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Please explore the provided notebook to learn about the dataset:
đź”— IPinfo IP to Country ASN Demo Notebook for Kaggle
Detailed documentation for the IP to Country ASN database can be found on IPinfo's documentation page. Database samples are also available on IPinfo's GitHub repo.
đź”— Documentation: https://ipinfo.io/developers/ip-to-country-asn-database
| Field Name | Example | Description |
|---|---|---|
start_ip | 194.87.139.0 | The starting IP address of an IP address range |
end_ip | 194.87.139.255 | The ending IP address of an IP address range |
country | NL | The ISO 3166 country code of the location |
country_name | Netherlands | The name of the country |
continent | EU | The continent code of the country |
continent_name | Europe | The name of the continent |
asn | AS1239 | The Autonomous System Number |
as_name | Sprint | The name of the AS (Autonomous System) organization |
as_domain | sprint.net | The official domain or website of the AS organization |
The IPinfo IP to Country ASN database is a subset of IPinfo's IP to Geolocation database and the ASN database.
The database provides daily updates, complete IPv4 and IPv6 coverage, and full accuracy, just like its parent databases. The database is crucial for:
Whether you are running a web service or a server connected to the internet, this enterprise-ready database should be part of your tech stack.
In this dataset, we include 3 files:
country_asn.csv → For reverse IP look-ups and running IP-based analyticscountry_asn.mmdb → For IP address information look-upsips.txt → Sample IP addressesUsing the CSV dataset
As the CSV dataset has a relatively small size (~120 MB), any dataframe and database should be adequate. However, we recommend users not use the CSV file for IP address lookups. For everything else, feel free to explore the CSV file format.
Using the MMDB dataset
The MMDB dataset requires a special third-party library called the MMDB reader library. The MMDB reader library enables you to look up IP addresses at the most efficient speed possible. However, as this is a third-party library, you should install it via pip install in your notebook, which requires an internet connection to be enabled in your notebook settings.
Please see our attached demo notebook for usage examples.
IP to Country ASN provides many diverse solutions, so we encourage and share those ideas with the Kaggle community!
The geolocation data is produced by IPinfo's ProbeNet, a globe-spanning probe network infrastructure with 400+ servers. The ASN data is collected from public datasets like WHOIS, Geofeed etc. The ASN data is later parsed and structured to make it more data-friendly.
See the Data Provenance section below to learn more.
Please note that this Kaggle Dataset is not updated daily. We recommend users download our free IP to Country ASN database from IPinfo's website directly for daily updates.
AS Organization - An AS (Autonomous System) organization is an organization that owns a block or range of IP addresses. These IP addresses are sold to them by the Regional Internet Organizations (RIRs). Even though this AS organization may own an IP address, they sometimes do not operate IP addresses directly and may rent them out to other organizations. You can check out our IP to Company data or ASN database to learn more about them.
ASN - ASN or Autonomous System Number is the unique identifying number assigned to an AS organization.
IP to ASN - Get ASN and AS organizat...
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Accurate, daily-updated country-level IP geolocation and IP to Autonomous System (ASN) databases. GeoIP-compatible, open license, free to download and use for any purpose.
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Discover the booming IP address lookup market! Our in-depth analysis reveals a $250M (2025) market projected to reach $800M by 2033, driven by cybersecurity, location-based services, and IoT growth. Explore key players, market trends, and regional insights.
