81368 Global import shipment records of Crawler with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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.

According to Cognitive Market Research, The Global Anti crawling Techniques market size is USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of 6.00% from 2023 to 2030.

North America Anti crawling Techniques held the major market of more than 40% of the global revenue and will grow at a compound annual growth rate (CAGR) of 4.2% from 2023 to 2030.
Europe Anti crawling Techniques accounted for a share of over 30% of the global market and are projected to expand at a compound annual growth rate (CAGR) of 4.5% from 2023 to 2030.
Asia Pacific Anti crawling Techniques held the market of more than 23% of the global revenue and will grow at a compound annual growth rate (CAGR) of 8.0% from 2023 to 2030.
South American Anti crawling Techniques market of more than 5% of the global revenue and will grow at a compound annual growth rate (CAGR) of 5.4% from 2023 to 2030.
Middle East and Africa Anti crawling Techniques held the major market of more than 2% of the global revenue and will grow at a compound annual growth rate (CAGR) of 5.7% from 2023 to 2030.
The market for anti-crawling techniques has grown dramatically as a result of the increasing number of data breaches and public awareness of the need to protect sensitive data. 
Demand for bot fingerprint databases remains higher in the anti crawling techniques market.
The content protection category held the highest anti crawling techniques market revenue share in 2023.

Increasing Demand for Protection and Security of Online Data to Provide Viable Market Output

The market for anti-crawling techniques is expanding due in large part to the growing requirement for online data security and protection. Due to an increase in digital activity, organizations are processing and storing enormous volumes of sensitive data online. Organizations are being forced to invest in strong anti-crawling techniques due to the growing threat of data breaches, illegal access, and web scraping occurrences. By protecting online data from harmful activity and guaranteeing its confidentiality and integrity, these technologies advance the industry. Moreover, the significance of protecting digital assets is increased by the widespread use of the Internet for e-commerce, financial transactions, and sensitive data transfers. Anti-crawling techniques are essential for reducing the hazards connected to online scraping, which is a tactic often used by hackers to obtain important data.

Increasing Incidence of Cyber Threats to Propel Market Growth

The growing prevalence of cyber risks, such as site scraping and data harvesting, is driving growth in the market for anti-crawling techniques. Organizations that rely significantly on digital platforms run a higher risk of having illicit data extracted. In order to safeguard sensitive data and preserve the integrity of digital assets, organizations have been forced to invest in sophisticated anti-crawling techniques that strengthen online defenses. Moreover, the market's growth is a reflection of growing awareness of cybersecurity issues and the need to put effective defenses in place against changing cyber threats. Moreover, cybersecurity is constantly challenged by the spread of advanced and automated crawling programs. The ever-changing threat landscape forces enterprises to implement anti-crawling techniques, which use a variety of tools like rate limitation, IP blocking, and CAPTCHAs to prevent fraudulent scraping efforts.

Market Restraints of the Anti crawling Techniques

Increasing Demand for Ethical Web Scraping to Restrict Market Growth

The growing desire for ethical web scraping presents a unique challenge to the anti-crawling techniques market. Ethical web scraping is the process of obtaining data from websites for lawful objectives, such as market research or data analysis, but without breaching the terms of service. Furthermore, the restraint arises because anti-crawling techniques must distinguish between criminal and ethical scraping operations, finding a balance between preventing websites from misuse and permitting authorized data harvest. This dynamic calls for more complex and adaptable anti-crawling techniques to distinguish between destructive and ethical scrapping actions.

Impact of COVID-19 on the Anti Crawling Techniques Market

The demand for online material has increased as a result of the COVID-19 pandemic, which has...

Discover the booming Web Crawler Tool market! This analysis reveals key trends, drivers, and restraints, plus a detailed look at leading companies like Scrapy, Mozenda, and UiPath. Learn about market size projections, CAGR, and regional market share for informed decision-making.

Originally designed to carry the towering Saturn V moon rocket from the Vehicle Assembly Building to the seaside launch site, the enormous transporters now carry the space shuttles to the launch pads for liftoff. Polygons: 146050 Vertices: 141658

133 Global import shipment records of Hydraulic Crawler Crane with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Dataset

This dataset was created by Long Vũ Hoàng

Released under MIT

Contents

A corpus of web crawl data composed of 5 billion web pages. This data set is freely available on Amazon S3 at s3://aws-publicdatasets/common-crawl/crawl-002/ and formatted in the ARC (.arc) file format.

