businesses to maintain their flexibility in highly competitive business environments.

Personalization Using Forecasting

Personalization is one of the main uses of predictive analytics. An understanding of customers’ needs helps travel businesses decide on such strategies as marketing messages, promotional destination suggestions, and variable high/low price options.

Improving Company’s Performance

Sensitivity to operational efficiency is another advantage. Airlines forecast their maintenance requirements so that unnecessary airplane out-of-service time is minimized whilst optimizing employees in a hotel to suit expected room use, leading to better service delivery and cost efficiency.

What are examples of predictive analytics in travel?

Several cases of Predictive Analysis in Travel reflect its applicability to various business issues, including the pricing strategy along with customer acceptance. Here are some details of this application across the industry.

Dynamic Pricing Strategies

Pricing for products or services is continually changing to meet the demand, influenced by features such as time of year, customer preferences, and trends. This happens in air ticketing services and hotel reservations.

Predicting Travel Demand

Predictive analytics relies on historical information as well as inputs received in real time to predict the demand for individual places or services. It enables travel companies to plan inventory and marketing ahead of time.

Customer Retention Analysis

Travel organizations apply big data techniques to switch customers who are likely to churn, and they do that by offering special loyalty programs or individual offers.

Managing Operational Risks

Aviation managers and transportation companies use forecasting techniques to prevent possible disasters like weather disturbances or equipment breakdowns and ensure a proper flow of operations.

Marketing Campaign

They aid marketing to get the optimum value for the amount invested to reach audiences that are likely to respond to a given campaign.

What Is AI for Predictive Analytics in Travel?

AI for predictive analytics in travel aims to analyze large volumes of data and extract patterns and insights that are useful in predicting travel trends. This is because it allows the business to double the ways through which it can better deliver, operate, and even forecast the market far better than any conventional.

What Are the Use Cases of Predictive Analysis in Travel?

Examples of the application of predictive analytics across the travel industry range from operational optimization to engagement. Looking at the data, challenges, and opportunities can be identified, and travel companies can then respond.

Airline Flight Plan / Flight Path Optimization

Predictive analytics helps airline companies fix the best routes and time to save costs and satisfy their customers.

Customer loyalty programs as a concept

Travel companies use the predictive model to create efficiencies in loyalty programs that appeal to regular traveling clientele.

The art of destination marketing needs to be enhanced.

Marketing departments within tourism boards and travel companies look for trends in data for the best places tourists are likely to visit when spending their money on travel and then market accordingly to avoid wasting the most amount of money on a particular place that no one wants to visit.

Conclusion: How Predictive Analysis Shapes the Travel Industry

The broad concept of using advanced data analysis to drive better decision-making, improve customer satisfaction, and improve operational performance has reshaped the travel industry. This is a strategy that enables a business entity to forecast the market needs and allocate resources in an appropriate manner to be in a position to design and deliver unique products to the market, hence very relevant to the current market environment.

However, in the future, as the industry moves forward, predictive analytics will be of higher importance when facing some of the issues, including demand volatility, organizational inefficiencies, and customer loyalty. Drawing upon the concepts of AI and machine learning, travel firms can forecast developments, control possible adverse effects, and ultimately tap into new sources of revenue.

[iviarellereads]

Exit Strategy, Chapter 5

(Curious what I'm doing here? Read this post! For the link index and a primer on The Murderbot Diaries, read this one! Like what you see? Send me a Ko-Fi.)

In which the long-awaited friend returns to us.

When the transit pipe with GrayCrisSec and Dr. Mensah arrived, I was in a pod, paused and ready.

Murderbot finds the team, and they have their own SecUnit, with armour. Still, this is probably do-able. Looking at the hotel's transit station, with its holographic displays, MB gets an idea and files it for later.(1) It follows the group on cameras, six plus the SecUnit and Mensah. Two peel off to take other positions, leaving the main target (SecUnit) and four secondaries.

