The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

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Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

A survey conducted in December 2021 in the United States found that ** percent of the respondents would share their personal information in exchange for free use of e-mail services. Approximately ** percent said they would rather use messaging apps and social networks for free and have their data shared than pay for them.

This dataset provides a comprehensive overview of online sales transactions across different product categories. Each row represents a single transaction with detailed information such as the order ID, date, category, product name, quantity sold, unit price, total price, region, and payment method.

Columns:

• Order ID: Unique identifier for each sales order.
• Date:Date of the sales transaction.
• Category:Broad category of the product sold (e.g., Electronics, Home Appliances, Clothing, Books, Beauty Products, Sports).
• Product Name:Specific name or model of the product sold.
• Quantity:Number of units of the product sold in the transaction.
• Unit Price:Price of one unit of the product.
• Total Price: Total revenue generated from the sales transaction (Quantity * Unit Price).
• Region:Geographic region where the transaction occurred (e.g., North America, Europe, Asia).
• Payment Method: Method used for payment (e.g., Credit Card, PayPal, Debit Card).

Insights:

• 1. Analyze sales trends over time to identify seasonal patterns or growth opportunities.
• 2. Explore the popularity of different product categories across regions.
• 3. Investigate the impact of payment methods on sales volume or revenue.
• 4. Identify top-selling products within each category to optimize inventory and marketing strategies.
• 5. Evaluate the performance of specific products or categories in different regions to tailor marketing campaigns accordingly.

This statistic presents the results of a survey on customers' willingness to share personal information in return for free services online in the European Union (EU-28) as of March 2015. During the survey period, it was found that seven percent of respondents totally agreed with the statement: "You don’t mind providing personal information in return for free services online (e.g. free email address)."

This is a legacy dataset shoiwng the total daily number of connections to Wicked Free Wifi, by neighborhood, between May 2015 and March 2016. Wicked Free Wifi is an outdoor wireless network that is designed to help residents and visitors discover and connect to information about the City, and can also provide internet access to otherwise underserved residents and businesses.

Wicked Free Wifi locations: https://data.boston.gov/dataset/wicked-free-wi-fi-locations

The free online survey software and tools market is experiencing robust growth, driven by increasing demand for efficient data collection across various sectors. The market's expansion is fueled by the rising adoption of digital technologies, the need for cost-effective research methods, and the ease of use offered by these platforms. Academic institutions leverage these tools for research projects, market research firms utilize them for gathering consumer insights, and businesses employ them for internal management and employee feedback. The versatility of these tools, encompassing diverse survey types like mobile and web-based options, further enhances their appeal. While the exact market size in 2025 is unavailable, considering a plausible CAGR of 15% (a reasonable estimate given the market's dynamism) and a speculated 2024 market size of $2 billion, the 2025 market size can be estimated at approximately $2.3 billion. This growth is further propelled by the increasing availability of free plans with varying feature limitations, catering to a broader user base. However, the market also faces challenges. Competition is fierce, with numerous established players and emerging startups vying for market share. Furthermore, concerns about data privacy and security could potentially restrain market growth, necessitating robust security measures and transparent data handling practices by vendors. Despite these challenges, the long-term forecast remains positive. Continued technological advancements, the development of more sophisticated analytics capabilities within free tools (often with paid upgrades offering premium features), and the growing preference for digital data collection point to sustained market expansion. Segmentation within the market reveals a significant presence of users in Academic Research and Market Research, followed by internal management within enterprises. The geographical distribution shows a strong concentration in North America and Europe, but significant growth potential exists in Asia-Pacific regions like China and India, which are rapidly adopting online technologies. The next decade will likely witness increased integration of free survey tools with other business intelligence platforms, further enhancing their value proposition and driving broader adoption.

OpenWeb Ninja's Google Images Data (Google SERP Data) API provides real-time image search capabilities for images sourced from all public sources on the web.

The API enables you to search and access more than 100 billion images from across the web including advanced filtering capabilities as supported by Google Advanced Image Search. The API provides Google Images Data (Google SERP Data) including details such as image URL, title, size information, thumbnail, source information, and more data points. The API supports advanced filtering and options such as file type, image color, usage rights, creation time, and more. In addition, any Advanced Google Search operators can be used with the API.

OpenWeb Ninja's Google Images Data & Google SERP Data API common use cases:

• Creative Media Production: Enhance digital content with a vast array of real-time images, ensuring engaging and brand-aligned visuals for blogs, social media, and advertising.

• AI Model Enhancement: Train and refine AI models with diverse, annotated images, improving object recognition and image classification accuracy.

• Trend Analysis: Identify emerging market trends and consumer preferences through real-time visual data, enabling proactive business decisions.