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The IP address lookup market is experiencing robust growth, driven by increasing demand for geolocation services, cybersecurity solutions, and fraud prevention measures across various industries. The market's expansion is fueled by the proliferation of internet-connected devices, the rise of big data analytics, and the growing need for accurate user identification and location tracking. While cloud-based solutions dominate due to scalability and cost-effectiveness, on-premises deployments remain significant for organizations with stringent data security requirements. Large enterprises are major consumers, leveraging IP address lookups for targeted advertising, network security, and compliance purposes. SMEs, however, are increasingly adopting these solutions to improve customer experience and optimize online operations. The market is geographically diverse, with North America and Europe currently leading, but Asia-Pacific is projected to witness significant growth in the coming years due to rapid digitalization and expanding internet penetration. Competition is intense, with a mix of established players and emerging startups offering a range of services, from basic IP geolocation to advanced data intelligence and fraud detection tools. Factors hindering market growth include data privacy concerns, increasing regulatory scrutiny, and the potential for inaccurate or outdated IP data. The forecast period (2025-2033) anticipates continued market expansion, with a projected Compound Annual Growth Rate (CAGR) driving substantial revenue increases. This growth will be fueled by technological advancements in IP geolocation accuracy, integration with other analytical tools, and the emergence of innovative applications within industries like e-commerce, fintech, and advertising. While challenges related to data privacy and accuracy persist, ongoing innovation and industry consolidation are poised to mitigate these risks and drive wider adoption. The market segmentation will likely remain stable, with the continued dominance of cloud-based solutions and strong demand from both large enterprises and SMEs. Regional variations will persist, reflecting differing levels of digital infrastructure and regulatory frameworks across the globe. However, emerging economies in Asia-Pacific are likely to significantly increase their market share throughout the forecast period.
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Accurate, daily-updated country-level IP geolocation database. GeoIP-compatible, open license, free to download and use for any purpose.
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Geo Open is an IP address geolocation per country in MMDB format. The database can be used as a replacement for software using the MMDB format. Information about MMDB format: https://maxmind.github.io/MaxMind-DB/ Open source server using Geo Open: https://github.com/adulau/mmdb-server Open source library to read MMDB file: https://github.com/maxmind/MaxMind-DB-Reader-python Historical dataset: https://cra.circl.lu/opendata/geo-open/ The database is automatically generated from public BGP AS announces matching the country code. The precision is at country level.
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The IP address lookup market is experiencing robust growth, driven by the increasing reliance on location-based services, cybersecurity advancements, and the expanding digital footprint across various industries. The market, currently valued at approximately $250 million in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the rising demand for precise geolocation data for targeted advertising, fraud prevention, and personalized user experiences is a major catalyst. Secondly, the heightened concern regarding data privacy and security necessitates advanced IP address lookup solutions, leading to increased adoption among businesses of all sizes. Finally, the proliferation of IoT devices and the expanding use of cloud-based services further amplify the need for efficient and accurate IP address lookups. The market is segmented by application (SMEs and large enterprises) and by type (cloud-based and on-premises solutions), with cloud-based solutions dominating due to their scalability, cost-effectiveness, and ease of implementation. The competitive landscape features a mix of established players and emerging vendors, each offering diverse solutions to meet varying market demands. While some companies focus on comprehensive databases offering granular location details, others concentrate on providing APIs for seamless integration into existing systems. Regional growth varies, with North America and Europe currently holding a significant market share. However, rapidly developing economies in Asia-Pacific are expected to exhibit accelerated growth in the coming years, driven by increasing internet penetration and digital transformation initiatives. Restraints on market growth include concerns about data accuracy, potential privacy violations, and the emergence of new technologies that may offer alternative approaches to geolocation. Despite these challenges, the overall outlook for the IP address lookup market remains positive, with strong growth anticipated throughout the forecast period.
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TwitterWith Versium REACH's IP to Domain you unlock the ability to de-anonymize your database of IP addresses. Receive firmographic data for an IP address that includes up to 3 likely businesses, including key attributes such as domain, company size, location, and many other valuable firmographic insights.
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This database provides a solution to determine the country of origin for any IP address in a few simple steps. First, retrieve the IP address from the networking protocol or server-side variable of the Web server. Next, translate the IP address to an IP number in decimal format to speed up the database query. Lastly, reverse lookup the IP number from the IP2Location™ database to pinpoint the exact geographical location.
It is free for personal or commercial use with attribution required by mentioning the use of this data as follows,
This site or product includes IP2Location LITE data available from <a href="https://lite.ip2location.com">https://lite.ip2location.com</a>.
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TwitterThis IP2Location IP Geolocation LITE database in BIN format provides a solution to determine the country of origin for any IP address for IPv4.
