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OPEN WEB
Infuse applications with news data
Cover the entire blogosphere
Follow conversations around the web
Access structured customer feedback
Train machines with historical data
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Uncover threats across the dark web
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TECHNOLOGIES
Go from raw data to pure power
Follow trends across millions of media sources
Constantly track suspicious web activity
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risks
Sharpen predictions with historical datasets
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Stop cyber criminals with covert activity tracking

Archived Web DataLet your Machine
Make History

Tap into over 50TB of historical data from news, blogs, online forums
and reviews from across the web, ready for machines.

Archived Web DataLet your Machine
Make History

Tap into over 50TB of historical data from news, blogs, online forums and reviews from across the web, ready for machines.

Trusted By

Archived DataHistory for
Machines

Webz.io lets your machine find news, blog posts, discussion threads and reviews, dating back to 2008. Like the web, it is constantly expanding, consuming millions of articles, posts and threads in multiple languages from all over the globe. Now your machines can make a splash with a powerful feed, ready for machines.

Crawls historical data from news, blogs, online forums and reviews, dating back to 2008.
Extracts data from around the world, in multiple languages.
Feeds your machines with rich historical data, instantly accessible through our robust API.
Crawls historical data from news, blogs, online forums and reviews, dating back to 2008.
Extracts data from around the world, in multiple languages.
Feeds your machines with rich historical data, instantly accessible through our robust API.

Go Back in History

10M
Posts Indexed
Daily
1M
Websites
76
Languages
230
Countries
50TB
Historical Data
10M
Posts Indexed
Daily
1M
Websites
76
Languages
230
Countries
50TB
Historical Data

Keep your MachinesOn Time

Advanced Filters
Easily sort historical data by topics, organizations, time frames and more.
Easy Integration
Instantly access the biggest repository of historical data feeds via API or by running a query yourself.
Pay Per Use
Only pay for the posts you get.
Advanced Filters
Easily sort historical data by topics, organizations, time frames and more.
Easy Integration
Instantly access the biggest repository of historical data feeds via API or by running a query yourself.
Pay Per Use
Only pay for the posts you get.

built for your machines.Made for What You Do.

AI & Machine Learning
Media Monitoring
Financial Analysis
AI & Machine Learning
AI & Machine Learning
Leverage Webz.io’s structured historical datasets to create smarter and powerful automated models.
AI & Machine Learning
AI & Machine Learning
AI & Machine Learning
Leverage Webz.io’s structured historical datasets to create smarter and powerful automated models.
Media Monitoring
Financial Analysis

SEEWhat Machines See

Explore the perfectly structured JSON format from the following query

See below filtered results in JSON format from the following query:
Query:

{

entities: {

persons: [

{

name: "squid" ,

sentiment: "positive"

{

name: "kevin smith" ,

sentiment: "none"

] ,

locations: [ ] ,

organizations: [

{

name: "netflix" ,

sentiment: "positive"

{

name: "bridgerton" ,

sentiment: "none"

]

} ,

updated: "2021-10-13T03:59:54.001+03:00" ,

highlightThreadTitle: "" ,

uuid: "6477567a8b4cfe9c07819ae7999d35a8e7dbc305" ,

thread: {

social: {

gplus: {

shares: 0

} ,

pinterest: {

shares: 0

} ,

vk: {

shares: 0

} ,

linkedin: {

shares: 0

} ,

facebook: {

likes: 611 ,

comments: 101 ,

shares: 26

} ,

stumbledupon: {

shares: 0

}

} ,

reach: {

updated: "2020-10-15T14:25:00.000+03:00" ,

page_views: {

per_user: 2.1 ,

per_million: 5.36

} ,

per_million: 100

} ,

site_full: "www.avclub.com" ,

main_image: "https://i.kinja-img.com/gawker-media/image/upload/c_fill,f_auto,fl_progressive,g_center,h_675,pg_1,q_80,w_1200/672fd005a26c07042bb181e356221437.png" ,

site_section: "http://www.avclub.com/feed/rss/?tags=books" ,

section_title: "The A.V. Club" ,

url: "https://www.avclub.com/surprise-netflix-says-squid-game-is-their-most-success-1847851614" ,

country: "US" ,

domain_rank: 7064 ,

title: "Surprise! Netflix says Squid Game is their most successful series launch to date" ,

performance_score: 0 ,

site: "avclub.com" ,

site_categories: [

"television" ,

"entertainment"