SecUnits with intact governor modules can't hack like MB can without getting punished. This one has a Palisade logo on the proprietary-brand armour, but no drones. It doesn't try to hack it, like it did the ComfortUnit with Art's help, just in case it fails, and the unit reports it.

MB taps Mensah's implant, and says it's here. Mensah asks for its name as proof. It knows the conversation footage was deleted, so it gives her the real one: Murderbot. She asks what it's doing here, believing it had been captured. MB says it came to help, and tells her the three others are waiting with a company shuttle. It asks if Mensah will give it permission to proceed with extraction.

She doesn't hesitate to say yes.

MB puts her feed on the back burner after acknowledging, and then double checks the schematics and the camera feeds. It's not sure it could have done this before Milu stretched its limits. Still, it can't screw this up.(2)

Redirecting its own pod to a specific junction, MB calls the pod with Mensah in it to the same location, and tells her to drop as it takes out the goons and takes on the other SecUnit, the Primary Target. After a fight sequence, it incapacitates them all, and leaves with Mensah in the pod, going back to the hotel's station. It takes that idea from earlier, instructing Mensah how to stay out of its way, and enacts another action sequence. They move on to the next obstacle.(3)

Mensah asks if the company is helping. MB says no, and explains the payoff to keep them from docking, and how the Preservation team came anyway.

From the security camera systems, MB realizes that GrayCris know where they are and what they're doing. MB initiates an emergency disembark of the capsule, making sure Mensah lands safely by wrapping itself around her. It consults the maps and finds another way out. They get in another pod, going down to the maintenance section, and an access backbone to the whole station. There, they take a cargo carrier out.

On the way, MB asks if Mensah is alright. She says she is, and very glad to see it. MB, however, can confirm there are more creases at her eyes since they last met. It's not sure how to go about comforting people, but it tells Mensah that she can hug it, if she needs to. She laughs, and her face does "something complicated", and she does so. MB raises its temperature output, and tries to think of it as first aid.

Except it wasn’t entirely awful. It was like when Tapan had slept next to me in the room at the hostel, or when Abene had leaned on me after I saved her; strange, but not as horrific as I would have thought.

Mensah says it was MB at Milu, and MB confirms, though it was an accident. Which part, asks Mensah. MB says, most of it. She asks if it said she sent it, and it says no, it impersonated a fake client. She asks why it went to Milu, and it says, because it wanted to help her by getting evidence of the illegal activity. That's not its whole reason, but it doesn't reveal its conflicted feelings. Mensah, for her part, says she'll try to remember that next time she gives an interview off the cuff. She asks whether it got the data, and it confirms it did, but it mailed it to her family on Preservation before it came to rescue her.

Murderbot awkwardly admits that it left. Mensah says she handled it badly. MB says Pin-Lee told it Mensah was worried. She admits she was, she was afraid MB would be caught, but she should have had more confidence in it. MB isn't sure it would go that far, but before it can have too many emotions, its map monitor alerts that they're nearing the port.

=====

(1) That's one way to tell us This Is Foreshadowing. (2) I want to get into the semantics of what is being said literally (if I fail, Mensah dies, so failure is not allowed) compared to the alternate meaning of the phrase (it is impossible to fail this). I point this out, because this being a story, we know that the latter is also true, since it would mean Murderbot died and this would be the end of the book, and the series. It's a fun play on words. (3) I debated cutting all the travel down to "they move from one obstacle to the next" and just elaborating on their conversations between action sequences, but I couldn't find the right spot to do it and leave the vibes intact.

[reviewgatorsusa]

How Web Scraping TripAdvisor Reviews Data Boosts Your Business Growth

Are you one of the 94% of buyers who rely on online reviews to make the final decision? This means that most people today explore reviews before taking action, whether booking hotels, visiting a place, buying a book, or something else.