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TwitterThe US Consumer IP Address file contains information on the location and observation dates of IP addresses tied to individuals in the Consumer Database. It is updated monthly from a database containing billions of IP<>email linkages.
We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used.
Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.
BIGDBM Privacy Policy: https://bigdbm.com/privacy.html
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Full whois database lists different subscription packages about databases. But there is no price listing, so you will have to directly contact us. It lists full whois databse with Active domains whois databse, IP whois databases and ASN whois database.
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The IP address lookup market is experiencing robust growth, driven by the increasing reliance on online services and the expanding digital footprint across various sectors. The market's size in 2025 is estimated at $1.5 billion, projecting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors: the proliferation of connected devices (IoT), the heightened demand for precise geolocation data for cybersecurity and fraud prevention, and the escalating need for personalized online experiences. Furthermore, the growing adoption of cloud-based solutions simplifies deployment and reduces costs, bolstering market growth. The market is segmented by application (SMEs and large enterprises) and type (cloud-based and on-premises). Cloud-based solutions currently dominate due to their scalability and cost-effectiveness, although on-premises deployments remain significant for organizations with stringent data security requirements. Large enterprises currently represent a larger share of the market due to their greater need for comprehensive IP address lookup solutions, but the SME segment is predicted to show faster growth due to increasing digital adoption. Geographic distribution showcases strong growth across North America and Europe, driven by mature digital infrastructures and high adoption rates. However, emerging markets in Asia-Pacific and the Middle East & Africa are anticipated to demonstrate significant growth potential in the coming years due to increasing internet penetration and digital transformation initiatives. Market restraints include concerns surrounding data privacy and regulations like GDPR, which necessitate robust compliance measures. Competition among numerous players, including MaxMind, IP2Location, and IPinfo, is intense, requiring continuous innovation and value-added service offerings to maintain a competitive edge. Despite these challenges, the long-term outlook for the IP address lookup market remains positive, with consistent growth projected throughout the forecast period driven by continuous technological advancements and increasing demand for location-based services. The rise of AI and machine learning will further enhance the accuracy and efficiency of IP address lookup technologies, shaping future market trends.
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The global commercial patent database market is experiencing robust growth, driven by the increasing need for intellectual property (IP) management and competitive intelligence among businesses. The market's expansion is fueled by several key factors, including rising R&D investments across various industries (pharmaceuticals, technology, etc.), a surge in patent filings worldwide, and the growing adoption of sophisticated analytical tools for patent data mining. This necessitates comprehensive and user-friendly databases that offer advanced search functionalities, allowing businesses to identify opportunities, track competitors, and protect their own innovations effectively. The market's segmentation reflects the diverse needs of users, encompassing solutions tailored to specific industries and IP management tasks. Leading players are continuously innovating, integrating AI and machine learning capabilities to enhance search precision and data analysis, creating more efficient and insightful platforms. The competitive landscape is characterized by a mix of established players and emerging technology companies, each striving for differentiation through superior user experience, data quality, and analytical features. We estimate the market size to be approximately $2.5 billion in 2025, growing at a compound annual growth rate (CAGR) of 12% between 2025 and 2033. This strong growth is projected to continue throughout the forecast period, primarily due to the ongoing digital transformation across sectors and the increasing reliance on data-driven decision-making. However, challenges remain, including the high cost of access to premium database features and the complex nature of patent data, requiring specialized expertise to interpret effectively. The market will see continued consolidation, with larger players acquiring smaller companies to expand their market reach and product offerings. Furthermore, the focus on user experience and the development of more intuitive interfaces will be critical to broaden the appeal of these databases to a wider range of users, from IP professionals to business strategists. Geographic expansion, particularly in emerging economies with growing R&D activities, will also be a key driver of market growth in the coming years.
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Accurate, daily-updated IP to Autonomous System (ASN) database.
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Dataset of IP ranges in csv format with Country, ASN, City, Country Code. IP range in ipv4 format.
