Preliminary research efforts regarding Social Media Platforms and their contribution to website traffic in LAMs. Through the Similar Web API, the leading social networks (Facebook, Twitter, Youtube, Instagram, Reddit, Pinterest, LinkedIn) that drove traffic to each one of the 220 cases in our dataset were identified and analyzed in the first sheet. Aggregated results proved that Facebook platform was responsible for 46.1% of social traffic (second sheet).

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

We offer three easy-to-understand equity data packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD equity pricing data, standardized financial statement data, and supplementary fundamental datasets.

When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.

• Historical EOD equity prices & technicals (10 years history)
• Security reference data
• Standardized & as-reported financial statements (5 years history)
• 7 supplementary fundamental data sets

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.

When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.

• 15-minute delayed & historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (10 years history)
• 9 supplementary fundamental data sets

Silver Benefits:

• Web API access
• 2,000 API calls/minute limit
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time equity prices
• Historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (full history)
• 9 supplementary fundamental data sets

Gold Benefits:

• No exchange fees
• No user reporting or variable per-user exchange fees
• High liquidity (6%+)
• Web API & WebSocket access
• 2,000 API calls/minute limit
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Access to engineering team
• Concierge customer success team
• Comarketing & promotional initiatives

Platinum

Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.

➡️ DOCS With just the School LinkedIn Profile URL, you can get the structured data of a school/educational institute with tons of data points. Check out our API Docs at ➡ nubela.co/proxycurl/docs

➡️ PRICING MODEL Get the data using our API at just $0.01/credit, with each successful request using up only 1 credit. If you need more advanced data points, use more credits for each API request.

➡️ COVERAGE Our School Profile API covers profiles globally.

➡️ FRESHNESS 88% of our data is fetched in real time, and the API takes 2-3 seconds to complete. If freshness is not a priority, you can choose cached results, which returns immediately.

➡️ LEGAL COMPLIANCE All our data and procedures are in place that meet major legal compliance requirements such as GDPR, CCPA. We help you be compliant too.

CIMIS data is available to the public free of charge via a web Application Programming Interface (API). The CIMIS Web API delivers data over the REST protocol from an enterprise production platform. The system provides reference evapotranspiration (ETo) and weather data from the CIMIS Weather Station Network and the Spatial CIMIS System. Spatial CIMIS provides daily maps of ETo and solar radiation (Rs) data at 2-km grid by coupling remotely sensed satellite data with point measurements from the CIMIS weather stations. In summary, the data provided through the CIMIS Web API is comprised by a) Weather and ETo data registered at the CIMIS Weather Station Network (more than 150 stations located throughout the state of California and b) Spatial CIMIS System data that provides statewide ETo and solar radiation (Rs) data as well as aeraged ETo by zip-codes. The RESTful HTTP services reach a broader range of clients; including Wi-Fi aware irrigation smart controllers as well as browser and mobile applications, all while expanding the delivery options by providing data in either JSON or XML formats.

Description

ISBNdb.com project is a database of books in different languages providing on-line and remote research tools for individuals, librarians, scientists, etc. ISBNDb takes data data from hundreds of libraries across the world.

Has historical book price data: http://isbndb.com/d/news/20060728154603.html

Openness

• Access:
  • Data dump: no
  • Web API: yes
• License: You are allowed (and encouraged) to access data for free via the web api but no explicit license is provided and it is not clear what level of use, reuse or redistribution would be permitted. Also would have concerns about data given that is sourced (via web-scraping) from elsewhere (see below for more details).

Conclusion: Semi-Open and awaiting clarification.

Data Sources

From http://isbndb.com/faq.html

How do you get the data?

ISBNdb.com gets the data in a unique way - it scans libraries all across the world for book information. The scanning is random and similar in a way to how general purpose web search engines scan web sites.