We understand the stress of booking the right place, especially when visiting somewhere new. Finding the balance between a perfect spot, services, and budget is challenging. Many of you consider TripAdvisor reviews a go-to solution for closely getting to know the place.

Here comes the accurate game-changing method—scrape TripAdvisor reviews data. But wait, is it legal and ethical? Yes, as long as you respect the website's terms of service, don't overload its servers, and use the data for personal or non-commercial purposes. What? How? Why?

Do not stress. We will help you understand why many hotel, restaurant, and attraction place owners invest in web scraping TripAdvisor reviews or other platform information. This powerful tool empowers you to understand your performance and competitors' strategies, enabling you to make informed business changes. What next?

Let's dive in and give you a complete tour of the process of web scraping TripAdvisor review data!

What Is Scraping TripAdvisor Reviews Data?

Extracting customer reviews and other relevant information from the TripAdvisor platform through different web scraping methods. This process works by accessing publicly available website data and storing it in a structured format to analyze or monitor.

Various methods and tools available in the market have unique features that allow you to extract TripAdvisor hotel review data hassle-free. Here are the different types of data you can scrape from a TripAdvisor review scraper:

Hotels

Ratings

Awards

Location

Pricing

Number of reviews

Review date

Reviewer's Name

Restaurants

Images

You may want other information per your business plan, which can be easily added to your requirements.

What Are The Ways To Scrape TripAdvisor Reviews Data?

TripAdvisor uses different web scraping methods to review data, depending on available resources and expertise. Let us look at them:

Scrape TripAdvisor Reviews Data Using Web Scraping API

An API helps to connect various programs to gather data without revealing the code used to execute the process. The scrape TripAdvisor Reviews is a standard JSON format that does not require technical knowledge, CAPTCHAs, or maintenance.

Now let us look at the complete process:

First, check if you need to install the software on your device or if it's browser-based and does not need anything. Then, download and install the desired software you will be using for restaurant, location, or hotel review scraping. The process is straightforward and user-friendly, ensuring your confidence in using these tools.

Now redirect to the web page you want to scrape data from and copy the URL to paste it into the program.

Make updates in the HTML output per your requirements and the information you want to scrape from TripAdvisor reviews.

Most tools start by extracting different HTML elements, especially the text. You can then select the categories that need to be extracted, such as Inner HTML, href attribute, class attribute, and more.

Export the data in SPSS, Graphpad, or XLSTAT format per your requirements for further analysis.

Scrape TripAdvisor Reviews Using Python

TripAdvisor review information is analyzed to understand the experience of hotels, locations, or restaurants. Now let us help you to scrape TripAdvisor reviews using Python:

Continue reading https://www.reviewgators.com/how-web-scraping-tripadvisor-reviews-data-boosts-your-business-growth.php

[anyroads]

#this is how it feels to be on tiktok#every video is secretly an ad somehow and theyre so good at hiding it u don't find out until the wnd#end*

This post has way too many notes and they've been clogging up my notifs for a month, but these are the first ones I've seen that Get It. Thank you. This is exactly it.

I wasn't talking about the absurdity of companies trying to advertise cars or vacations that no one can afford, like everyone in the notes seems to think. There are plenty of people who can afford them. Fewer than there used to be, but corporations aren't starving.

I was talking about the invasive way advertisers have taken over every modicum of available space and how it's no longer possible to turn anywhere without advertising being pushed on you, despite the fact that most people don't have the kind of expendable income that these companies are trying to extract from them. The less money the average person has to throw around, the more aggressively they're hounded to hand it over. Where people used to be able to afford a new car and a vacation and still throw expendable income around, they now save up for one or another big purchase (those who can afford one, and that population has significantly dwindled). People limit their other spending, and in response companies descend on our consciousness, on every last bit of space they can squeeze their presence into, like pigeons onto a handful of seeds thrown on the ground.