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The IP Address Lookup market is booming, projected to reach $610 million by 2033 with a 15% CAGR. Driven by cybersecurity, IoT, and location-based services, this in-depth analysis explores market trends, key players (MaxMind, IP2Location), and regional growth. Discover the future of IP geolocation data.
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TwitterAlesco’s aggregated consumer email database consists of over 2.3 billion U.S. records with name, address and email. The database is fully CAN-SPAM and privacy compliant, and records include referring URL, IP address and date stamp. Postal addresses are address standardized and processed through NCOA. Available for licensing!
File size: 2.3 Billion IP Address: 1.9 Billion eAppend data: 1.8 Billion (full name/postal) Acquisition: 269 Million (full demo’s)
Fields Included: Name Address Email Phone IP Address
Consumer Behavior Data Consumer Demographic Data Identity Data Audience Data
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TwitterOur mission with this project is to provide an always up-to-date and freely accessible map of the cloud landscape for every major cloud service provider.
We've decided to kick things off with collecting SSL certificate data of AWS EC2 machines, considering the value of this data to security researchers. However, we plan to expand the project to include more data and providers in the near future. Your input and suggestions are incredibly valuable to us, so please don't hesitate to reach out on Twitter or Discord and let us know what areas you think we should prioritize next!
You can find origin IP for an example: instacart.com, Just search there instacart.com
You can use command as well if you are using linux. Open the dataset using curl or wget and then **cd ** folder now run command: find . -type f -iname "*.csv" -print0 | xargs -0 grep "word"
Like: find . -type f -iname "*.csv" -print0 | xargs -0 grep "instacart.com"
Done, You will see output.
How can SSL certificate data benefit you? The SSL data is organized into CSV files, with the following properties collected for every found certificate:
IP Address Common Name Organization Country Locality Province Subject Alternative DNS Name Subject Alternative IP address Self-signed (boolean)
IP Address Common Name Organization Country Locality Province Subject Alternative DNS Name Subject Alternative IP address Self-signed 1.2.3.4 example.com Example, Inc. US San Francisco California example.com 1.2.3.4 false 5.6.7.8 acme.net Acme, Inc. US Seattle Washington *.acme.net 5.6.7.8 false So what can you do with this data?
Enumerate subdomains of your target domains Search for your target's domain names (e.g. example.com) and find hits in the Common Name and Subject Alternative Name fields of the collected certificates. All IP ranges are scanned daily and the dataset gets updated accordingly so you are very likley to find ephemeral hosts before they are taken down.
Enumerate domains of your target companies Search for your target's company name (e.g. Example, Inc.), find hits in the Organization field, and explore the associated Common Name and Subject Alternative Name fields. The results will probably include subdomains of the domains you're familiar with and if you're in luck you might find new root domains expanding the scope.
Enumerate possible sub-subdomain enumeration target If the certificate is issued for a wildcard (e.g. *.foo.example.com), chances are there are other subdomains you can find by brute-forcing there. And you know how effective of this technique can be. Here are some wordlists to help you with that!
đź’ˇ Note: Remeber to monitor the dataset for daily updates to get notified whenever a new asset comes up!
Perform IP lookups Search for an IP address (e.g. 3.122.37.147) to find host names associated with it, and explore the Common Name, Subject Alternative Name, and Organization fields to gain find more information about that address.
Discover origin IP addresses to bypass proxy services When a website is hidden behind security proxy services like Cloudflare, Akamai, Incapsula, and others, it is possible to search for the host name (e.g., example.com) in the dataset. This search may uncover the origin IP address, allowing you to bypass the proxy. We've discussed a similar technique on our blog which you can find here!
Get a fresh dataset of live web servers Each IP address in the dataset corresponds to an HTTPS server running on port 443. You can use this data for large-scale research without needing to spend time collecting it yourself.
Whatever else you can think of If you use this data for a cool project or research, we would love to hear about it!
Additionally, below you will find a detailed explanation of our data collection process and how you can implement the same technique to gather information from your own IP ranges.
