#Food Menu Data

[foodspark-scraper]

Competitor Price Monitoring Services - Food Scraping Services

Competitor Price Monitoring Strategies

Price Optimization

If you want your restaurant to stay competitive, it’s crucial to analyze your competitors’ average menu prices. Foodspark offers a Competitor Price Monitoring service to help you with this task. By examining data from other restaurants and trends in menu prices, we can determine the best price for your menu. That will give you an edge in a constantly evolving industry and help you attract more customers, ultimately increasing profits.

Market Insights

Our restaurant data analytics can help you stay ahead by providing valuable insights into your competitors’ pricing trends. By collecting and analyzing data, we can give you a deep understanding of customer preferences, emerging trends, and regional variations in menu pricing. With this knowledge, you can make informed decisions and cater to evolving consumer tastes to stay ahead.

Competitive Advantage

To stay ahead in the restaurant industry, you must monitor your competitors’ charges and adjust your prices accordingly. Our solution can help you by monitoring your competitors’ pricing strategies and allowing you to adjust your expenses in real-time. That will help you find opportunities to offer special deals or menu items to make you stand out and attract more customers.

Price Gap Tracking

Knowing how your menu prices compare to your competitors is essential to improve your restaurant’s profitability. That is called price gap tracking. Using our tracking system, you can quickly identify the price differences between restaurant and your competitors for the same or similar menu items. This information can help you find opportunities to increase your prices while maintaining quality or offering lower costs. Our system allows you to keep a close eye on price gaps in your industry and identify areas where your expenses are below or above the average menu prices. By adjusting your pricing strategy accordingly, you can capture more market share and increase your profits.

Menu Mapping and SKU

Use our menu and SKU mapping features to guarantee that your products meet customer expectations. Find out which items are popular and which ones may need some changes. Stay adaptable and responsive to shifting preferences to keep your menu attractive and competitive.

Price Positioning

It’s essential to consider your target audience and desired brand image to effectively position your restaurant’s prices within the market. Competitor data can help you strategically set your prices as budget-friendly, mid-range, or premium. Foodspark Competitor Price Monitoring provides data-driven insights to optimize your pricing within your market segment. That helps you stay competitive while maximizing revenue and profit margins.

Competitor Price Index (CPI)

The Competitor Price Index (CPI) measures how your restaurant’s prices compare to competitors. We calculate CPI for you by averaging the prices of similar menu items across multiple competitors. If your CPI is above 100, your prices are higher than your competitors. If it’s below 100, your prices are lower.

Benefits of Competitor Price Monitoring Services

Price Optimization

By continuous monitoring your competitor’s prices, you can adjust your own pricing policies, to remain competitive while maximizing your profit margins.

Dynamic Pricing

Real-time data on competitor’s prices enable to implement dynamic pricing strategies, allowing you to adjust your prices based on market demand and competitive conditions.

Market Positioning

Understanding how your prices compare to those of your competitors helps you position your brand effectively within the market.

Customer Insights

Analyzing customer pricing data can reveal customer behavior and preferences, allowing you to tailor your pricing and marketing strategies accordingly.

Brand Reputation Management

Consistently competitive pricing can enhance your brand’s reputation and make your product more appealing to customers.

Content Source: https://www.foodspark.io/competitor-price-monitoring/

[racke7]

It's more than an hour past my bedtime but I FUCKING DID IT!

[vaguelymellowharmony]

Realigning Food Delivery Market Moves with Precision Through Glovo Data Scraping

Introduction

This case study highlights how our Glovo Data Scraping solutions empowered clients to monitor food delivery market trends strategically, refine service positioning, and execute agile, data-backed business strategies. Leveraging advanced scraping methodologies, we delivered actionable market intelligence that helped optimize decision-making, elevate competitiveness, and drive profitability.

Our solutions offered a clear strategic edge by enabling end-to-end visibility into the delivery ecosystem to Extract Food Delivery Data. This comprehensive insight allowed clients to fine-tune service models, sharpen market alignment, and achieve consistent revenue growth through accurate competitor benchmarking in the fast-moving food delivery sector.

The Client

A mid-sized restaurant chain operating across 75+ locations with a rapidly expanding digital footprint reached us with a critical operational challenge. Although the brand enjoyed strong recognition, it faced a noticeable drop in customer engagement driven by gaps in delivery service efficiency. To address this, Glovo Data Scraping was identified as a strategic solution, as service inconsistencies directly impacted their revenue goals and competitive position.

With a broad menu and widespread delivery zones, the restaurant struggled to manage delivery logistics, especially during peak hours when quick shifts in demand required fast action. Their manual approach failed to support Real-Time Glovo Data Scraping, leading to missed revenue opportunities and weakening customer loyalty.

Recognizing the need to refine their delivery strategy, the management team saw that without proper visibility into Glovo’s delivery ecosystem, they lacked the insights necessary for efficient operations and practical customer experience management.

Key Challenges Faced by the Client

In their pursuit of stronger delivery market intelligence and a sharper competitive edge, the client faced several operational and strategic hurdles:

Market Insight Shortage

Limited insights into Glovo's platform and competitors made scraping Glovo Delivery Information difficult, preventing effective market analysis necessary for informed business decisions.

Slow Response Adaptation

Reliance on manual weekly evaluations slowed the restaurant chain's ability to act quickly. Without Glovo Delivery Data Extraction, adapting to real-time market changes became a challenge.

Demand Forecasting Gap

Traditional methods failed to account for real-time delivery data. The restaurant chain needed Glovo Product Data Extraction to predict demand and adjust services based on emerging trends accurately.

Manual Process Overload

Labor-intensive processes hindered efficient service decisions. By applying methods to Scrape Glovo For Product Availability And Pricing, the restaurant chain sought automation to optimize service delivery.

Service Consistency Issue

Inconsistent service quality across zones presented a problem. They required Mobile App Scraping Solutions to streamline operations and ensure consistent service delivery across all customer touchpoints.

Key Solutions for Addressing Client Challenges

We implemented cutting-edge solutions to the client's challenges, combining delivery intelligence with advanced analytics.

Delivery Optimization Engine

We built a centralized platform that leverages Real-Time Glovo Delivery Time Data Extraction to collect live data from various restaurants and delivery zones, enabling efficient decision-making.