You have to sit through advertisements to watch something on youtube only to realize the video is, itself, an ad in disguise. You can't pump gas without a little screen blaring at you wanting you to buy things. Billboards and bus benches weren't enough, they have to be energy gobbling screens now so five companies can sell you shit while you wait instead of just one. Every available surface is screaming at you to BUY THE THING. Where you used to be able to play a game on your phone, now you can't get through more than a round of any without having to sit through ads to keep playing. Ads that are pushing other games to you that have more ads. Games based on making working class jobs look fun. Be a barista and fulfill every order or the customers will be angry! Lolololol! Work at a hotel and don't fail, making the demanding customer angry is failing don't fail! Hahahahahahahaaahaaaaahaaaaaaaa it's fun! Run a farm and make money to buy more things to grow and sell to make money to buy more things to grow and sell to make more money to buy more things to grow and sell and and and! Even in your free time you should be thinking about your place in the market economy! Or worse, they're ads for predatory games, whether they're "play our game and win real money!" bullshit or "doctors want you to play this to avoid alzheimer's [if you're old play this game where we'll exploit your confusion about technology to sell you more things.]"

Every free moment you have, every free surface you come across is another opportunity to sell you something. We aren't able to get a break from it in our free time in our own home unless we constantly take steps and make effort to, like installing ad blockers - which youtube and other websites are constantly working against - but those don't even work on your phone or tablet. And the closer to home the advertisement, the more it targets you specifically, because your personal devices, that should be your personal, intimate, private property and space, are exploited to collect data on you to wrench every last cent from your wallet. They want to get to know you, not because they're curious about you, but because they want your money. They don't just see you as a wallet with thumbs, they do so unabashedly and brazenly and aggressively.

This post wasn't about the content of what's being advertised to us. It was about the relentless, instrusive aggression with which advertising invades our privacy and personal space and every inch of public space. We are exposed to hundreds of images daily, none of which are art or even remotely creative or inspiring, but instead demand our attention and our money while ignoring that both have been stripped bare by the mere need to exist from one day to the next.

This post was about the insidious way advertising has embedded itself into culture and consciousness, so much so that in a post trying to call this out, most people's immediate reaction is, "yes, the problem is that I can't afford the thing being advertised" and not "why can't I go three seconds without being advertised to" in the first place. That advertisers continue to pour money into new ways to insert themselves into the average person's life when it's absolutely fucking pointless.

Something so profoundly fucked up between the inverse ratio of shrinking middle class and ever increasing aggression of advertisement

[koronkowy]

Summary

🔐 Breaking into an encrypted phone Joe Grand, a hardware hacker, attempts to help Lavar access a long-forgotten Bitcoin wallet stored on an old Samsung phone. The stakes are high, potentially holding millions of dollars.

🧪 Multi-phase technical operation The process involves identifying the swipe pattern that unlocks the phone. Joe first attempts to extract memory through a JTAG interface—a slow and risky procedure—but essential due to the security measures on the device.

🔧 Technical roadblocks and adaptive strategy The original cable fails, leading Joe to use a hardwired soldering technique to connect the JTAG interface directly to the phone. This involves meticulous micro-soldering under pressure in a hotel room, showcasing deep technical skill and adaptability.

🧮 Swipe pattern cracked After successfully reading the phone’s memory, Joe identifies the encrypted gesture file and uses a precomputed database of swipe pattern hashes. The correct pattern is revealed to be a simple "2589", which surprisingly Lavar had never tried.

💸 Mixed emotional climax They access the phone and find the Bitcoin wallet—only to discover it contains far less than expected. The initial estimate of millions turns out to be a misunderstanding due to incorrect memory of the purchase date (2016, not 2013), and most of the original Bitcoin was routed through a now-defunct service.

🤝 Reflections and hope Though financially disappointing, the experience is rich in emotional depth. It explores themes of trust, perseverance, technical excellence, and human connection. A second wallet remains to be explored, keeping a glimmer of hope alive.

📊 Insights Based on Numbers

16 GB: Size of the binary memory dump Joe had to process—illustrates the complexity and volume of raw data he dealt with.

