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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.

The source for raw agency-submitted financial assistance files and quarterly DATA Act files (which include account, contract, financial assistance, and subaward data). This agency data is submitted directly by agencies or pulled in from external federal systems. All data is presented to agency Senior Accountable Officials for review and certification via the DATA Act Broker. These submissions form the primary basis for the data displayed on the USAspending.gov website.

Online Brokers for Stock Trading Market Outlook

The global market size for online brokers for stock trading was valued at USD 14.8 billion in 2023 and is projected to reach USD 35.6 billion by 2032, growing at a CAGR of 10.2% from 2024 to 2032. The substantial growth in this market is primarily driven by the increased adoption of online trading platforms among retail and institutional investors. Factors such as technological advancements, greater accessibility to financial markets, and the proliferation of internet and mobile device usage have significantly contributed to this market's expansion.

One of the primary growth factors in the online brokers for stock trading market is the technological advancement in trading platforms. The integration of artificial intelligence, machine learning, and blockchain technology has revolutionized trading operations, making them more efficient and secure. These technological innovations provide traders with real-time data, sophisticated analytics, and automated trading options, enhancing their trading experience and success rates. The continuous improvement and innovation in trading software and tools are expected to drive market growth further.

Another significant growth driver is the increased accessibility to financial markets. The democratization of stock trading, enabled by online platforms, has opened up investment opportunities to a broader audience. Retail investors, who previously found it challenging to enter the stock market due to high costs and complex procedures, now benefit from lower fees, user-friendly interfaces, and educational resources provided by online brokers. This increased accessibility has led to a surge in the number of active traders, thereby boosting market growth.

Additionally, the proliferation of internet and mobile device usage has played a crucial role in the market's growth. The widespread use of smartphones and high-speed internet has made it easier for investors to trade stocks from anywhere and at any time. Mobile-based trading platforms offer convenience and flexibility, attracting a younger demographic and contributing to the market's expansion. The growing trend of mobile trading and the development of dedicated trading apps are expected to further propel market growth in the coming years.

From a regional perspective, North America holds the largest share in the online brokers for stock trading market, followed by Europe and Asia Pacific. North America's dominance can be attributed to its well-established financial markets, high internet penetration, and the presence of major online broker firms. Europe is also witnessing significant growth due to favorable regulatory environments and technological advancements. The Asia Pacific region is expected to experience the highest growth rate during the forecast period, driven by emerging markets, increasing internet penetration, and a growing middle-class population with rising disposable incomes.

Platform Type Analysis

The platform type segment of the online brokers for stock trading market is categorized into web-based, mobile-based, and desktop-based platforms. Web-based platforms dominate the market due to their widespread adoption and ease of access. These platforms offer comprehensive functionalities, including real-time data, market analysis, and trading execution, making them popular among both retail and institutional investors. The continuous development and enhancement of web-based platforms are expected to maintain their dominance in the market.

Mobile-based platforms are witnessing rapid growth, driven by the increasing use of smartphones and the demand for on-the-go trading solutions. These platforms provide users with flexibility and convenience, allowing them to trade stocks anytime and anywhere. The development of advanced mobile trading apps with user-friendly interfaces, real-time notifications, and secure transactions is attracting a younger demographic of investors. The growth of mobile-based platforms is expected to outpace other platform types during the forecast period.

Desktop-based platforms, although declining in popularity compared to web and mobile platforms, still maintain a significant user base. These platforms are preferred by professional and institutional investors who require advanced trading tools, customizability, and high-speed data processing capabilities. Desktop-based platforms offer robust features such as algorithmic trading, charting tools, and direct market access, catering to the needs of experienced traders. Despite the rise of web an

A collection of 22 data set of 50+ requirements each, expressed as user stories.

The dataset has been created by gathering data from web sources and we are not aware of license agreements or intellectual property rights on the requirements / user stories. The curator took utmost diligence in minimizing the risks of copyright infringement by using non-recent data that is less likely to be critical, by sampling a subset of the original requirements collection, and by qualitatively analyzing the requirements. In case of copyright infringement, please contact the dataset curator (Fabiano Dalpiaz, f.dalpiaz@uu.nl) to discuss the possibility of removal of that dataset [see Zenodo's policies]

The data sets have been originally used to conduct experiments about ambiguity detection with the REVV-Light tool: https://github.com/RELabUU/revv-light

This collection has been originally published in Mendeley data: https://data.mendeley.com/datasets/7zbk8zsd8y/1

Overview of the datasets [data and links added in December 2024]

The following text provides a description of the datasets, including links to the systems and websites, when available. The datasets are organized by macro-category and then by identifier.