Competitor Monitoring System

Our system, designed to Extract Restaurant Menus And Prices From Glovo, quickly identifies service gaps when competitors adjust, giving restaurant chains the edge to adapt promptly.

Dynamic Market Signals

By integrating multiple delivery signals, such as peak hours and weather, with Glovo Scraping For Restaurant Delivery Services, we created flexible models that adjust to market fluctuations.

Automated Service Recommender

Using Real-Time Glovo Data Scraping, we implemented an automated engine that generates service suggestions based on customer feedback and competitive positioning, reducing the need for manual input.

Strategic Adjustment Mechanism

Competitor promotions directly influence our service strategies by using tools to Extract Food Delivery Data, optimizing delivery times and fees while ensuring premium offerings remain profitable.

Cloud-Based Monitoring Hub

A robust Mobile App Scraping Solution enables managers to access and update delivery data remotely, facilitating continuous optimization and transforming strategy management into a dynamic process.

Key Insights Gained from Glovo Data Scraping

Service Elasticity Analysis Revealed delivery time sensitivity across different menu items, offering immediate operational optimization opportunities.

Competitive Positioning Patterns Provided insights into neighborhood-specific delivery differences, supporting targeted service improvements.

Pricing Cycle Optimization Illuminated optimal fee adjustment timing for different meal categories, aiding in more strategic revenue management.

Data-Driven Service Decisions Enabled the implementation of adaptive delivery models based on competitive positioning patterns.

Benefits of Glovo Data Scraping From Retail Scrape

Strategic Boost

By utilizing solutions to Scrape Glovo Delivery Information, the client improved delivery strategies, positioning their services for maximum value, enhancing market responsiveness to competitive shifts.

Loyalty Growth

Using competitor service insights, the client predicted market trends and strengthened customer retention, employing to Extract Glovo Product Data to stay ahead of shifts in demand.

Efficient Operations

The client minimized manual efforts by employing advanced Real-Time Glovo Delivery Time Data Extraction, driving faster decisions and better service while ensuring precise positioning and operational success.

Competitive Edge

With advanced techniques to Scrape Glovo For Product Availability And Pricing, the client gained critical insights into market trends, allowing for service adjustments that boosted profitability in competitive delivery sectors.

Retail Scrape's Glovo Data Scraping solutions revolutionized our approach to delivery market positioning. By gaining comprehensive access to Extract Food Delivery Data insights, we rapidly adjusted our strategy, refined our service models, and achieved a remarkable 37% increase in customer retention.

- Operations Director, Leading Multi-Location Restaurant Chain

Conclusion

Maintaining optimal delivery service positioning is crucial in today's competitive food delivery market. Glovo Data Scraping empowers businesses to monitor competitor services, make informed decisions, and improve market competitiveness.

Our customized solutions offer smooth delivery intelligence and actionable insights, allowing businesses to refine their competitive positioning. With in-depth expertise in Glovo Delivery Data Extraction, we equip businesses with the tools to unlock valuable insights for strategic growth.

Our specialists help evaluate market positioning, refine delivery strategies, and boost profit margins through Real-Time Glovo Data Scraping. Contact Retail Scrape today to minimize service inconsistencies, enhance market positioning, and drive long-term revenue with our advanced food delivery intelligence solutions.

Read more >>https://www.retailscrape.com/glovo-food-delivery-data-scraping-for-market-insights.php

officially published by https://www.retailscrape.com/.

[dataentryinc]

A Step-by-Step Guide to Choosing the Right Data Entry Service for Your Restaurant

Running a restaurant is a journey full of excitement but on the other hand, you also have to juggle hundreds of tasks at once. The journey is beyond serving delicious food, handling operations efficiently is the key to restaurant success. From tracking inventory to managing payroll and handling customer data, there’s so much that needs your time and attention. 

This is why you need a data entry service to get away from hectic tasks. But the question is how to choose the right one.  Step by step let’s understand how to choose the right data entry service for your restaurant to make your decision easier.

1. Understand Your Restaurant’s Needs

The data requirements are unique for each restaurant. You have to take a look at your needs. For instance, digitizing handwritten orders, tracking inventory, managing customer feedback, and it goes on. You need to make a list of your needs. This brings clarity to choosing the service that fits the restaurant's needs. 

2. Look for Industry Experience

Any data entry service provider can help you but only an experienced one can make a difference. Always look for a company that has industry experience. They will understand the challenges like order accuracy, inventory tracking and loyalty program management. Never forget to check client testimonials you will gain more clarity and it will be easy to trust. Also, trusting an experienced service provider will save time and ensure quality work without any errors.

3. Prioritize Accuracy and Attention to Detail

When it comes to data, a small mistake can lead to big chaos. Imagine entering the wrong inventory data and running out of key ingredients during a huge food order. To avoid this situation always ask about the accuracy and the measures they take to handle any situation if a problem occurs. Reliable companies will always try their level best to minimise errors. 

4. Check for Scalability

Your data grows, and the data too. You have to look for a service that scales according to your needs so that you can save yourself from switching providers later. If you are planning to expand or open another franchise, ask if they can handle a huge volume of data. Scalability ensures that your data entry provider can expand their services according to your business.

5. Evaluate Their Tech Capabilities

It’s 2025, and manual spreadsheet days are long gone. The right service provider will use modern tools and technologies to manage information efficiently. Ask about their tech availabilities. Make a checklist, and know if they have cloud cloud-based system for easy access, are they familiar with restaurant management software like Toast or Square? Tech-savvy services will always streamline operations and will leave no room for errors.

6. Compare Pricing Plans

Budget matters the most, but because of that never just focus on the cheapest option. Compare companies' pricing plans and check if your data entry tasks list is included in their plan. Double-check if they have any hidden fees and if there are any then it aligns with your needs. Remember, not to lose quality work for saving some little amount of money.

7. Assess Communication Skills

Good and transparent communication is a must. The data entry service provider must be easy to reach and respond timely to any queries that may arise. Check their preferred communication channels and make sure you are comfortable with them. Clear communication will ensure timely task completion and accuracy.