Scanned results are then parsed and stored in a searcheable and browseable database that you see here on ISBNdb.com. An attempt is made at cross-indexing the database by author, publisher, category and so on. Cross indexing is still a work in progress and is likely to improve as the time goes on.

For each book you can see records received for it from different libraries, you can download original MARC record for the book as it was returned by the library.

Another interesting feature is 'Books on the Same Shelf' -- it allows to quickly look up similar books in the same way they would be placed in a real world library. Currently, two classification systems are supported -- Dewey Decimal Classification (trademark of OCLC) and Library of Congress Classification.

Starting late 2004 we also started scanning book merchants for best book prices. You will see best prices for new and used copies on all book pages below the left menu in most cases fraction of a second after you load the book data. Active and historic prices are also available through the data access API.

The growth of the Internet since its inception has fueled strong demand and profitability for web design services, as both businesses and households increasingly conduct activities online. The pandemic accelerated this trend, forcing businesses to upgrade their digital presence amid lockdowns and remote work, which resulted in significant revenue gains for web designers in 2020. This trend continued in 2021 as the strong economic recovery boosted corporate profit and gave businesses greater funds to invest in the industry’s services. More recently, high inflation and rising interest rates have raised costs and curtailed demand, with some businesses opting for cheaper alternatives like templates rather than custom web design, contributing to a drop in revenue in 2022. Despite these challenges, rising stock prices linked to AI advancements pushed business income substantially upward, enabling further investment in web design through 2023 and 2024 and benefiting revenue. However, high inflation and rising interest rates have recently raised costs and curtailed demand, with some businesses opting for cheaper alternatives like templates rather than custom web design. In response to shifting client expectations, web designers now prioritize mobile-first design, rapid performance, personalization and interactive content. These adaptations, along with investments in new technologies, have allowed web designers—especially smaller ones—to differentiate themselves and sustain long-term growth. Overall, revenue for web design services companies has swelled at a CAGR of 2.3% over the past five years, reaching $47.4 billion in 2025. This includes a 1.5% rise in revenue in that year. Market saturation will limit revenue growth for website designers moving forward. With nearly all US adults now using the Internet, opportunities for finding new customers are dwindling as internet usage approaches universality. As a result, major providers may turn to mergers and acquisitions to maintain market share, while smaller companies will likely focus on niche markets or specific geographies to secure stable income. Additionally, tariffs imposed by the Trump administration could further restrain demand by increasing consumer prices, reducing disposable income and pushing the economy toward recession. In response, web designers may expand geographically to find new clients. Amid these headwinds, AI and automation technologies are transforming design workflows, increasing efficiency while fostering a greater need for skilled workers and enabling more tailored services. Companies are also adapting by prioritizing inclusivity and sustainability, attracting broader demographics and eco-conscious clients. Overall, revenue for web design services providers is forecast to inch upward at a CAGR of 1.1% over the next five years, reaching $49.9 billion in 2030.

A system is identified by constructing logical boundaries around a set of processes, communications, storage, and related resources. The elements within these boundaries constitute a single system requiring a security plan. Each element of the system must (1) be under the same direct management control, (2) have the same function or mission objective, (3) have essentially the same operating characteristics and security needs, and (4) reside in the same general operating environment. This service produces a list of FISMA Systems that belong to DHS Components.

The Intelligent API Security market is experiencing robust growth, driven by the increasing adoption of APIs across various industries and the escalating need to protect sensitive data exchanged through these interfaces. The market, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% between 2025 and 2033, reaching a significant market size by the end of the forecast period. This expansion is fueled by several key factors: the rising frequency and sophistication of API-related security breaches, the growing reliance on cloud-native architectures and microservices, and the increasing demand for robust security solutions that can effectively detect and mitigate threats in real-time. Furthermore, the continuous evolution of API attack techniques necessitates the adoption of intelligent security solutions that can adapt to these evolving threats, driving market demand. Leading vendors like Traceable Inc., Ping Identity, and Salt Security are actively contributing to this growth through innovative solutions that leverage AI and machine learning to detect and prevent API-related attacks. The market is segmented by deployment model (cloud-based and on-premises), organization size (small, medium, and large enterprises), and industry vertical. While cloud-based deployments are currently leading the market share due to scalability and cost-effectiveness, the on-premises segment is expected to see steady growth driven by industries with stringent data residency regulations. However, challenges such as the complexity of integrating API security solutions into existing infrastructure and the high cost of implementation remain restraining factors. Nevertheless, the overall market outlook remains positive, with significant opportunities for growth in emerging regions and across various industry verticals.