Over 20 hours: Time the memory read could take—emphasizes the endurance and patience required.

$400 (2016 investment): The actual Bitcoin investment turns out to be smaller than expected, highlighting how memory and assumptions can skew perceived value.

75 mBTC (~$1,800–2,000): What was recovered—much less than imagined, but not zero.

One swipe pattern: Matched from a massive database of gestures, demonstrating the precision of Joe's method.

[samsotechidae]

Samsotech is not just a system development company. It is a technological organism embedded in the reality of the UAE hotel business. Here, documents cease to be paper, but become data. A passport? An identity card? Insert it, and the system will do the rest. No pause, no unnecessary movements, no mistakes. The kiosk in the lobby is open 24/7, like a watchman without fatigue.

Inside is a powerful authentication software. MRZ, VIZ, QR code, RFID module, optical text recognition, automatic data extraction, character recognition, image comparison, face photo — all elements act synchronously. Identification and verification of a person takes place on the fly, with an accuracy approaching absolute. The API and SDK allow you to seamlessly integrate the system into any hotel solution. Adaptive lighting, infrared and ultraviolet illumination provide visual control in all conditions — day, night, noise, movement, whatever.

Every process is protected. Encryption, digital authenticity, anti-photoshop, fraud protection. After registration, the data is deleted. There is nothing superfluous. Only the result. The front office is connected. The system scans, verifies, checks, and monitors. Electronic gates, self—service, local processing, remote scanning - everything is controlled by an integrated computer.

Samsotech is when registration becomes a technology. Not a favor. Not in a routine. It's about confidence.

[arctechnolabs1]

Google Flights Hotels Datasets - Extract Google Flights Hotels Data

ArcTechnolabs provides detailed Google Flights Hotels Datasets featuring hotel pricing, reviews, and booking insights to drive smarter travel decisions.

[sciativesolution]

Hotel Competitor Analysis: A Complete Guide for Revenue Management

Introduction

The hospitality industry is evolving rapidly, and hotel competition is fiercer than ever. Hotels that fail to adapt to market trends, guest expectations, and competitor pricing strategies risk losing market share and revenue. This is where hotel competitor analysis becomes a game-changer. It delivers crucial insights into dynamic pricing in hospitality, occupancy rates, hotel marketing strategies, and guest experience trends.

A comprehensive competitive intelligence strategy empowers hoteliers to improve offerings, optimize revenue, and outperform rivals. In this guide, we’ll explore what hotel competitor analysis is, why hotel revenue management needs it, how to identify your competitors, how AI in hospitality transforms it, and how a pricing intelligence tool like Zettaprice can help.

What is Hotel Competitor Analysis?

Hotel competitor analysis is the process of collecting, monitoring, and analyzing data about hotels that compete in the same market. The goal is to understand their pricing models, revenue strategies, customer reviews, and marketing campaigns to fine-tune your hotel’s positioning.

Key components include:

Identifying direct and indirect hotel competitors

Tracking hotel pricing strategies and discounts

Monitoring hotel online reputation management

Studying distribution channels and OTA strategies

Analyzing service offerings, amenities, and guest feedback

Understanding the competitive landscape helps hotels use revenue optimization software and hotel pricing software to make data-driven decisions.

Why is Competitive Intelligence Crucial in the Hotel Industry?

1. Optimize Hotel Pricing Strategy

Hotel pricing must adapt to changing demand. With competitive pricing analysis, hotels can monitor real-time rates and adjust prices dynamically to stay competitive and profitable.

Example: If a competitor lowers prices due to low occupancy, a hotel can use dynamic hotel pricing software to decide whether to match, undercut, or enhance value instead.

2. Improve Guest Experience Using Competitor Insights

Travelers rely heavily on hotel reviews and social proof. Analyzing competitor feedback on platforms like TripAdvisor or Google Reviews reveals service gaps and improvement opportunities.