8. Check for Confidentiality Measures

Your restaurant’s data is sensitive. From customer information to financial records you can’t afford to lose the confidentiality of this kind of data. Always ensure that they follow confidentiality policies and use secure servers to protect data. In short, protecting your data should be their top priority.

9. Request a Trial Run

If they agree, ask for a trial period before committing. This will give you an outlook of their work quality, communication style, and task completion time. This way, you will get the time to evaluate their services before signing any long-term agreement. A trial run period will help to catch the red flags if there are any.

10. Ask for References

Without any hesitation ask for their portfolio and contact other restaurant owners to get real feedback on their services. This will give you a clear picture of their strength and weakness. Honest feedback will always give the right direction.

11. Ensure Flexibility in Services

Your restaurant’s priority can change according to time, and flexibility in their services can adapt according to your needs. Whether it’s adding new data or categories make sure they are ready for the last-minute changes. After all, flexibility makes the partner more reliable.

12. Think Long-Term

Look beyond your immediate problem solutions. Choose a partner that aligns with long-term goals, and who can contribute to your vision and make your business grow. Don’t look at it as a cost but an investment for business growth.

13. Look for Value-Added Services

Some data entry service providers, go above and beyond to offer value-added services like analysis and reporting. These services can be beneficial for restaurant growth. For instance, data analysis can help to know which dish is the most ordered, and what people prefer during respective seasons. This will help you optimize your menu.

14. Don’t Rush the Decision

Never make any quick decision without going through all the factors and options available. One wrong decision can lead to poor-quality work and also wasted money. The right data entry service will not just save time but will also contribute to restaurant success.

Summing Up

Choosing the right restaurant data entry service provider is just like choosing the right partner who understands your needs and helps you grow. Follow the above steps to simplify your decision-making process and make your restaurant business thrive. 

Ready to make the change? Prioritize accuracy, experience, and flexibility when selecting your partner. Choose a service that fits right with your vision and scales with your growth. Start your journey today toward a stress-free and efficient restaurant management system.

Source Link: https://latestbpoblog.blogspot.com/2025/01/a-step-by-step-guide-to-choosing-the-right-data-entry-service-for-your-restaurant.html

[omdataentryindia]

DIY vs. Professional Menu Data Entry: Which is the Best Choice for Your Restaurant?

You may serve your restaurant's best food, but streamlining operations will still be the top priority. From managing orders to digitising the menu and looking after inventories, all such tasks happening backstage are directly related to restaurant success. But the question is should you just simply DIY it or trust the experts to handle it?

The restaurant menu data entry is not just typing out dish names and prices. It also involves, menu digitisation, order management, stock and inventory updates, invoice processing, and order processing. After reading this blog you can make the decision to either DIY this operation or hire professionals to simplify the operations.

What Includes Restaurant Menu Data Entry?

Menu data entry refers to the process of entering information about a restaurant's menu into a database or POS system. This information may include:

Menu Item Names

Descriptions and Categories

Prices

Dietary Information

Nutritional Information

QR Codes

Offers and Promotions

Image and Video Data

Menu Data Entry Services May Include:

Menu optimisation refers to making the menu easier to navigate and search for on internet platforms.

Menu Design and Formatting: Ensure that the menu is visually appealing and easy to read.

Menu translation involves translating menu items and explanations for consumers who speak different languages.

The DIY Approach: A Closer Look

Well, doing it on your own definitely looks appealing at first, so here we are to make you look a little closer.

Many restaurant owners start by managing data entry tasks in-house to save costs and take control. This might work for some restaurants but it does come with challenges that you can’t avoid.

For Instance:

Entering menu details and prices becomes very overwhelming when it’s on various platforms, such as your website, delivery apps, and POS system. And the workload get double while updating seasonal dishes or special offers.

DIY also requires a huge amount of time, energy and attention to detail. Small restaurants with limited menus can handle it well. But when the menu grows, operations directly expand which leads to mistakes like mismatched orders, incorrect pricing and unhappy customers.

DIYing also means depending on your staff who might not have specialised skills this can lead to inefficiencies to meet the expectations.

Why Hiring Professionals Makes a Difference?

Outsourcing restaurant menu data entry isn’t just about handling them a task but it’s more about streamlining all your behind-the-scenes operations. Here are some reasons that you need to hire professionals to grow your restaurants without any hurdles:

1. Expert Handling of Menu Data

Your customers deserve accurate information. The professionals ensure that the menu is consistently updated and optimised for both online and offline platforms because they specialise in menu data entry and digitisation.

2. Seamless Menu Digitization

Digital platforms are rising gradually and only professionals can create high-quality digital menus for food delivery apps, websites, and in-house systems. A well-digitised menu not only simplifies your operations but also improves customer experience by making it easy for them to explore their favourite dishes from your offerings online as well as offline.

3. Time Efficiency

If you are DIYing it make sure you have lots of extra time free after serving your customers. But if you do not have that much time, outsourcing is the option for you. You just need to focus on your core operations and save the time that may have been wasted while manually making menu changes or correcting errors across various platforms.

4. Enhanced Accuracy

When it comes to your menu, mistakes such as incorrect prices, outdated dishes, or missing items can lead to chaos. It can ruin your restaurant’s reputation. If you hire professionals, they will ensure a high level of accuracy while enhancing customer satisfaction. Their attention to detail makes sure that every description and price is correctly entered.

5. Integration Across Platforms

The menu data needs to be accurate and the same on social media, websites, delivery apps, and in-store displays. Only professionals can handle integration across all platforms and ensure consistency everywhere. This parallelism eliminates any kind of confusion and ensures a smooth experience for customers.

6. Support for Growing Restaurants

It’s not just your restaurant that expands but the complexities of your operations also expand with restaurant growth. If you don’t want to sacrifice the quality of service provided by your restaurant then you must hire professionals. Because only they have the resources to handle it seamlessly. If you are introducing new dishes, opening new branches, or introducing seasonal menus, the professional team can handle it well.

7. Focus on What You Do Best

You definitely have better things to do like perfecting your dishes and engaging with your precious customers. When you outsource, you put your energy into your business while leaving technical details to the experts.

Why Your Menu Deserves the Best?