] ,

participants_count: 1 ,

title_full: "Surprise! Netflix says Squid Game is their most successful series launch to date" ,

spam_score: 0 ,

site_type: "blogs" ,

published: "2021-10-13T03:56:00.000+03:00" ,

replies_count: 0 ,

uuid: "6477567a8b4cfe9c07819ae7999d35a8e7dbc305"

} ,

author: "Matt Schimkowitz" ,

url: "https://www.avclub.com/surprise-netflix-says-squid-game-is-their-most-success-1847851614" ,

ord_in_thread: 0 ,

title: "Surprise! Netflix says Squid Game is their most successful series launch to date" ,

external_images: [ ] ,

highlightText: "" ,

language: "english" ,

text: "Netflix loves to call their latest, buzziest show their most successful show of all time . And Squid Game is no different . Earlier today, the company tweeted that 111 million people watched the first season of the hit Korean thriller in its first 28 days of release, crushing the company’s previous record-holder Bridgerton , which pulled in a paltry 82 million viewers. To thank fans, that big, creepy doll from Squid Game announced in a video that all 111 million VIPs made the show number one around the world. And according to Netflix, that’s what happened. By their metrics, Squid Game reached the top of their charts in 90 countries since debuting in September. Of course, it’s worth noting that what Netflix counts as a view is a little askew—to steal a phrase from Kevin Smith. The company’s official “view” means a user watched at least two minutes of any episode. This means that if someone sat around long enough for a video to auto-play on the platform and then let it roll until it reached “Netflix presents,” they more or less counted in the company’s 111 million. It’s also, you know, sketchy to just accept the view counts from Netflix about Netflix without corroboration. So please, take these numbers with a grain of salt. Squid Game would join the ranks of Money Heist , Dark, and Lupin in terms of wildly successful and buzzy non-English language dramas. According to Deadline , the company goes further than its competitors in terms of subtitling and dubbing. In particular, Squid Game is available in more than 30 languages. Nevertheless, the numbers indicate Netflix’s further “internationalization”—not our term—of its offerings. They even earned nods from the company’s former competitor and weirdo billionaire Jeff Bezos, who, as far as we can tell, coined the term “internationalization.” “Reed Hastings and Ted Sarandos and the team at Netflix get it right so often,” Bezos tweeted earlier this month. “Their internationalization strategy isn’t easy, and they’re making it work. Impressive and inspiring. (And I can’t wait to watch the show).” Now we’re left to wonder whether or not Bezos is one of the 111 million VIPs that watched at least two minutes of Squid Game." ,

external_links: [

"https://deadline.com/2021/10/squid-game-111-million-views-in-first-month-cruising-past-bridgerton-top-all-time-netflix-original-1234854955/" ,

"https://twitter.com/JeffBezos/status/1444431829214248960" ,

"https://www.deadline.com/2021/10/squid-game-111-million-views-in-first-month-cruising-past-bridgerton-top-all-time-netflix-original-1234854955/" ,

"https://twitter.com/JeffBezos/status/1444431829214248960?ref_src=twsrc%5Etfw" ,

"https://deadline.com/2021/10/squid-game-111-million-views-in-first-month-cruising-past-bridgerton-top-all-time-netflix-original-1234854955" ,

"https://www.twitter.com/JeffBezos/status/1444431829214248960?ref_src=twsrc%5Etfw"

] ,

published: "2021-10-13T03:56:00.000+03:00" ,

parent_url: NULL ,

crawled: "2021-10-13T03:59:54.001+03:00" ,

highlightTitle: "" ,

rating: NULL

For more information, check out our Developer Hub which contains helpful
Documentation, Video Tutorials, Use Cases and more
See below filtered results in JSON format from the following query:
Query:

{

entities: {

persons: [

{

name: "squid" ,

sentiment: "positive"

{

name: "kevin smith" ,

sentiment: "none"

] ,

locations: [ ] ,

organizations: [

{

name: "netflix" ,

sentiment: "positive"