PredictLeads Key Customers Data provides essential business intelligence by analyzing company relationships, uncovering vendor partnerships, client connections, and strategic affiliations through advanced web scraping and logo recognition. This dataset captures business interactions directly from company websites, offering valuable insights into market positioning, competitive landscapes, and growth opportunities.

Use Cases:

✅ Account Profiling – Gain a 360-degree customer view by mapping company relationships and partnerships. ✅ Competitive Intelligence – Track vendor-client connections and business affiliations to identify key industry players. ✅ B2B Lead Targeting – Prioritize leads based on their business relationships, improving sales and marketing efficiency. ✅ CRM Data Enrichment – Enhance company records with detailed key customer data, ensuring data accuracy. ✅ Market Research – Identify emerging trends and industry networks to optimize strategic planning.

Key API Attributes:

• id (string, UUID) – Unique identifier for the company connection.
• category (string) – Type of relationship (e.g., vendor, client, partner).
• source_category (string) – Where the connection was detected (e.g., partner page, case study).
• source_url (string, URL) – Website where the relationship was found.
• individual_source_url (string, URL) – Specific page confirming the connection.
• context (string) – Extracted description of the business relationship (e.g., "Company X - partners with Company Y to enhance payment processing").
• first_seen_at (ISO 8601 date-time) – Date the connection was first detected.
• last_seen_at (ISO 8601 date-time) – Most recent confirmation of the relationship.
• company1 & company2 (objects) – Details of the two connected companies, including:
• - domain (string) – Company website domain.
• - company_name (string) – Official company name.
• - ticker (string, nullable) – Stock ticker, if available.

📌 PredictLeads Key Customers Data is an indispensable tool for B2B sales, marketing, and market intelligence teams, providing actionable relationship insights to drive targeted outreach, competitor tracking, and strategic decision-making.

PredictLeads Docs: https://docs.predictleads.com/v3/guide/connections_dataset

DataForSEO will land you with accurate data for a SERP monitoring solution. In particular, our SERP API provides data from:

• Google Organic search, Maps, News, and Images tabs in vertical search
• Bing Organic and Local Pack search
• Yahoo, Yandex, Baidu, and Naver search

For each of the search engines, we support all possible locations. You can set any keyword, location, and language, as well as define additional parameters, e.g. time frame, category, number of results.

You can set the device and the OS that you want to obtain SERP results for. We support Android/iOS for mobile and Windows/macOS for desktop.

We can supply you with all organic, paid, and extra Google SERP elements, including featured snippet, answer box, knowledge graph, local pack, map, people also ask, people also search, and more.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