Your menu is the identity of your restaurant. Entrusting menu data entry to professionals ensures that your offerings are presented not just accurately but attractively. With their expertise, you save time and reduce errors while focusing on creating a memorable dining experience for your customers.

If you want to stand out in a competitive world, hire professionals that easily integrate with your POS system, delivery apps, as well as in-house operations. Professionals make this a reality without any hustle.

A well-maintained menu ensures that customers know what to expect from your restaurant offerings. Your menu must clearly communicate your restaurant values and quality commitment. Never underestimate the power of a good menu, this is the most crucial piece of your business.

Source Link: https://dataentrywiki.blogspot.com/2025/01/diy-vs-professional-menu-data-entry-which-is-the-best-choice-for-your-restaurant.html

[ame-x2]

112024

you know you've hit adulthood when what gets you excited is the prospect of having good vegetables 😭

[dataentry-expert]

Outsource Restaurant Menu Data Entry Services in India

In today's fast-paced world people are relying on ordering food online so it's crucial to have a restaurant menu data entry service so that you focus on the main business without compromising quality and giving importance to the core work of your business so it's crucial to outsource restaurant menu data entry services to Data Entry Expert at affordable rates. So what are you waiting for contact us now!

To know more - https://www.dataentryexpert.com/data-entry/restaurant-menu-data-entry-services.php

[mobiledatascrape]

Food Delivery App Scraping Services | Extract Restaurant Menu Data

Elevate your food business with our Food Delivery App Scraping Services. We can extract restaurant menu data from the USA, UK, UAE, Canada, China, India, and Spain.

know more: https://www.mobileappscraping.com/food-delivery-app-scraping-services.php

[mangocityithjhg]

https://mangocityit.com/service/buy-zomato-reviews/

[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.

[iwebdatascrape]

How to Scrape Restaurant Data from Zomato

In the digital age, data is a valuable asset, especially when it comes to businesses such as restaurants and pubs. However, understanding the significance of data for marketing, research, and analysis, many companies are eager to build comprehensive databases that encompass essential details about various establishments. One popular source for this information is Zomato, a prominent online platform that provides users with many information about restaurants, pubs, and other eateries. In this article, we will explore how to scrape restaurant data from Zomato to create a database of these establishments in India's eight major metro cities.

About Web Scraping

Web scraping is an automated process of gathering data from websites. It entails developing code that systematically navigates through web pages, locates pertinent information, and organizes it into a structured format, such as a CSV or Excel file. Nevertheless, it is of utmost importance to acquaint ourselves with the terms of service of the target website before commencing web scraping. This precautionary step ensures that the web scraping restaurants data procedure adheres to all rules and policies, preventing potential violations.

About Zomato

Zomato is a leading online platform that provides a comprehensive guide for users seeking information about restaurants, cafes, bars, and other eateries. It offers a wide range of details that can assist users in making informed decisions when dining out or ordering food. The platform goes beyond merely providing basic restaurant listings and delves into more intricate aspects that enrich the dining experience. One of the primary features of Zomato is its extensive database of restaurants, which spans various cities and countries. Users can access this information to explore their diverse culinary options. Each restaurant listing typically includes essential data, such as the establishment's name, location, cuisine type, and opening hours. Scrape Zomato food delivery data to gain insights into customer ordering behavior.

List of Data Fields

Restaurant Name

Address

City

State

Pin Code

Phone Numbers

Email

Web Scraping Using Python and BeautifulSoup

We have chosen Python, a highly versatile and popular programming language, for our web scraping restaurant data from Zomato project. To extract the required data from Zomato's web pages, we will leverage the power of the "Beautiful Soup" library. This Python library is specifically designed to parse HTML content efficiently, enabling us to extract relevant information seamlessly. With the combined strength of Python and Beautiful Soup, we can efficiently and precisely automate gathering the necessary data from Zomato's website.

Step-by-Step Guide to Scraping Restaurant Data from Zomato

1. Import Necessary Libraries:

When you Scrape Restaurants & Bars Data, make sure you have the required Python libraries installed. Install "requests" and "Beautiful Soup" libraries if not already in your Python environment.

2. Identify Target URLs:

Determine the URLs of Zomato's web pages containing the restaurant data for each of India's eight major metro cities. These URLs will serve as the starting points for our web scraping.

3. Send HTTP Requests:

Use the "requests" library to send HTTP requests to each identified URL. It will fetch the HTML content of the web pages, allowing us to extract relevant data.

4. Parse HTML Content:

Utilize "Beautiful Soup" to parse the HTML content retrieved from the web pages. The library will help us navigate the HTML structure and locate specific elements that contain the desired information, such as restaurant names, addresses, contact details, etc.

5. Extract Data and Store:

Once we have successfully located the relevant elements in the HTML, extract the required data seeking help from Food Delivery And Menu Data Scraping Services. Gather details such as restaurant names, addresses, city, state, PIN codes, phone numbers, and email addresses. Store this information in a structured format, such as a CSV file, database.

6. Data Cleaning and Validation:

After extracting the data, performing data cleaning and validation is crucial. This step involves checking for duplicate entries, handling missing or erroneous data, and ensuring data consistency. Cleaning and validating the data will result in a more accurate and reliable database.

7. Ensure Ethical Web Scraping:

It is essential to adhere to ethical practices throughout the web scraping process. Respect the terms of service of Zomato and any other website you scrape. Avoid overloading the servers with excessive requests, as this could cause disruptions to the website's regular operation.

8. Update the Database Regularly:

To keep the database current and relevant, consider setting up periodic updates. Restaurant information, such as contact details and operating hours, can change over time. Regularly scraping and updating the database will ensure users can access the most up-to-date information.

Important Considerations:

Respect Robots.txt: Before scraping any website, including Zomato, check the "robots.txt" file hosted on the site to see if it allows web scraping and if there are any specific rules or restrictions you need to follow.

Rate Limiting: Implement rate limiting to avoid overloading the Zomato server with too many requests in a short period.

Update Frequency: Regularly update your database to ensure the information remains relevant and up-to-date.