• Innovative Product Design: Inspire product innovation by exploring current design trends and competitor products, ensuring market-relevant offerings.

• Advanced Search Optimization: Improve search engines and applications with enriched image datasets, providing users with accurate, relevant, and visually appealing search results.

OpenWeb Ninja's Annotated Imagery Data & Google SERP Data Stats & Capabilities:

• 100B+ Images: Access an extensive database of over 100 billion images.

• Images Data from all Public Sources (Google SERP Data): Benefit from a comprehensive aggregation of image data from various public websites, ensuring a wide range of sources and perspectives.

• Extensive Search and Filtering Capabilities: Utilize advanced search operators and filters to refine image searches by file type, color, usage rights, creation time, and more, making it easy to find exactly what you need.

• Rich Data Points: Each image comes with more than 10 data points, including URL, title (annotation), size information, thumbnail, and source information, providing a detailed context for each image.

Note:- Only publicly available data can be worked upon

In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

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Comprehensive dataset containing 4 verified Internet service provider businesses in Free municipal consortium of Enna, Italy with complete contact information, ratings, reviews, and location data.

A February 2023 survey in the United Kingdom (UK) found that about ** percent of the respondents between 16 and 24 years were willing to share personal data in return for free online services. Older respondents, meanwhile, were less likely to do so. Over ** percent of the respondents aged 55 years and older said they would strongly disagree with sharing personal information for free online services, like news articles, games, and social media.

Comprehensive dataset of 35 Internet service providers in Free municipal consortium of Trapani, Italy as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Executive Yuan and its affiliated agencies at all levels (organs, and local governments around the country) have set up over 9,000 WiFi hotspots in selected public areas to provide free wireless internet basic information services for the public to improve service quality and meet the networking needs of people going out or waiting for official business. This service provides a condition inquiry function, and the public can use four filtering conditions (providing agencies, keywords, counties and cities, and place types) to query hotspots and download hotspot query results (competent authorities, regions, hotspot names, addresses, latitudes and longitudes) to find free WiFi hotspots in the public areas of iTaiwan.

The percentage of respondents who report that they connect to the Internet only through free wifi. The respondents are the entire civilian, noninstitutionalized population age 15 and up in the target economies.

1. Why build a dataset?

I wanted to run data analysis and machine learning on a large dataset to build my data science skills but I felt out of touch with the various datasets available so I thought... how about I try and build my own dataset?

2. Why gaming data?

I wondered what data should be in the dataset and settled with online digital game purchases since I am an avid gamer. Imagine getting sales data from the PlayStation Store or Xbox Microsoft Store, this is what I was aiming to replicate.

3. Scope of the dataset

I envisaged the dataset to be data created through the purchase of a digital game on either the UK PlayStation Store or Xbox Microsoft Store. Considering this, the scope of dataset varies depending on which column of data you are viewing, for example: - Date and Time: purchases were defined between a start/end date (this can be altered, see point 4) and, of course, anytime across the 24hr clock - Geographically: purchases were setup to come from any postcode in the UK - in total this is over 1,000,000 active postcodes - Purchases: the list of game titles available for purchase is 24 - Registered Banks: the list of registered banks in the UK (as of 03/2022) was 159

4. Over 42,000 rows isn't enough?

To generate the dataset, I built a function in Python. This function, when called with the number of rows you want in your dataset, will generate the dataset. For example, calling function(1000) will provide you with a dataset with 1000 rows.

Considering this, if just over 42,000 rows of data (42,892 to be exact) isn't enough, feel free to check out the code on my GitHub to run the function yourself with as many rows as you want.

Note: You can also edit the start/end dates of the function depending on which timespan you want the dataset to cover.

5. Disclaimer - this is still a work in progress!

Yes, as stated above, this dataset is still a work in progress and is therefore not 100% perfect. There is a backlog of issues that need to be resolved. Feel free to check out the backlog.

One example of this is how on various columns, the distributions of data is equal, when in fact for the dataset to be entirely random, this should not be the case. An example of this issue is the Time column. These issues will be resolved in a later update.

Last updated: 24/04/2022

This dataset contains information about the ports of the WizmirNET Free Internet service. The data set includes various data such as the number of WizmirNET free internet connection members in various locations in Izmir, upload, download and connection times.

Hilco Streambank is a trusted marketplace leader dedicated to reliable and transparent service. As the world's largest IPv4 address broker, Hilco Streambank has successfully completed more transfers than any other organization, worldwide, with over $0 billion generated for clients since 2014. The company's team has extensive experience in region internet registry transfer regulations and provides buyers and sellers with expert advice to help reach a deal that meets even the most complex of needs.