TB; DZ (Too big; didn't zoom):
We kick off the workflow with a simple bash script that retrieves AWS's IP ranges. Using a JQ query, we extract the IP ranges of EC2 machines by filtering for .prefixes[] | select(.service=="EC2") | .ip_prefix. Other services are excluded from this workflow since they don't support custom SSL certificates, making their data irrelevant for our dataset.
Then, we use mapcidr to divide the IP ranges obtained in step 1 into smaller ranges, each containing up to 100k hosts (Thanks, ProjectDiscovery team!). This step will be handy in the next step when we run the parallel scanning process.
At the time of writing, the EC2 IP ranges include over 57 million IP addresses, so scanning them all on a single machine would be impractical, which is where our file-splitter node comes into play.
This node iterates through the input from mapcidr and triggers individual jobs for each range. When executing this w...
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Country-Specific Domains Whois Database presents an extensive pricing list for purchasing country-specific whois database files. These databases are categorized by country and include whois information for domain names registered within each country. The pricing packages are customized for each country's database, providing a range of choices for buyers.
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Please explore the provided notebook to learn about the dataset:
đź”— IPinfo IP to Country ASN Demo Notebook for Kaggle
Detailed documentation for the IP to Country ASN database can be found on IPinfo's documentation page. Database samples are also available on IPinfo's GitHub repo.
đź”— Documentation: https://ipinfo.io/developers/ip-to-country-asn-database
| Field Name | Example | Description |
|---|---|---|
start_ip | 194.87.139.0 | The starting IP address of an IP address range |
end_ip | 194.87.139.255 | The ending IP address of an IP address range |
country | NL | The ISO 3166 country code of the location |
country_name | Netherlands | The name of the country |
continent | EU | The continent code of the country |
continent_name | Europe | The name of the continent |
asn | AS1239 | The Autonomous System Number |
as_name | Sprint | The name of the AS (Autonomous System) organization |
as_domain | sprint.net | The official domain or website of the AS organization |
The IPinfo IP to Country ASN database is a subset of IPinfo's IP to Geolocation database and the ASN database.
The database provides daily updates, complete IPv4 and IPv6 coverage, and full accuracy, just like its parent databases. The database is crucial for:
Whether you are running a web service or a server connected to the internet, this enterprise-ready database should be part of your tech stack.
In this dataset, we include 3 files:
country_asn.csv → For reverse IP look-ups and running IP-based analyticscountry_asn.mmdb → For IP address information look-upsips.txt → Sample IP addressesUsing the CSV dataset
As the CSV dataset has a relatively small size (~120 MB), any dataframe and database should be adequate. However, we recommend users not use the CSV file for IP address lookups. For everything else, feel free to explore the CSV file format.
Using the MMDB dataset
The MMDB dataset requires a special third-party library called the MMDB reader library. The MMDB reader library enables you to look up IP addresses at the most efficient speed possible. However, as this is a third-party library, you should install it via pip install in your notebook, which requires an internet connection to be enabled in your notebook settings.
Please see our attached demo notebook for usage examples.
IP to Country ASN provides many diverse solutions, so we encourage and share those ideas with the Kaggle community!
The geolocation data is produced by IPinfo's ProbeNet, a globe-spanning probe network infrastructure with 400+ servers. The ASN data is collected from public datasets like WHOIS, Geofeed etc. The ASN data is later parsed and structured to make it more data-friendly.
See the Data Provenance section below to learn more.
Please note that this Kaggle Dataset is not updated daily. We recommend users download our free IP to Country ASN database from IPinfo's website directly for daily updates.
AS Organization - An AS (Autonomous System) organization is an organization that owns a block or range of IP addresses. These IP addresses are sold to them by the Regional Internet Organizations (RIRs). Even though this AS organization may own an IP address, they sometimes do not operate IP addresses directly and may rent them out to other organizations. You can check out our IP to Company data or ASN database to learn more about them.
ASN - ASN or Autonomous System Number is the unique identifying number assigned to an AS organization.
IP to ASN - Get ASN and AS organizat...