Conclusion: Building a database of restaurants and pubs in India's major metro cities from Zomato using Zomato scraper is an exciting project that requires web scraping skills and a good understanding of data management. By following ethical practices and respecting website policies, you can create a valuable resource that is helpful for marketing research, analytics, and business growth in the hospitality sector. Remember to keep the data accurate and updated to maximize its utility. Happy scraping!

know more:

[fooddatascrape1]

Read this blog to know why to scrape restaurant & grocery food allergy data to collect information regarding restaurants, food, menus, type of allergy encountered, etc.

Know more : https://medium.com/@fooddatascrape/how-to-scrape-restaurant-grocery-food-allergy-data-to-get-updates-on-food-allergens-112d364a7a85

[jessiso]

Statistically nerds are also the best in bed !!

"Statistically Speaking"

A Criminal Minds fanfic | Spencer Reid x Fem! Reader | Part II

You and Spencer share a tender first date that turns into something softer, sweeter, and more intimate than either expected.

cw: fluff, emotional intimacy, physical touch, kissing, consensual sex implied.

w/c 1,504

(CLICK HERE FOR PART ONE)

(ASK AND YOU SHALL RECIEVE! I LOVE WRITING NERDY REID HES SO AHH!)

...

Dinner is warm and golden, the restaurant tucked between a dry cleaner and a secondhand bookstore.

It smells like lemongrass and toasted garlic the second you step inside.

Spencer holds the door for you and awkwardly gestures toward the tiny booth in the back like he’s not sure if he’s meant to be a date or a dinner companion—or both.

He fidgets with the edge of the menu, eyes scanning it like he doesn’t already have the entire thing memorized.

“They make their own curry paste here,” he says quietly, like it’s a secret. “And the chef used to work in Bangkok, at this really well-known place near Lumphini Park. Technically, this is probably the most authentic Thai food in D.C.”

You smile. “Technically?”

“Well, it depends how you define authenticity,”

he says, eyes flicking up to meet yours.

“But the flavor profiles, ingredient sourcing, and spice ratios are... statistically consistent with the original dishes.”

“Did you just cite spice ratios on a first date?”

He blushes and ducks his head. “Sorry. I ramble when I’m nervous.”

You reach across the table and brush your fingers against his. “I like the rambling.”

Spencer’s eyes soften. “Most people don’t.”

“I’m not most people.”

That earns you a slow, shy smile. “I’m starting to notice.”

You order pad see ew and green curry; he orders the same, like he’d already known what you’d pick and didn’t want you to eat alone.

When the server leaves, he tells you about his first case in Thailand, a seminar he once gave on geographical profiling at a university in Chiang Mai, and how he got embarrassingly sunburned trying to cross-reference map data on foot.

“You sunburned yourself... doing math?”

“Well, yeah,” he says, looking completely serious. “It was for accuracy.”

You laugh so hard you nearly choke on your water, and Spencer positively beams.

By the time the food arrives, you’re leaned in across the table, your cheeks sore from smiling.

He lets you steal a piece of tofu from his plate without protest and lights up when you offer him a bite of yours, even though you have the same dishes.

And then he gets contemplative.

“I don’t... do this often,” he says, nudging a piece of sticky rice around with his spoon. “The dating thing. I’m not very good at it.”

You tilt your head. “You think this is going badly?”

“No! No, not at all,” he says quickly, eyes wide. “Actually, it’s going—statistically—significantly better than most human bonding experiences I’ve read about. I just meant... I usually mess things up. I overthink. I say weird things.”

You rest your chin in your hand. “Spencer.”

“Yeah?”

“I’ve had dates with guys who thought the mitochondria was a Star Wars character. You’re doing fine.”

He stares at you for a beat. “I... think I’m in love with you.”

The table goes very quiet. He visibly panics. “Not in love. Not yet. Not—statistically, it’s way too soon for a secure emotional attachment of that nature, and I don’t want to make you uncomfortable—”

You reach for his hand again. “Spencer.”

He exhales.

“I really like you,” you say, grounding him with your thumb brushing over his knuckles. “And I’d be okay with you falling in love with me eventually. Statistically or otherwise.”

His mouth opens like he wants to say something smart, but all that comes out is a slightly breathless, “Okay.”

You don’t let go of his hand for the rest of the meal.

The air outside is cool, the kind of crisp that tugs lightly at your sleeves but doesn’t quite bite.

Streetlights cast long shadows on the sidewalk as you and Spencer step out of the restaurant, both a little quieter now, full of good food and something warmer lingering between you.

He walks close—close enough that your arms brush now and then, like he’s still debating whether or not he’s allowed to touch you again.

You bump your shoulder into his gently. “So. Sticky rice and a confession of possible future love? That’s a lot for a first date.”

He groans, rubbing a hand over his face. “I knew I shouldn’t have said that.”

“I didn’t say I didn’t like it.”

His hand drops, and he gives you a sheepish glance. “You’re just... really easy to talk to. That’s rare.”

“I could say the same.”

He walks in silence for a few moments, then says softly, “Do you know the German word verschlimmbessern? It means trying to improve something and accidentally making it worse.”

You grin. “Are you worried you're doing that right now?”

“A little,” he admits. “I just—this feels really good. And I don’t want to ruin it by saying too much or... rambling.”

“You say that like your rambling isn’t half the reason I like you.”

His lips twitch like he’s trying to hide a smile. “Only half?”

“Okay, maybe sixty percent.”

He laughs, and it’s that breathy, surprised kind of laugh you’ve only heard from him a few times—but each one feels like a little victory.

You pass a quiet row of townhouses, your fingers brushing once, twice, three times before you finally hook your pinky around his.

He stills for a second, like his brain has to buffer the gesture before accepting it.

Then he lets out a soft, contented breath.

“I looked up this study once,” he says suddenly. “It showed that physical touch releases oxytocin, which builds trust between two people. And lowers cortisol. Which is the stress hormone.”

You glance sideways. “Are you telling me you’re less stressed now that I’m holding your hand?”

He smiles, a little shy. “... yes.”

You squeeze his hand properly, and he holds on like it means something—which it does.

As you near your building, the silence shifts again—comfortable but charged now, like both of you are waiting for the other to make the next move. You stop outside your front door and turn to face him.

His eyes are a little wide behind his glasses, like he’s caught somewhere between analysis and awe.

“So,” you say. “This is me.”