Common Crawl is a non-profit organization that builds and maintains an open repository of web crawl data for the purpose of driving innovation in research, education and technology. This data set contains web crawl data from 5 billion web pages and is released under the Common Crawl Terms of Use.

How to use this data?

After download this repo, use cat to get zip file: cat baidu_wiki_part_* > merge.zip

Then simply, unzip this zip file unzip merge.zip

  What is in this data?





  Image(Screenshot)

Raw images are in images folder. /wikihow$ ls data/images | head -5 1111-4.jpg 111-15.jpg 1-draw-7.png 20200613_130717.jpg 22-19.jpg

  Index page

Index page is a collection of web urls. This is how we start to crawl these websites. wikihow$ cat… See the full description on the dataset page: https://huggingface.co/datasets/Bofeee5675/GUI-Net-Crawler.

Subsea Crawler Market Outlook

The global subsea crawler market size is projected to grow from USD 1.2 billion in 2023 to USD 2.5 billion by 2032, at a CAGR of 8.5% during the forecast period. This significant growth is primarily driven by the rising demand for subsea exploration and underwater construction activities, particularly in the oil & gas and marine research sectors. The increasing focus on deep-sea mining and the growing need for underwater maintenance of infrastructure are also key factors contributing to the market's expansion.

One of the primary growth factors for the subsea crawler market is the robust demand from the oil and gas industry. As global energy needs continue to rise, the industry is compelled to explore new offshore reserves, which necessitates the use of advanced underwater robotics like subsea crawlers. These crawlers are crucial for tasks such as pipeline inspection, maintenance, and repair in challenging underwater environments. The increasing number of offshore drilling activities, combined with the aging underwater infrastructure, is expected to keep the demand for subsea crawlers high over the coming years.

Another significant growth driver is the advancement in subsea technologies. Innovations in robotics, artificial intelligence, and sensor technologies have greatly enhanced the capabilities of subsea crawlers, making them more efficient and reliable. These technological advancements have expanded the application range of subsea crawlers beyond traditional sectors. For instance, their use in marine research has grown as researchers seek to explore the deep sea and its ecosystems. The enhanced maneuverability, data collection, and operational efficiency of modern subsea crawlers make them invaluable tools for scientific exploration.

The growing interest in underwater construction and infrastructure development is also fueling market growth. Subsea crawlers play a critical role in the construction and maintenance of underwater facilities such as dams, bridges, and tunnels. Their ability to perform complex tasks in harsh underwater conditions makes them indispensable for ensuring the structural integrity and longevity of such projects. Additionally, the use of subsea crawlers in military and defense applications, such as mine detection and underwater reconnaissance, is further bolstering the market.

The regional outlook for the subsea crawler market is promising, with significant growth expected across various regions. North America and Europe are anticipated to lead the market due to their advanced technological infrastructure and substantial investments in offshore oil and gas activities. The Asia Pacific region is also expected to witness significant growth, driven by increasing offshore exploration activities and investments in underwater infrastructure. Latin America and the Middle East & Africa are emerging markets with growing potential, particularly in the oil and gas sector.

The integration of Subsea Mining Equipment and Transportation systems is becoming increasingly crucial as the demand for deep-sea resources grows. These systems are designed to efficiently transport extracted materials from the ocean floor to the surface, ensuring minimal environmental impact and operational efficiency. The development of specialized transportation equipment is essential for handling the unique challenges posed by the subsea environment, such as high pressure and corrosive conditions. As the industry advances, innovations in transportation technology are expected to enhance the overall efficiency and sustainability of subsea mining operations. This, in turn, will drive further investment and interest in deep-sea resource exploration.

Type Analysis

The subsea crawler market can be segmented by type into hydraulic subsea crawlers and electric subsea crawlers. Hydraulic subsea crawlers are traditionally more popular due to their robustness and ability to operate in challenging environments. These crawlers are known for their high power output and durability, making them ideal for heavy-duty tasks such as underwater construction and oil & gas operations. Their ability to handle substantial loads and perform complex maneuvers under high pressure conditions makes them a preferred choice for many industries.

On the other hand, electric subsea crawlers are gaining traction due to their enhanced precision and operational efficiency. These c

An automatic pipeline based on an algorithm that identifies new resources in publications every month to assist the efficiency of NIF curators. The pipeline is also able to find the last time the resource's webpage was updated and whether the URL is still valid. This can assist the curator in knowing which resources need attention. Additionally, the pipeline identifies publications that reference existing NIF Registry resources as this is also of interest. These mentions are available through the Data Federation version of the NIF Registry, http://neuinfo.org/nif/nifgwt.html?query=nlx_144509 The RDF is based on an algorithm on how related it is to neuroscience. (hits of neuroscience related terms). Each potential resource gets assigned a score (based on how related it is to neuroscience) and the resources are then ranked and a list is generated.