The API Monetization Platform market is experiencing robust growth, driven by the increasing adoption of APIs across various industries and the need for businesses to generate revenue from their API assets. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 25% through 2033, reaching approximately $25 billion by the end of the forecast period. This expansion is fueled by several key factors, including the rise of microservices architecture, the growing demand for real-time data integration, and the increasing sophistication of API management tools. Major players like Amazon Web Services, Google, Microsoft, and IBM are driving innovation and market penetration through their comprehensive platform offerings, fostering a competitive yet dynamic landscape. Furthermore, the emergence of innovative monetization models, such as freemium and pay-as-you-go pricing, are contributing to market expansion. The market’s segmentation reflects diverse application areas, including financial services, healthcare, and e-commerce, each with unique API monetization requirements and opportunities. The restraints to growth include the challenges associated with secure API management, the complexity of pricing strategies, and the need for robust developer support. The competitive landscape is characterized by a mix of established technology giants and specialized API management providers. Established players leverage their existing infrastructure and customer base, while smaller companies focus on niche functionalities and innovative solutions. The market is witnessing strategic partnerships and mergers and acquisitions, highlighting the increasing importance of API monetization as a core revenue stream for businesses. Geographical distribution shows significant market concentration in North America and Europe, although rapidly developing economies in Asia-Pacific are emerging as significant growth drivers. The ongoing trend towards cloud-native architectures further accelerates the adoption of API monetization platforms, creating significant opportunities for innovation and market expansion in the coming years. The focus on enhancing developer experience and providing comprehensive analytics dashboards is crucial for securing market share and driving future growth.

The Web Application Firewall (WAF) and API protection market is experiencing robust growth, driven by the increasing adoption of cloud-based applications and the escalating frequency and sophistication of cyberattacks targeting web applications and APIs. The market's expansion is fueled by several key factors, including the rising need to secure sensitive data, comply with stringent industry regulations like GDPR and CCPA, and protect against increasingly prevalent threats such as DDoS attacks, SQL injection, and cross-site scripting (XSS). Small and medium-sized enterprises (SMEs) are rapidly adopting WAF and API security solutions, recognizing the vulnerability of their web assets to cyber threats. This segment is expected to show significant growth in the forecast period, driven by rising awareness of cybersecurity risks and the availability of cost-effective solutions. Large enterprises, already significant players, continue to invest heavily, focusing on advanced functionalities like bot protection and AI-driven threat detection. The market is witnessing a shift towards cloud-delivered WAFs and API protection, offering scalability, flexibility, and reduced infrastructure management costs. Geographic growth is also notable, with North America currently dominating, followed by Europe and Asia Pacific. However, growth is expected to accelerate in Asia Pacific and other developing regions due to increasing internet penetration and digital transformation initiatives. The competitive landscape is highly dynamic, with established players like Cloudflare, Akamai, and Palo Alto Networks vying for market share alongside emerging vendors offering innovative solutions. Competition is intensifying, characterized by price wars, technological innovation, and strategic partnerships. Key differentiators include advanced threat detection capabilities, ease of deployment, integration with existing security infrastructure, and superior customer support. The market is projected to continue its strong growth trajectory, propelled by the ever-increasing reliance on web applications and APIs across all sectors. While challenges such as cost of implementation and skilled cybersecurity personnel shortages exist, the inherent value proposition of WAFs and API protection ensures consistent market expansion. Future growth will likely be influenced by the evolution of attack techniques, advancements in AI and machine learning for threat detection, and the rising adoption of serverless architectures.

Businesses, researchers, and developers often seek out web activity datasets and databases to: Understand consumer behavior. Train machine learning models. Perform market research or competitor analysis. Optimize user experience on websites. Personalize content and advertising. This data can be used for a variety of different use cases

This dataset provides comprehensive real-time data from Amazon's global marketplaces. It includes detailed product information, reviews, seller profiles, best sellers, deals, influencers, and more across all Amazon domains worldwide. The data covers product attributes like pricing, availability, specifications, reviews and ratings, as well as seller information including profiles, contact details, and performance metrics. Users can leverage this dataset for price monitoring, competitive analysis, market research, and building e-commerce applications. The API enables real-time access to Amazon's vast product catalog and marketplace data, helping businesses make data-driven decisions about pricing, inventory, and market positioning. Whether you're conducting market analysis, tracking competitors, or building e-commerce tools, this dataset provides current and reliable Amazon marketplace data. The dataset is delivered in a JSON format via REST API.