Public administration and transparency

g02-federalspending.txt (2018) originates from early data in the Federal Spending Transparency project, which pertain to the website that is used to share publicly the spending data for the U.S. government. The website was created because of the Digital Accountability and Transparency Act of 2014 (DATA Act). The specific dataset pertains a system called DAIMS or Data Broker, which stands for DATA Act Information Model Schema. The sample that was gathered refers to a sub-project related to allowing the government to act as a data broker, thereby providing data to third parties. The data for the Data Broker project is currently not available online, although the backend seems to be hosted in GitHub under a CC0 1.0 Universal license. Current and recent snapshots of federal spending related websites, including many more projects than the one described in the shared collection, can be found here.

g03-loudoun.txt (2018) is a set of extracted requirements from a document, by the Loudoun County Virginia, that describes the to-be user stories and use cases about a system for land management readiness assessment called Loudoun County LandMARC. The source document can be found here and it is part of the Electronic Land Management System and EPlan Review Project - RFP RFQ issued in March 2018. More information about the overall LandMARC system and services can be found here.

g04-recycling.txt(2017) concerns a web application where recycling and waste disposal facilities can be searched and located. The application operates through the visualization of a map that the user can interact with. The dataset has obtained from a GitHub website and it is at the basis of a students' project on web site design; the code is available (no license).

g05-openspending.txt (2018) is about the OpenSpending project (www), a project of the Open Knowledge foundation which aims at transparency about how local governments spend money. At the time of the collection, the data was retrieved from a Trello board that is currently unavailable. The sample focuses on publishing, importing and editing datasets, and how the data should be presented. Currently, OpenSpending is managed via a GitHub repository which contains multiple sub-projects with unknown license.

g11-nsf.txt (2018) refers to a collection of user stories referring to the NSF Site Redesign & Content Discovery project, which originates from a publicly accessible GitHub repository (GPL 2.0 license). In particular, the user stories refer to an early version of the NSF's website. The user stories can be found as closed Issues.

(Research) data and meta-data management

g08-frictionless.txt (2016) regards the Frictionless Data project, which offers an open source dataset for building data infrastructures, to be used by researchers, data scientists, and data engineers. Links to the many projects within the Frictionless Data project are on GitHub (with a mix of Unlicense and MIT license) and web. The specific set of user stories has been collected in 2016 by GitHub user @danfowler and are stored in a Trello board.

g14-datahub.txt (2013) concerns the open source project DataHub, which is currently developed via a GitHub repository (the code has Apache License 2.0). DataHub is a data discovery platform which has been developed over multiple years. The specific data set is an initial set of user stories, which we can date back to 2013 thanks to a comment therein.

g16-mis.txt (2015) is a collection of user stories that pertains a repository for researchers and archivists. The source of the dataset is a public Trello repository. Although the user stories do not have explicit links to projects, it can be inferred that the stories originate from some project related to the library of Duke University.

g17-cask.txt (2016) refers to the Cask Data Application Platform (CDAP). CDAP is an open source application platform (GitHub, under Apache License 2.0) that can be used to develop applications within the Apache Hadoop ecosystem, an open-source framework which can be used for distributed processing of large datasets. The user stories are extracted from a document that includes requirements regarding dataset management for Cask 4.0, which includes the scenarios, user stories and a design for the implementation of these user stories. The raw data is available in the following environment.

g18-neurohub.txt (2012) is concerned with the NeuroHub platform, a neuroscience data management, analysis and collaboration platform for researchers in neuroscience to collect, store, and share data with colleagues or with the research community. The user stories were collected at a time NeuroHub was still a research project sponsored by the UK Joint Information Systems Committee (JISC). For information about the research project from which the requirements were collected, see the following record.

g22-rdadmp.txt (2018) is a collection of user stories from the Research Data Alliance's working group on DMP Common Standards. Their GitHub repository contains a collection of user stories that were created by asking the community to suggest functionality that should part of a website that manages data management plans. Each user story is stored as an issue on the GitHub's page.