68026 Global import shipment records of Crawler Excavator with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This is a semi-cleaned dataset containing information from job posts related to data science field. The data is scraped from 4 websites and the process is done in December 2023. Langchain framework from OpenAI was used to support the data extraction task. For example, getting the soft skills and tools that the job post's description mention.

Here is the data schema for this data set

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14229286%2Fcd5c6bc8700ad49f34a48b61981625c4%2Fimage%20(2).png?generation=1703998231851462&alt=media" alt="">

31/12/2023: The data set's description is not finished.

The Common Crawl corpus contains petabytes of data collected over 8 years of web crawling. The corpus contains raw web page data, metadata extracts and text extracts. Common Crawl data is stored on Amazon Web Services’ Public Data Sets and on multiple academic cloud platforms across the world.

China Steel: Import: Large Section: Alloy Crawler data was reported at 0.124 Ton th in Mar 2025. This records a decrease from the previous number of 0.583 Ton th for Feb 2025. China Steel: Import: Large Section: Alloy Crawler data is updated monthly, averaging 0.201 Ton th from Jan 2010 (Median) to Mar 2025, with 180 observations. The data reached an all-time high of 3.821 Ton th in Dec 2019 and a record low of 0.000 Ton th in Dec 2016. China Steel: Import: Large Section: Alloy Crawler data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s Metal and Steel Sector – Table CN.WAG: Steel Import: Quantity: Monthly.

Login Pages HTTP Client Hints Dataset

HTTP client hint crawling data of all login pages of the 8M Tranco list websites.

This data set contains the crawled Accept-CH HTTP header values on all Tranco-list-related login pages from August 2022 to December 2023. You can use the data set to reproduce our study results regarding the client hint usage on the Web.

We crawled the data from three different continents (North America: Johnstown, Ohio, USA; Europe: Frankfurt and Biere, Germany; Asia: Singapore) and two different Internet Service Providers (ISP), which were Amazon Web Services (AWS) and Deutsche Telekom (DT).

Overview

You can find the crawling data inside the crawl_data_redacted folder of this repository. It is subdivided into our four different crawling regions, which are also the subfolders:

• eu_otc: Crawling data from Biere, Germany (Europe), using the DT ISP.
• eu_aws: Crawling data from Frankfurt, Germany (Europe), using the AWS ISP.
• ap_aws: Crawling data from Singapore (Asia), using the AWS ISP.
• us_aws: Crawling data from Johnstown, Ohio, USA (North America), using the AWS ISP.

Each folder includes the following files:

• crawl_data_login_urls_only.csv: Contains the responses from all crawled login URLs
• crawl_data_clustered_third_party_urls_only.csv: Contains the responses from requests to third party URLs that were initiated by the login URLs
• crawl_data_trackerlist_urls_only.csv: Contains the responses from requests to third-party URLs that were identified as trackers and initiated by the login URLs.

General

Each data set file contains the following columns:

Data Creation

We used the Tranco List from June 21st, 2022 and visited all 8M hostnames of this list with a crawler bot to identify their login pages. We then crawled the login pages on a monthly basis and recorded the Accept-CH HTTP header sent by each website. For technical reasons, we had crawling gaps of one (October 2022) and two months (October/November 2023). However, the impact should be minimal (see Publication).

Publication

You can find more details on our conducted study in the following journal article:

A Privacy Measure Turned Upside Down? Investigating the Use of HTTP Client Hints on the Web
Stephan Wiefling, Marian Hönscheid, and Luigi Lo Iacono.
19th International Conference on Availability, Reliability and Security (ARES '24), Vienna, Austria

Bibtex

...

Disclaimer: This data is only for academic research and is not intended for commercial or other purposes. If you want to cite this data, please apply to the author for approval first.Through the topic crawler on Weibo, I crawled the topic data of the earthquake with a magnitude of 5.7 in Yibin, China, to visualize the earthquake network public opinion, and further study the dissemination and influencing factors of the earthquake network public opinion. I declare that the data is only for academic research and not for commercial use, thank you for your understanding!

Dataset containing images and ground-truth position of the crawler's cage used in the AEROARMS project experiments.

Europe Anti crawling Techniques accounted for a share of over 30% of the global market size of USD XX million in 2023 and projected to expand at a compound annual growth rate (CAGR) of 4.5% from 2023 to 2030