Example: If a rival gets poor feedback on slow check-ins, your hotel can highlight faster check-ins as a USP.

3. Boost Hotel Occupancy Rates

Understanding when and why competitors have high occupancy helps shape demand-based pricing, seasonal promotions, and value-added packages.

Example: During local festivals, if a competitor fills rooms quickly, create festival-centric offers and promote via hotel digital marketing.

4. Gain Competitive Edge

Competitive intelligence tools allow hotels to anticipate market changes and guest preferences. They help adopt sustainable travel trends, tailor hospitality pricing strategies, and offer exclusive services to stand out.

How to Identify Your Hotel Competitors?

1. Direct Competitors

These are hotels with similar pricing, amenities, customer base, and location.

2. Indirect Competitors

Alternatives like Airbnb, serviced apartments, or boutique stays that target similar travelers.

3. Aspirational Competitors

Premium or luxury hotels you benchmark against for innovation and service excellence, even if they’re in a different tier.

4. Emerging Competitors

New entrants, renovated properties, or tech-savvy competitors implementing AI hotel technology or automated pricing tools.

How AI Transforms Hotel Competitive Intelligence

1. Real-Time Hotel Price Tracking

AI-powered price intelligence tools like Zettaprice analyze rates across OTAs, metasearch engines, and direct websites. Hotels can instantly react to pricing changes and optimize rates for profitability.

2. Guest Sentiment Analysis

AI interprets thousands of guest reviews, extracting key sentiments around service, cleanliness, amenities, and staff behavior.

Example: If competitor reviews mention poor room cleanliness, you can highlight your hotel’s hygiene standards in marketing.

3. Accurate Demand Forecasting

Using AI, hotels can predict future demand by analyzing booking patterns, event calendars, weather, and economic indicators—resulting in precise rate recommendations and revenue management automation.

4. Marketing Intelligence

AI tracks competitors' digital advertising efforts, SEO keywords, social media campaigns, and content strategy. Hotels can replicate successful tactics or pivot to underserved channels.

5. Automation for Efficiency

AI replaces manual tracking with dashboards, real-time alerts, and hotel business intelligence tools—saving time and increasing decision-making speed.

How Zettaprice Enhances Hotel Competitor Analysis

Zettaprice is an AI-powered hotel pricing optimization tool designed to automate and enhance competitive rate analysis. It enables:

Real-time competitor price tracking

Dynamic rate recommendations

Historical trend analysis

Seamless integration with OTAs and PMS

Actionable insights through automated dashboards

By using Zettaprice’s pricing intelligence, hotels can reduce revenue leakage, adapt faster to market shifts, and improve RevPAR (Revenue per Available Room).

👉 Outsmart the competition — See Zettaprice in action!

Conclusion

Hotel competitor analysis is no longer optional—it’s essential for success in today’s data-driven hospitality landscape. By leveraging AI-driven pricing software, competitive benchmarking, and guest sentiment analysis, hoteliers can make smarter, faster decisions. Tools like Zettaprice give your property the edge to thrive in competitive markets, elevate guest satisfaction, and unlock sustained profitability.                                                                                                         

To know more visit- https://sciative.com/research-articles/hotel-competitor-analysis-a-complete-guide

[tomasgilresearcher]

Mushroom Market Report: Trends, Growth Projections, and Industry Analysis

The Mushroom Market Report presents a detailed analysis of the current state and future prospects of the global mushroom industry. As health consciousness grows worldwide and plant-based diets gain popularity, the mushroom market has witnessed robust growth. According to the latest data, the global mushroom market size reached approximately USD 68.03 Billion in 2024. With a projected Compound Annual Growth Rate (CAGR) of 8.00% from 2025 to 2034, the market is expected to attain a value of USD 146.87 Billion by 2034.

This comprehensive Mushroom Market Report explores key trends, growth drivers, segment analysis, and market forecasts, offering valuable insights for investors, producers, and stakeholders.

