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There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be just an IP address with no domain, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

 

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link: http://s3.amazonaws.com/alexa-static/top-1m.csv.zip


Or, like my comment, loop over IPv4 addresses... and record if each IP is a valid http/https server.

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be just an IP address with no domain, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

 

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link: http://s3.amazonaws.com/alexa-static/top-1m.csv.zip


Or, like my comment, loop over IPv4 addresses... and record if each IP is a valid http/https server.

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be just an IP address with no domain, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link: http://s3.amazonaws.com/alexa-static/top-1m.csv.zip


Or, like my comment, loop over IPv4 addresses... and record if each IP is a valid http/https server.

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

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philshem
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There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be just an IP address with no domain, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

I think this is what you are looking for. It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link: http://s3.amazonaws.com/alexa-static/top-1m.csv.zip


Or, like my comment, loop over IPv4 addresses... and record if each IP is a valid http/https server.

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be just an IP address with no domain, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

I think this is what you are looking for. It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link: http://s3.amazonaws.com/alexa-static/top-1m.csv.zip


Or, like my comment, loop over IPv4 addresses... and record if each IP is a valid http/https server.

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be just an IP address with no domain, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link: http://s3.amazonaws.com/alexa-static/top-1m.csv.zip


Or, like my comment, loop over IPv4 addresses... and record if each IP is a valid http/https server.

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

deleted 7 characters in body
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philshem
  • 17.7k
  • 7
  • 69
  • 171

There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be just an IP address with no domain, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

I think this is what you are looking for. It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link: http://s3.amazonaws.com/alexa-static/top-1m.csv.zip

http://s3.amazonaws.com/alexa-static/top-1m.csv.zip

Or, like my commentmy comment, loop over IPv4 addressesloop over IPv4 addresses... and record if each IP is a valid http/https server - (more details).

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be an IP address, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

I think this is what you are looking for. It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link:

http://s3.amazonaws.com/alexa-static/top-1m.csv.zip

Or, like my comment, loop over IPv4 addresses... and record if each IP is a valid http/https server - (more details)

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

There are an estimated 1.6 billion public websites in the world, with 200 million being active. But no one really knows, because a website can be just an IP address with no domain, or an .onion link, or temporary or short-lived, or weather-dependent, ...


One way would be to use known DNS records (domain names) from the 2013 DNS Census.

I think this is what you are looking for. It is a DNS registration dataset snapshot taken in 2013. Compressed - it is ~15GB and uncompressed 157GB.

They claim it contains: Dataset containing 2,676,380,336 DNS records and 106,928,034 domains


A more modest list would be, for example, the Alexa 1 million list:

Scripts for scanning the Alexa top 1 million sites and providing generic statistics about them.

Direct link: http://s3.amazonaws.com/alexa-static/top-1m.csv.zip


Or, like my comment, loop over IPv4 addresses... and record if each IP is a valid http/https server.

Here's an estimate about how big your for loop will get:

According to Reserved IP addresses there are 588,514,304 reserved addresses and since there are 4,294,967,296 (2^32) IPv4 addressess in total, there are 3,706,452,992 public addresses.

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philshem
  • 17.7k
  • 7
  • 69
  • 171
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