The API penetration testing tool market is experiencing robust growth, driven by the increasing adoption of APIs across various industries and the escalating need to secure these critical digital assets. The market's expansion is fueled by several key factors: the rising prevalence of cloud-based applications and microservices architectures, which inherently increase the attack surface; a growing awareness of API security vulnerabilities and their potential for significant data breaches and financial losses; and the increasing sophistication of API-focused attacks. The market is segmented by application (SMEs and large enterprises) and deployment type (cloud-based and on-premises), with cloud-based solutions witnessing faster growth due to their scalability and cost-effectiveness. While North America currently holds a significant market share, regions like Asia-Pacific are exhibiting rapid expansion, driven by increasing digitalization and investment in cybersecurity infrastructure. The competitive landscape is characterized by a mix of established players and emerging startups offering diverse solutions, ranging from automated scanning tools to more comprehensive penetration testing platforms. This competitive dynamic fosters innovation and drives down prices, making these tools accessible to a broader range of organizations. The restraints to market growth primarily include the complexity of API security testing, the shortage of skilled cybersecurity professionals capable of effectively utilizing these tools, and the initial investment costs associated with implementation and training. However, these challenges are being addressed through the development of user-friendly tools with intuitive interfaces, increased availability of training resources, and the emergence of managed security service providers (MSSPs) offering API penetration testing as a service. Future market growth is projected to remain strong, driven by continuous technological advancements, expanding regulatory compliance requirements (e.g., GDPR, CCPA), and heightened awareness of the financial and reputational consequences of API security breaches. The market is poised for sustained growth throughout the forecast period, with a projected CAGR of approximately 15% (a reasonable estimate based on the rapid adoption of cloud technologies and increasing cybersecurity concerns). This implies a significant expansion of market size from an estimated $2 billion in 2025 to well over $5 billion by 2033.

Visit >>> Code with Mosh - Spring Boot Mastering REST API Development Overview A Course You ll Actually Finish Spring Boot: Mastering REST API Development Build REST APIs, secure them with Spring Security, process payments with Stripe, and deploy like a pro About the Course Spring Boot is one of the most in-demand frameworks for modern backend development—and this course takes you beyond the basics to help you build, secure, and deploy real-world applications with confidence. This is Part 2 of the ultimate Spring Boot series. In Part 1, you mastered the fundamentals. In this part, we’ll put that knowledge into practice by building and deploying the backend for a real e-commerce application. You’ll learn how to build clean and secure RESTful APIs, implement authentication and role-based access control, integrate with Stripe for payment processing, and deploy your application to the cloud. This course goes

The global market for data scraping tools is experiencing robust growth, projected to reach $2789.5 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 27.8% from 2025 to 2033. This significant expansion is fueled by several key drivers. The increasing reliance on data-driven decision-making across diverse sectors, from e-commerce and investment analysis to market research and competitive intelligence, is creating a substantial demand for efficient and accurate data extraction solutions. Furthermore, the proliferation of readily available online data, coupled with the advancements in web scraping technologies (like AI-powered tools and improved automation capabilities), contributes to market acceleration. The market is segmented by pricing model (pay-to-use and free-to-use) and application (e-commerce, investment analysis, and others), reflecting the diverse needs of various user groups. The competitive landscape is dynamic, with established players like Scraper API, Octoparse, and ParseHub competing alongside open-source options like Scrapy and libraries like BeautifulSoup and Cheerio. Regional growth is expected to be substantial across North America, Europe, and the Asia-Pacific region, driven by technological advancements and increasing digitalization. However, challenges remain, including concerns around legal compliance (respecting website terms of service and avoiding copyright infringement), the need to manage data quality and accuracy, and the ongoing evolution of website structures that necessitate constant adaptation of scraping tools. The future outlook for the data scraping tools market remains positive, with the continued growth expected to be driven by the increasing sophistication of data analytics techniques, the growing adoption of cloud-based scraping solutions, and the expansion of the internet of things (IoT). The market's evolution is likely to see an increase in specialized tools catering to niche data sources and a stronger emphasis on ethical and responsible data scraping practices. Companies are expected to invest further in developing more robust and user-friendly interfaces for their data scraping tools, making them accessible to a wider range of users, regardless of their technical expertise. The integration of artificial intelligence and machine learning into data scraping technologies will also play a crucial role in enhancing the accuracy and efficiency of data extraction, further fueling market growth.