g23-archivesspace.txt (2012-2013) refers to ArchivesSpace: an open source, web application for managing archives information. The application is designed to support core functions in archives administration such as accessioning; description and arrangement of processed materials including analog, hybrid, and
born digital content; management of authorities and rights; and reference service. The application supports collection management through collection management records, tracking of events, and a growing number of administrative reports. ArchivesSpace is open source and its

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Binary Options Broker Market Outlook

The Binary Options Broker market size was valued at USD 2.8 billion in 2023 and is expected to reach USD 6.5 billion by 2032, growing at a CAGR of 9.5% over the forecast period. The market growth is driven by the increasing popularity of binary options trading among individual traders, the rising deployment of advanced trading platforms, and the surge in mobile-based trading applications.

One of the primary growth factors for the Binary Options Broker market is the increasing accessibility of trading platforms. With the advancement in technology and the internet, more individuals have gained access to trading platforms that were once exclusive to professional traders. The proliferation of web-based and mobile-based trading platforms has democratized trading, allowing individuals with minimal trading knowledge to participate in binary options trading. This accessibility has significantly contributed to the market's growth.

Another crucial factor driving market growth is the growing interest in financial trading as a means of investment diversification. Investors are increasingly looking for alternative investment avenues to diversify their portfolios and hedge against market volatility. Binary options trading offers a straightforward and potentially profitable way to engage in financial markets without the complexities associated with traditional trading methods. This simplicity and potential for high returns make binary options an attractive option for both novice and experienced investors.

Furthermore, the rise in disposable incomes and the increasing financial literacy among the global population have also fueled the growth of the Binary Options Broker market. As more people become financially literate, they are more likely to explore various investment opportunities, including binary options trading. Additionally, the increased availability of educational resources and trading tutorials has empowered more individuals to take up binary options trading, thereby expanding the market.

Regionally, the market exhibits significant potential in Asia Pacific, North America, and Europe. Asia Pacific is witnessing rapid growth due to the increasing number of traders and the rising acceptance of binary options trading in countries like China, India, and Japan. North America and Europe remain dominant markets due to their well-established financial trading infrastructure and higher disposable incomes. However, the Middle East & Africa and Latin America are also emerging as lucrative markets, driven by increasing internet penetration and growing interest in alternative investment options.

Trading Platform Analysis

The Binary Options Broker market is segmented by trading platform into web-based, mobile-based, and desktop-based platforms. Each of these platforms offers unique advantages and caters to different trader preferences, contributing to the overall growth and diversification of the market.

Web-based trading platforms are highly popular due to their ease of access and user-friendly interfaces. These platforms do not require any software installation, making them accessible from any device with an internet connection. This flexibility attracts a wide range of traders, from beginners to experienced professionals, and supports the market's growth by providing a convenient and versatile trading solution.

Mobile-based trading platforms, on the other hand, are gaining traction rapidly, driven by the increasing use of smartphones and mobile internet. Traders are looking for the convenience of on-the-go trading, and mobile apps provide them with the flexibility to monitor and execute trades anytime and anywhere. The continuous advancements in mobile technology and the development of sophisticated trading apps with real-time data and analytics are further propelling the growth of mobile-based trading platforms.

Desktop-based trading platforms, although not as popular as their web and mobile counterparts, still hold a significant share of the market. These platforms are typically preferred by professional traders who require advanced analytical tools, high-speed execution, and a stable trading environment. The comprehensive features and robust performance of desktop-based platforms cater to the needs of serious traders who rely on in-depth market analysis and quick decision-making.

Overall, the diversification of trading platforms within the Binary Options Broker market ensures that traders have access to