Hilco Streambank's online marketplace provides a streamlined and transparent process to transfer the rights to IPv4 assets, including buyer and seller checklists, private brokered solutions, and LEASE IPv4 options. The company also offers the IPv4 Analyzer widget and its ReView digital IP address audit tool, a free tool working with 6connect. With operating presence in all five internet registries, including ARIN, APNIC, RIPE, LACNIC, and AFRINIC, Hilco Streambank is well-positioned to facilitate IPv4 transactions worldwide.

TagX Web Browsing Clickstream Data: Unveiling Digital Behavior Across North America and EU Unique Insights into Online User Behavior TagX Web Browsing clickstream Data offers an unparalleled window into the digital lives of 1 million users across North America and the European Union. This comprehensive dataset stands out in the market due to its breadth, depth, and stringent compliance with data protection regulations. What Makes Our Data Unique?

Extensive Geographic Coverage: Spanning two major markets, our data provides a holistic view of web browsing patterns in developed economies. Large User Base: With 300K active users, our dataset offers statistically significant insights across various demographics and user segments. GDPR and CCPA Compliance: We prioritize user privacy and data protection, ensuring that our data collection and processing methods adhere to the strictest regulatory standards. Real-time Updates: Our clickstream data is continuously refreshed, providing up-to-the-minute insights into evolving online trends and user behaviors. Granular Data Points: We capture a wide array of metrics, including time spent on websites, click patterns, search queries, and user journey flows.

Data Sourcing: Ethical and Transparent Our web browsing clickstream data is sourced through a network of partnered websites and applications. Users explicitly opt-in to data collection, ensuring transparency and consent. We employ advanced anonymization techniques to protect individual privacy while maintaining the integrity and value of the aggregated data. Key aspects of our data sourcing process include:

Voluntary user participation through clear opt-in mechanisms Regular audits of data collection methods to ensure ongoing compliance Collaboration with privacy experts to implement best practices in data anonymization Continuous monitoring of regulatory landscapes to adapt our processes as needed

Primary Use Cases and Verticals TagX Web Browsing clickstream Data serves a multitude of industries and use cases, including but not limited to:

Digital Marketing and Advertising:

Audience segmentation and targeting Campaign performance optimization Competitor analysis and benchmarking

E-commerce and Retail:

Customer journey mapping Product recommendation enhancements Cart abandonment analysis

Media and Entertainment:

Content consumption trends Audience engagement metrics Cross-platform user behavior analysis

Financial Services:

Risk assessment based on online behavior Fraud detection through anomaly identification Investment trend analysis

Technology and Software:

User experience optimization Feature adoption tracking Competitive intelligence

Market Research and Consulting:

Consumer behavior studies Industry trend analysis Digital transformation strategies

Integration with Broader Data Offering TagX Web Browsing clickstream Data is a cornerstone of our comprehensive digital intelligence suite. It seamlessly integrates with our other data products to provide a 360-degree view of online user behavior:

Social Media Engagement Data: Combine clickstream insights with social media interactions for a holistic understanding of digital footprints. Mobile App Usage Data: Cross-reference web browsing patterns with mobile app usage to map the complete digital journey. Purchase Intent Signals: Enrich clickstream data with purchase intent indicators to power predictive analytics and targeted marketing efforts. Demographic Overlays: Enhance web browsing data with demographic information for more precise audience segmentation and targeting.

By leveraging these complementary datasets, businesses can unlock deeper insights and drive more impactful strategies across their digital initiatives. Data Quality and Scale We pride ourselves on delivering high-quality, reliable data at scale:

Rigorous Data Cleaning: Advanced algorithms filter out bot traffic, VPNs, and other non-human interactions. Regular Quality Checks: Our data science team conducts ongoing audits to ensure data accuracy and consistency. Scalable Infrastructure: Our robust data processing pipeline can handle billions of daily events, ensuring comprehensive coverage. Historical Data Availability: Access up to 24 months of historical data for trend analysis and longitudinal studies. Customizable Data Feeds: Tailor the data delivery to your specific needs, from raw clickstream events to aggregated insights.

Empowering Data-Driven Decision Making In today's digital-first world, understanding online user behavior is crucial for businesses across all sectors. TagX Web Browsing clickstream Data empowers organizations to make informed decisions, optimize their digital strategies, and stay ahead of the competition. Whether you're a marketer looking to refine your targeting, a product manager seeking to enhance user experience, or a researcher exploring digital trends, our cli...

The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Australia & Oceania and Asia.

Treasury Media Release 2009

Comprehensive dataset containing 17 verified Internet service provider businesses in Free municipal consortium of Ragusa, Italy with complete contact information, ratings, reviews, and location data.