Our lobbying data is collected and aggregated from the U.S. Senate Office of Public Records from 1999-present and is updated on a regular basis. We utilize advanced data science techniques to ensure accurate data points are collected and ingested, match similar entities across time, and tickerize publicly traded companies that lobby.

Our comprehensive and advanced lobbying data API is completed with all the information you need, with more than 1.6 million lobbying contracts ready-for-analysis. We include detailed information on all aspects of federal lobbying, including the following fascinating attributes, among much more:

1. Clients: The publicly traded company, privately owned company, interest group, NGO, or state or local government that employs or retains a lobbyist or lobbying firm.

2. Registrants (Lobbying Firms): Either the name of the lobbying firm hired by the client, or the name of the client if the client employs in-house lobbyists.

3. Lobbyists: The names and past government work experience of the individual lobbyists working on a lobbying contract.

4. General Issues: The general issues for which clients lobby on (ex: ENV - Environment, TOB - Tobacco, FAM - Family Issues/Abortion).

5. Specific Issues: A long text description of the exact bills and specific issues for which clients lobby on.

6. Bills Lobbied On: A parsed version of Specific Issues that catches specific HR, PL, and ACTS lobbied on (ex: H.R. 2347, S. 1117, Tax Cuts and Jobs Act).

7. Agencies Lobbied: The names of one or more of 250+ government agencies lobbied on in the contract (ex: White House, FDA, DOD).

8. Foreign Entities: The names and origin countries of entities affiliated with the client (ex: BNP Paribas: France).

Using our intelligently designed & curated data quality and easy-to-understand API documentation, researchers can easily query for data by company, organization, lobbying firm, or ticker symbol. Data is returned in standard JSON format and is ready-for-analysis.

Gain access to our highly unique and actionable U.S. lobbying data API. Further information on LobbyingData.com and our alternative datasets and database can be found on our website, or by contacting us through Datarade.

The global web crawler tool market is experiencing robust growth, driven by the increasing need for data extraction and analysis across diverse sectors. The market's expansion is fueled by the exponential growth of online data, the rise of big data analytics, and the increasing adoption of automation in business processes. Businesses leverage web crawlers for market research, competitive intelligence, price monitoring, and lead generation, leading to heightened demand. While cloud-based solutions dominate due to scalability and cost-effectiveness, on-premises deployments remain relevant for organizations prioritizing data security and control. The large enterprise segment currently leads in adoption, but SMEs are increasingly recognizing the value proposition of web crawling tools for improving business decisions and operations. Competition is intense, with established players like UiPath and Scrapy alongside a growing number of specialized solutions. Factors such as data privacy regulations and the complexity of managing web crawlers pose challenges to market growth, but ongoing innovation in areas such as AI-powered crawling and enhanced data processing capabilities are expected to mitigate these restraints. We estimate the market size in 2025 to be $1.5 billion, growing at a CAGR of 15% over the forecast period (2025-2033). The geographical distribution of the market reflects the global nature of internet usage, with North America and Europe currently holding the largest market share. However, the Asia-Pacific region is anticipated to witness significant growth driven by increasing internet penetration and digital transformation initiatives across countries like China and India. The ongoing development of more sophisticated and user-friendly web crawling tools, coupled with decreasing implementation costs, is projected to further stimulate market expansion. Future growth will depend heavily on the ability of vendors to adapt to evolving web technologies, address increasing data privacy concerns, and provide robust solutions that cater to the specific needs of various industry verticals. Further research and development into AI-driven crawling techniques will be pivotal in optimizing efficiency and accuracy, which in turn will encourage wider adoption.