The Integration Brokerage Software market, currently valued at $250 million in 2025, is projected to experience robust growth, driven by the increasing need for seamless data integration across diverse enterprise systems and the expanding adoption of cloud-based solutions. The market's Compound Annual Growth Rate (CAGR) of 8.9% from 2025 to 2033 indicates a significant expansion over the forecast period. Key drivers include the rising complexity of IT landscapes, the need for real-time data exchange, and the growing adoption of digital transformation strategies across various industries. Large enterprises are currently the major consumers, but the burgeoning adoption of cloud-based solutions amongst SMEs presents a substantial opportunity for growth. The market segmentation by application (Large Enterprises, SMEs) and type (Cloud-based, Web-based) reveals a dynamic landscape with distinct growth trajectories for each segment. While cloud-based solutions are expected to lead the growth given their scalability and cost-effectiveness, web-based solutions will continue to hold a significant market share due to established user bases and legacy system integration needs. Geographic expansion, particularly in the Asia Pacific region driven by increasing digitalization in developing economies like India and China, will further fuel market growth. Competitive pressures stemming from established players such as Oracle and newer entrants are expected to drive innovation and price optimization. The competitive landscape is characterized by a mix of established players with extensive market reach and newer, agile companies focused on niche solutions. Companies like SPS, APIANT, Covisint, EDICOM, NeoGrid, Oracle, Cleo, TrueCommerce, eZCom Software, and Logicbroker are shaping the market with their unique offerings. However, factors like high initial investment costs and the complexity of integration processes could act as restraints. Future growth will largely depend on the continued adoption of cloud-based solutions, improvements in integration technologies, and the development of more user-friendly and cost-effective solutions. Furthermore, the increasing demand for secure and reliable data exchange will shape vendor strategies and drive innovation within the market. Overall, the Integration Brokerage Software market presents a promising growth outlook driven by strong technological advancements and evolving business needs.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The global SaaS security market is experiencing robust growth, driven by the increasing adoption of cloud-based applications and services by businesses of all sizes. The shift towards remote work models accelerated this trend, necessitating robust security solutions that can protect data and applications accessed remotely. This market is characterized by a high level of competition among established players like Cisco Systems, McAfee, and Symantec, as well as emerging specialized vendors. The market's expansion is further fueled by the rising incidence of cyberattacks targeting cloud environments, emphasizing the critical need for comprehensive security measures. We estimate the market size in 2025 to be approximately $25 billion, considering typical growth rates in the cybersecurity sector and the expanding adoption of SaaS. A Compound Annual Growth Rate (CAGR) of 15% is projected for the forecast period (2025-2033), indicating significant future potential. Key segments driving this growth include cloud access security brokers (CASB), secure web gateways (SWG), and data loss prevention (DLP) solutions. The North American market currently holds the largest share, followed by Europe and Asia-Pacific, but the latter two regions are poised for substantial growth due to increasing digitalization and infrastructure development. Market restraints include the complexity of integrating SaaS security solutions with existing IT infrastructures, concerns over data privacy and compliance, and the evolving nature of cyber threats requiring constant updates and adaptation. Segmentation within the market includes various deployment models (cloud, on-premises, hybrid) and application types (email security, endpoint security, network security). While large enterprises are currently the primary adopters of SaaS security solutions, the growing adoption among small and medium-sized businesses (SMBs) is a key factor expected to fuel market expansion in the coming years. Continued innovation in areas such as artificial intelligence (AI) and machine learning (ML) for threat detection and response will be crucial for sustaining the market's momentum. The projected market value by 2033, based on the 15% CAGR, is estimated to be over $100 billion, showcasing the enormous potential for continued investment and growth within this critical sector.

Title: GatorByte – An Internet of Things-based Low-Cost, Compact, And Real-time Water Resource Monitoring Buoy

Abstract: Water-quality monitoring systems available today are usually expensive and have low-temporal resolution and lack spatial dimension entirely. These systems are typically available as stations or handheld devices. Pinpointing sources of pollution using these systems is difficult. This project involves developing a high-resolution free-flowing monitoring buoy that records spatiotemporal water-quality data. The system is highly customizable, and even users with limited experience in programming or electronics can tailor GatorByte for their needs. The platform includes a datalogger, cloud-based server, and visualization tools. The datalogger uses low-cost sensors, electronic peripherals, a 3D-printed enclosure, and Printed Circuit Boards, bringing the cost per unit under $1000. The datalogger uses an NB-IoT-capable Arduino for real-time reporting and visualizing sensor data. The GatorByte records physiochemical water metrics – pH, temperature, dissolved oxygen, electroconductivity, and the current location of the buoy using a GPS module. The datalogger also includes micro-SD storage, and Bluetooth module for on-field diagnostics. Using GatorByte buoy, collection of variations in water quality data in temporal as well as spatial dimension can be achieved in a cost-effective and reliable manner, enabling quick detection and resolution of pollution events.

Description: This repository contains the source for the GatorByte dashboard, the web server, and the MQTT broker.