He nods slowly. “And this is... goodbye?”

You raise an eyebrow. “Do you want it to be?”

His mouth opens, then closes. Then, quietly: “No.”

You take a step closer. “Then maybe you should come up.”

He swallows hard. “I—Are you sure? We don’t have to—statistically speaking, early physical intimacy isn’t always correlated with long-term relational stability—”

“Spencer?”

He meets your eyes.

You smile. “You talk too much.”

He lets out a breathless laugh, and you tug him gently forward by the collar of his shirt.

He steps in after you, looking around your space like it’s a museum in its own right—eyes scanning your bookshelves, your succulents, the little constellation mug sitting by your sink.

“I like your place,” he says, setting his bag down carefully. “Very you.”

You tilt your head. “You barely know me.”

He smiles gently. “I know enough.”

You stand there for a second—barely a breath between you. Then you say, softly, “Spencer?”

He looks up, lips slightly parted. “Yeah?”

“Can I kiss you?”

He laughs—a short, surprised burst.

"That was going to be my next question.”

You step in and kiss him anyway.

It starts soft—tentative, curious—but quickly becomes something warmer, deeper.

His hands find your waist with careful reverence, thumbs brushing the fabric of your shirt like he’s trying to memorize the texture.

He kisses like he thinks too much and feels even more. Like he’s been waiting his whole life for a kiss worth calculating.

You tug gently at his cardigan, and he lets you, pulling back just long enough to mumble, “Do you—should I—uh, I haven’t... done this in a while.”

Your hand trails up to his jaw, thumb stroking the soft edge of his cheek. “You’re doing perfect.”

He exhales shakily, leaning into your touch.

“There are over four million nerve endings in the human body,” he murmurs, his voice a little lower now. “I think every single one is currently lighting up.”

You smile against his mouth. “You really can’t turn it off, can you?”

He shakes his head. “Not even a little.”

Clothes come off in pieces—his cardigan first, then your shirt, then his button-down that you have to help him with because his hands are shaking slightly. There’s nothing rushed about it. Just slow exploration. Wonder. Like you’re both uncovering something rare.

When you finally end up in bed, tangled in your sheets and each other, he kisses your shoulder like it’s a holy thing. Like you’re a phenomenon he’s still trying to wrap his brilliant mind around.

Later, as you lie tangled together in the quiet hush of early morning, Spencer traces his fingers over your arm in lazy circles.

“I ran the numbers,” he says drowsily, voice muffled against your collarbone. “The odds of this happening today were approximately 0.04%.”

You grin into his hair. “And yet here we are.”

He hums. “I think I like improbable outcomes.”

You close your eyes, smiling. “Yeah. Me too.”

[mediocre-shark-tales]

Singapore GP part 2

Masterlist

The sun bore down on the track as I settled into my car for Practice 3. The heat shimmered off the asphalt, making the circuit look like a mirage in the desert. My engineer’s voice came over the radio as I pulled out of the garage.

“Alright, let’s do a few race simulations. Keep it smooth, and let us know how the balance feels.”

The laps started off fine—steady pace, good feedback from the car. I was starting to feel the groove, envisioning how I’d attack certain corners during the race. But as I hit the apex of Turn 8, something felt... wrong.

“Uh, guys,” I said into the radio, frowning as I fought with the steering. “Something’s off. Feels like I’m losing power on the straights.”

“Copy that, we’re seeing it on the data. Box, box,��� came the reply.

I limped back to the pit lane, frustration bubbling under the surface. By the time the mechanics started investigating, I was already out of the car, pacing near the monitors.

“It’s the ERS,” Marcus said after a tense ten minutes. “We’ll need to replace some components, but you’ll be fine for tomorrow.”

I nodded, exhaling sharply. I hated losing track time, especially during a session this crucial, but there wasn’t much I could do. As the minutes ticked by, I watched other drivers complete their runs, mentally taking notes while the mechanics worked on the car.

The next day, Qualifying loomed, and the pressure was palpable. By now, the car was fixed, and I was determined to make up for lost time.

Q1 was smooth—I managed to clock a competitive time and made it to Q2 without a hitch. The car felt sharp, responsive, almost like it was making up for yesterday’s troubles.

By the time we hit Q3, my nerves were a cocktail of excitement and determination. Every corner mattered now.

“Alright, let’s push,” my engineer said as I started my final flying lap.

The car danced through the corners, each turn feeling like an extension of myself. Sector one—purple. Sector two—green. I pushed harder through the final chicane, my tires squealing in protest as I crossed the line.

“P7,” my engineer said over the radio, his tone almost celebratory. “Great lap! Fernando is P6, this is a great look for the team.” 

“What about Franco?”

“Franco in P12.”

I let out a breath I didn’t realize I’d been holding, a smile breaking across my face. P7. Not only was I starting in the top ten, but I’d qualified right behind my teammate.

As I climbed out of the car and waved to the fans, I caught sight of Fernando. He gave me a small nod of approval, a gesture that felt like a victory in itself, even if he wasn’t smiling.

Franco, on the other hand, was standing off to the side, shaking his head in mock disbelief when I passed him. “Alright, Hermosa,” he called out with a grin. “Don’t get too comfortable ahead of me.”

I laughed, the weight of yesterday’s frustration finally lifting. Tomorrow was race day, and I was ready to fight.

The city lights of Singapore reflected off the wet streets as the three of us stepped into a cozy restaurant tucked away from the chaos of the paddock. Franco had picked the spot, insisting that it was far enough from the main driver's haunts to avoid the usual media frenzy.

“Table for three,” Franco said with a charming grin as the host led us to a quiet corner.

I slid into the booth beside Lando while Franco took the seat opposite us. The tension from earlier—my battle in Qualifying, the weight of the weekend—started to melt away as the aroma of food filled the air.

“You know,” Lando began, glancing at me with a smirk, “you could’ve let Franco have P7. Would’ve been nice to have you further back so I wouldn’t have to worry about you at the start.”

I laughed, rolling my eyes. “Please, you got pole. Like I’m even in your mirrors.”

“Exactly my point!” Lando teased, and Franco chuckled as he picked up the menu.