Key Drivers Fueling the Mushroom Market Growth

Rising Demand for Functional and Nutritional Foods

One of the primary forces driving the mushroom market is the increasing demand for functional foods with high nutritional value. Mushrooms are rich in essential nutrients like vitamins (especially B-complex), fiber, protein, antioxidants, and minerals. Additionally, they are low in calories and cholesterol-free, making them a favorite among health-conscious consumers.

This shift in dietary preferences is a significant contributor to the impressive figures reported in the Mushroom Market Report, as more people seek natural, organic, and immune-boosting food options.

Growth of the Vegan and Plant-Based Movement

The expansion of the plant-based food industry has also played a pivotal role in boosting the mushroom market. Mushrooms are a popular meat substitute due to their texture and umami flavor. Products such as mushroom burgers, mushroom jerky, and mushroom-based meat alternatives are gaining traction among vegan and vegetarian consumers.

The Mushroom Market Report highlights how consumer trends are evolving, especially in North America and Europe, where plant-based diets are surging.

Increasing Use in Pharmaceuticals and Cosmetics

Beyond culinary uses, mushrooms are increasingly being recognized for their medicinal properties. Varieties like reishi, lion’s mane, and chaga are now being utilized in pharmaceutical formulations for their potential to enhance cognitive function, reduce inflammation, and boost immunity. The cosmetic industry is also tapping into mushroom extracts for their hydrating and anti-aging benefits.

These applications further broaden the scope of the market and add momentum to the growth projections highlighted in this Mushroom Market Report.

Mushroom Market Segmentation Analysis

The Mushroom Market Report divides the global industry into several key segments to better understand its dynamics:

By Type:

Button Mushrooms: The most widely consumed variety, dominating the market due to affordability and wide availability.

Shiitake Mushrooms: Valued for their meaty texture and medicinal properties.

Oyster Mushrooms: Popular for their delicate taste and easy cultivation.

Other Exotic Mushrooms: Including enoki, maitake, reishi, and lion’s mane, these are increasingly sought after for functional food and wellness applications.

By Form:

Fresh Mushrooms: Hold the largest market share due to their direct use in cooking.

Processed Mushrooms: Including dried, frozen, and canned forms, these are gaining popularity due to longer shelf life and ease of transport.

By Distribution Channel:

Supermarkets and Hypermarkets

Specialty Stores

Online Retail

Food Service and HoReCa (Hotel/Restaurant/Catering) Sectors

With the rising popularity of e-commerce and doorstep delivery services, the online segment is expected to witness substantial growth, as highlighted in the Mushroom Market Report.

Regional Insights from the Mushroom Market Report

Asia Pacific: Leading the Global Market

According to the Mushroom Market Report, Asia Pacific holds the largest share in the global mushroom market. Countries like China, India, and Japan are leading producers and consumers. China, in particular, dominates both production and export, thanks to favorable climatic conditions, technological advancements in cultivation, and widespread culinary usage.

North America and Europe: Rapidly Growing Markets

The markets in North America and Europe are expanding rapidly due to heightened consumer awareness regarding the health benefits of mushrooms and the rising popularity of functional foods. The increasing adoption of plant-based diets in these regions has significantly boosted demand.

In the United States, mushroom farming is becoming more specialized, with an emphasis on organic and exotic varieties. Similarly, in Europe, sustainability and clean-label trends are pushing consumers toward mushrooms as a preferred food source.

Challenges and Opportunities in the Mushroom Market

While the outlook is largely positive, the Mushroom Market Report also outlines certain challenges that could impact future growth:

Perishability: Fresh mushrooms have a limited shelf life, making storage and transportation difficult.

Lack of Infrastructure: In many developing regions, poor post-harvest handling and inadequate cold-chain logistics affect quality and export potential.

Labor-Intensive Cultivation: Mushroom farming requires significant manual labor, which can be a bottleneck for scaling operations.