As we settled into conversation, my gaze wandered across the restaurant. In the far corner, a table of familiar faces caught my attention—several other drivers were eating together, laughing and chatting like old friends. Fernando, Carlos, Pierre, Alex, and even Sergio were there. For a moment, I felt the sting of exclusion, but I tried to push it aside.

Franco noticed where my eyes had landed and cleared his throat. “You okay, Hermosa?”

I forced a smile. “Yeah, just... didn’t realize everyone else was here.”

“They always do this,” Lando said softly, his tone lacking its usual playfulness. “It’s kind of a thing. They keep it tight-knit, you know?”

I blinked, looking between the two of them. “You knew about this?”

Franco nodded, his expression serious. “We did. And we chose to be here instead.”

Lando leaned closer, his voice quieter but filled with sincerity. “Look, you don’t need them. They’re stuck in their little circle, and they don’t see what you do. You’re proving yourself every single weekend, and if they can’t see that, it’s on them.”

The lump in my throat threatened to choke me, but I managed a small smile. “Thanks, guys.”

Franco grinned, breaking the tension. “Enough of this sappy stuff. Let’s order before I starve.”

The night ended on a lighter note, filled with laughter and stories, the earlier sting of rejection fading as I realized that, with Franco and Lando by my side, I wasn’t entirely alone.

The humidity was oppressive as I sat in my car on race day, the grid bustling with activity. Lando was on pole, radiating confidence, while I prepared for the challenge ahead from P7.

The lights went out, and chaos erupted. I managed to hold my position through the first corner, but the car felt off almost immediately.

“Something’s not right,” I radioed in, fighting to keep control through Turn 5.

“Copy that,” my engineer replied. “We’re seeing it too. Keep pushing if you can; we’ll adjust strategy.”

For the next 15 laps, I wrestled the car, the balance off and the rear sliding unpredictably through the tighter corners. Drivers behind me loomed dangerously close, and I had to dig deep to keep them at bay.

Fernando, in P6, was a constant figure ahead of me. I could feel his presence as both a motivator and a challenge, his car tauntingly steady compared to mine.

Lap by lap, I fought back, leaning into the anger, the determination that had carried me this far. By the final stint, I found a rhythm, the car stabilizing enough for me to push.

When the checkered flag waved, I crossed the line in P6, a mix of exhaustion and relief washing over me.

“P6,” my engineer confirmed. “Well done, great recovery.”

As I rolled back into the pits, I caught sight of Lando climbing out of his car, his arms raised in victory. Pole to win—it was his day. But as he looked toward me, a smile broke across his face, and he gave me a thumbs-up.

Franco jogged over as I climbed out of my car, his grin as wide as ever. “See? I told you you’d survive. Now let’s go find Lando and celebrate.” I laughed, letting the tension of the race melt away. 

Franco and I made our way through the bustling paddock, weaving through the sea of team personnel and media. The cheers from McLaren's garage were unmistakable, and it wasn’t hard to spot Lando—his beaming grin and the sea of orange-clad crew celebrating his victory made him stand out like a beacon.

“There’s our winner!” Franco called out, throwing an arm around Lando’s shoulders as soon as we reached him. “Pole to win, mate! And you were worried you’d choke!”

Lando laughed, shoving Franco lightly. “Please, I was never worried. Just making it look dramatic for you lot.”

“Sure you were,” I teased, stepping closer. “You looked ready to pass out on the grid.”

“I call that focus,” Lando shot back, sticking his tongue out before pulling me into a quick hug. “But seriously, thanks for coming. It means a lot.”

The celebration was warm and chaotic, with McLaren’s garage buzzing with energy. Oscar joined the group a few moments later, his quiet demeanor contrasting with Lando’s exuberance, but he was smiling nonetheless.

“Hey, Oscar,” Franco greeted with his usual charm, nudging me subtly. “You’ve met our girl here, right?”

Oscar nodded, his smile polite but genuine. “We’ve crossed paths a few times. Great job out there, by the way,” he said, glancing at me. “P6 with car troubles? That’s impressive.”

“Thanks,” I replied, genuinely surprised by his compliment.

“She’s been outdriving you for a while, mate,” Lando joked, earning a mock glare from his teammate.

“Careful,” Oscar warned playfully, “I’m still faster in the simulator.”

The banter flowed easily, and I found myself laughing along with them, the weight of the past few weeks easing with every joke and story shared.

At some point, Lando raised his drink—a bottle of water, still in full celebration mode but with tomorrow in mind. “To good races, great friends, and proving every doubter wrong.”

The four of us clinked our bottles together, the unspoken camaraderie cementing itself in the shared moment.

As the night wore on, I couldn’t help but notice how seamlessly Oscar fit into the dynamic. While quieter than Franco and Lando, he had a subtle wit that added to the conversation, and his genuine interest in getting to know me felt like a small but meaningful victory.

“Guess we’ve got a new regular for our dinner outings,” Franco remarked as we started to head out.

“Careful,” Lando quipped, “Oscar’s competitive. He might take over my friend spot.”

Oscar smirked. “Not a chance. I’m not sure I can handle both of you.”

We all laughed as we left the McLaren garage, the Singapore night alive with energy. For the first time in weeks, I felt like part of something bigger than just the race. It wasn’t about the rumors, the past, or the doubters anymore. It was about moments like these—building friendships that could weather whatever the world threw at us.

And as I walked back to the hotel that night, surrounded by laughter and lighthearted teasing, I knew one thing for sure: I wasn’t alone anymore.

[manias-wordcount]

Hello may I please request Goro Akechi, Ren Amamiya, and Shinjiro Aragaki with their partner surprising them with a very thoughtful date?

Surprising Him with a Thoughtful Data HCs (Goro Akechi, Akira Kurusu, Shinjiro Aragaki)

𝗔/𝗡: 𝗶 𝗵𝗮𝗱 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗰𝗿𝘂𝘀𝗵 𝗼𝗻 𝘀𝗵𝗶𝗻𝗷𝗶𝗿𝗼 𝗳𝗼𝗿 𝗹𝗶𝗸𝗲 𝗙𝗢𝗥𝗘𝗩𝗘𝗥 (𝟯 𝗺𝗼𝗻𝘁𝗵𝘀 𝗹𝗼𝗹) 𝗮𝗳𝘁𝗲𝗿 𝗶 𝗳𝗶𝗿𝘀𝘁 𝗴𝗼𝘁 𝗶𝗻𝘁𝗼 𝗽𝗲𝗿𝘀𝗼𝗻𝗮 𝟯 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗶 𝗹𝗼𝘃𝗲 𝗮 𝗴𝗼𝗼𝗱 𝘁𝗿𝗼𝘂𝗯𝗹𝗲𝗱 𝗯𝗿𝘂𝗻𝗲𝘁𝘁𝗲 <𝟯 (𝘀𝗲𝗿𝗶𝗼𝘂𝘀𝗹𝘆 𝘁𝗵𝗶𝘀 𝗴𝘂𝘆 𝘄𝗮𝘀 𝗹𝗶𝗸𝗲 𝗺𝘆 𝗼𝗿𝗶𝗴𝗶𝗻𝗮𝗹 𝗮𝗸𝗲𝗰𝗵𝗶 𝗯𝗮𝗰𝗸 𝗶𝗻 𝟮𝟬𝟭𝟯𝗶𝘀𝗵/𝟮𝟬𝟭𝟰) 𝗯𝘂𝘁 𝗶𝗺 𝗮𝗹𝘄𝗮𝘆𝘀 𝘀𝗼 𝗺𝗮𝗱 𝘁𝗵𝗮𝘁 𝗵𝗲 𝗡𝗘𝗩𝗘𝗥 𝘁𝗮𝗸𝗲𝘀 𝗼𝗳𝗳 𝘁𝗵𝗲 𝗵𝗮𝘁 𝗹𝗶𝗸𝗲 𝗮𝘁𝗹𝗮𝘀 𝗰𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗻𝗼𝘁 𝗼𝗳𝗳𝗲𝗿 𝗺𝗲 𝘁𝗵𝗮𝘁???? 𝗮𝗻𝘆𝘄𝗮𝘆𝘀 𝗵𝗼𝗽𝗲 𝘆𝗼𝘂 𝗹𝗶𝗸𝗲 𝗶𝘁 𝗛𝗔𝗛𝗔𝗛𝗔

𝙒𝙖𝙣𝙩 𝙩𝙤 𝙧𝙚𝙖𝙙 𝙢𝙤𝙧𝙚? ⇒ 𝙈𝙖𝙨𝙩𝙚𝙧𝙡𝙞𝙨𝙩

𝙟𝙤𝙞𝙣 𝙢𝙮 𝙙𝙞𝙨𝙘𝙤𝙧𝙙 𝙨𝙚𝙧𝙫𝙚𝙧?

𝙗𝙪𝙮 𝙢𝙚 𝙖 𝙘𝙤𝙛𝙛𝙚𝙚?

Goro Akechi

Because work and life and his popularity had been keeping him busy for the past couple of weeks, he felt lucky (and a little obligated) to plan a date for the two of you since he felt he had been neglecting you to keep up with his other responsibilities

So imagine his surprise when you turn down his offer of taking you to your favorite date spot because you “already had reservations for the two of us” at that time

But when the night comes and he meets you at the location you sent him, he can’t help but be floored bc like…

Who would have thought that you’d plan something all about him when he was the one who wasn’t making time for you?????

But of course, because he’s Goro Akechi he’s gonna keep his composure when you surprise him by taking him out for a nice, long dinner at some rooftop place in the city

Though you really made his heart soar when he realized that you picked a place with some quiet live music so the two of you could chat (or not! depending on his mood) and just enjoy each other’s presence

The menu has all his favorites on it, the music is from local artists he had discovered and started listening to a couple of months ago, and you wouldn’t let him talk about anything you thought could raise his blood pressure

So most likely, the night is spent with him looking and feeling all soft as he stares out and enjoys the scenery while holding your hand over the table

Truly, this date with you was just so nice and gentle and sweet and just decompressing

It was exactly what he needed (or rather, you’re exactly what he needed hehe <3

Akira Kurusu

Although he’s probably busy himself, Akira tends to make a lot of time and does most of the date planning because he’s a romantic hehe (i swear on my life he is, he has to be)

So the one time he let you take the reigns and plan a date, you wanted it to be super special

So you plan: treating him to a delicacy that’s famous in his hometown……anddd learning how to cook it with him!

It’s not much but you remember how he talked about missing when he could eat that local delicacy whenever he wanted but how it was difficult to find it in Tokyo

So the moment he realized that was your plan, he was pretty smitten

It was something so simple but it showed that not only do you care and listen to what he says, but you also wanted to cook with him- something he only recently realized he loved

So that whole day was spent munching on food that reminded him of home and perfecting the recipe (that turned out to be a bit harder than expected!!

But by the time the two of you were satisfied with your creation, Akira felt like he had fallen in love with you all over again

Only someone who truly loves him could dedicate their time and money to making a wish he had mentioned off-handedly once come true

And that someone was you- utterly perfect you! <3

Shinjiro Aragaki

Okok stick with it for a second but- There’s a dog shelter that Shinjiro always lingers by right? Because there’s a few dogs he has bonded with every time he gets the balls to go in there

Including a little mutt who is way too lovable, but far from the definition of cute

So your date idea: take Shinjiro and the doggy out for a day and give the doggy a good time

That means getting pup cups and doggy treats after a nice morning walk by the water and sneaking the doggy bits and pieces of your lunch to her and then hours at the doggy park

And Shinjiro? He loves it because he spends every walk holding your hand and pet his favorite dog whenever he wants and just enjoying the excitement a cute pup brings hehe

It’s not much of a “date” per se, but with all the heavy emotions he feels and burdens he carries you figured something like this would allow him to let his guard down

He doesn’t even realize that’s what you were trying to do until way, way after the date had ended and you both were inside in his place cuddling on his bed or something

It was your way of spending quality time with him while ensuring that he could spend the whole day in a good mental state where all he could think about was the doggy and you and all the silly happy things that were happening right in front of him

He never said anything but the second he realized, his eyes started tearing up as he started to feel overwhelmed with emotion because of how much he loves you and how good you are to him

And like the good partner you were, you just held him tight and promised to keep providing him with all the good things he thought he never deserved (but you know he always did)