However, these challenges also present opportunities for innovation. Advances in controlled environment agriculture (CEA), vertical farming, and automated harvesting technologies are set to revolutionize mushroom cultivation and mitigate these issues.

Future Outlook and Market Forecast

The global mushroom industry is poised for robust expansion. With growing awareness of health and wellness, mushrooms are emerging as a cornerstone of the global shift toward sustainable, nutritious, and plant-based diets.

The Mushroom Market Report projects that by 2034, the market will nearly double in size, reaching USD 146.87 Billion, up from USD 68.03 Billion in 2024. This significant growth—driven by innovation, dietary shifts, and expanding applications in health and wellness—is a testament to the bright future of the mushroom industry.

Conclusion

This Mushroom Market Report provides a comprehensive view of the sector’s current dynamics and long-term prospects. With increasing consumer demand for nutritious, sustainable, and versatile food sources, mushrooms are well-positioned to become a key component of global diets.

As industries ranging from food and beverage to pharmaceuticals and cosmetics continue to integrate mushrooms into their products, stakeholders can expect ample opportunities for investment, innovation, and expansion in the years ahead.

[datascraping001]

Extract Google Hotel Reviews and Ratings

Extract Google Hotel Reviews and Ratings

Extract Google Hotel Reviews and Ratings with DataScrapingServices.com: Unlocking Insights for Hospitality Success. In the hospitality industry, customer reviews and ratings play a crucial role in shaping a hotel’s reputation. For businesses in the travel and hospitality sector, it’s essential to gather and analyze reviews to understand customer sentiments and improve service offerings. DataScrapingServices.com offers comprehensive Google Hotel Reviews and Ratings Extraction services that provide valuable data for hotels, travel agencies, and industry analysts. By extracting this information, you can gain actionable insights to enhance your hotel’s offerings, track competitor performance, and improve customer satisfaction.

List of Data Fields

Our Google Hotel Reviews and Ratings Extraction service covers a wide range of data fields that are crucial for a thorough analysis of hotel performance. These include:

1. Hotel Name

2. Customer Name

3. Review Text

4. Star Rating

5. Review Date

6. Reviewer Location

7. Reviewer Profile Link

8. Review Response (if available)

9. Overall Hotel Rating

10. Review Sentiment Analysis (optional)

These data points provide a comprehensive understanding of what customers are saying about a hotel, how they rate their experience, and whether the hotel management is responding to feedback.

Benefits of Extracting Google Hotel Reviews and Ratings

1. Improved Customer Satisfaction 

By analyzing reviews and ratings, hotels can gain insights into what customers like or dislike about their stay. This enables hotel management to make necessary improvements in services, amenities, and overall guest experience. Addressing common concerns or praises can help improve future reviews and ratings.

2. Competitive Analysis 

Google Hotel Reviews and Ratings Extraction can be used not only to track your own hotel’s performance but also to monitor competitors. By understanding how rival hotels are performing in terms of customer satisfaction, you can identify opportunities to stand out in the market.

3. Data-Driven Decision Making 

With access to detailed customer feedback, hotels can make informed decisions about everything from staffing levels to new amenities. This data helps pinpoint what customers value most, allowing hotels to prioritize upgrades and service enhancements that will have the most significant impact on guest satisfaction.

4. Reputation Management 

Having real-time access to reviews and ratings allows hotels to manage their online reputation effectively. Regular monitoring of reviews gives businesses the opportunity to respond quickly to negative feedback and reinforce positive experiences.

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For hotels looking to stay competitive and improve guest satisfaction, Google Hotel Reviews and Ratings Extraction is an invaluable tool. At DataScrapingServices.com, we provide a powerful solution for extracting and analyzing this critical data, helping hotels optimize their services and enhance their online reputation. If you’re ready to harness the power of customer feedback, contact us today at info@datascrapingservices.com or visit Datascrapingservices.com for more information.

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