{

name: "bridgerton" ,

sentiment: "none"

]

} ,

updated: "2021-10-13T03:59:54.001+03:00" ,

highlightThreadTitle: "" ,

uuid: "6477567a8b4cfe9c07819ae7999d35a8e7dbc305" ,

thread: {

social: {

gplus: {

shares: 0

} ,

pinterest: {

shares: 0

} ,

vk: {

shares: 0

} ,

linkedin: {

shares: 0

} ,

facebook: {

likes: 611 ,

comments: 101 ,

shares: 26

} ,

stumbledupon: {

shares: 0

}

} ,

reach: {

updated: "2020-10-15T14:25:00.000+03:00" ,

page_views: {

per_user: 2.1 ,

per_million: 5.36

} ,

per_million: 100

} ,

site_full: "www.avclub.com" ,

main_image: "https://i.kinja-img.com/gawker-media/image/upload/c_fill,f_auto,fl_progressive,g_center,h_675,pg_1,q_80,w_1200/672fd005a26c07042bb181e356221437.png" ,

site_section: "http://www.avclub.com/feed/rss/?tags=books" ,

section_title: "The A.V. Club" ,

url: "https://www.avclub.com/surprise-netflix-says-squid-game-is-their-most-success-1847851614" ,

country: "US" ,

domain_rank: 7064 ,

title: "Surprise! Netflix says Squid Game is their most successful series launch to date" ,

performance_score: 0 ,

site: "avclub.com" ,

site_categories: [

"television" ,

"entertainment"

] ,

participants_count: 1 ,

title_full: "Surprise! Netflix says Squid Game is their most successful series launch to date" ,

spam_score: 0 ,

site_type: "blogs" ,

published: "2021-10-13T03:56:00.000+03:00" ,

replies_count: 0 ,

uuid: "6477567a8b4cfe9c07819ae7999d35a8e7dbc305"

} ,

author: "Matt Schimkowitz" ,

url: "https://www.avclub.com/surprise-netflix-says-squid-game-is-their-most-success-1847851614" ,

ord_in_thread: 0 ,

title: "Surprise! Netflix says Squid Game is their most successful series launch to date" ,

external_images: [ ] ,

highlightText: "" ,

language: "english" ,

text: "Netflix loves to call their latest, buzziest show their most successful show of all time . And Squid Game is no different . Earlier today, the company tweeted that 111 million people watched the first season of the hit Korean thriller in its first 28 days of release, crushing the company’s previous record-holder Bridgerton , which pulled in a paltry 82 million viewers. To thank fans, that big, creepy doll from Squid Game announced in a video that all 111 million VIPs made the show number one around the world. And according to Netflix, that’s what happened. By their metrics, Squid Game reached the top of their charts in 90 countries since debuting in September. Of course, it’s worth noting that what Netflix counts as a view is a little askew—to steal a phrase from Kevin Smith. The company’s official “view” means a user watched at least two minutes of any episode. This means that if someone sat around long enough for a video to auto-play on the platform and then let it roll until it reached “Netflix presents,” they more or less counted in the company’s 111 million. It’s also, you know, sketchy to just accept the view counts from Netflix about Netflix without corroboration. So please, take these numbers with a grain of salt. Squid Game would join the ranks of Money Heist , Dark, and Lupin in terms of wildly successful and buzzy non-English language dramas. According to Deadline , the company goes further than its competitors in terms of subtitling and dubbing. In particular, Squid Game is available in more than 30 languages. Nevertheless, the numbers indicate Netflix’s further “internationalization”—not our term—of its offerings. They even earned nods from the company’s former competitor and weirdo billionaire Jeff Bezos, who, as far as we can tell, coined the term “internationalization.” “Reed Hastings and Ted Sarandos and the team at Netflix get it right so often,” Bezos tweeted earlier this month. “Their internationalization strategy isn’t easy, and they’re making it work. Impressive and inspiring. (And I can’t wait to watch the show).” Now we’re left to wonder whether or not Bezos is one of the 111 million VIPs that watched at least two minutes of Squid Game." ,

external_links: [

"https://deadline.com/2021/10/squid-game-111-million-views-in-first-month-cruising-past-bridgerton-top-all-time-netflix-original-1234854955/" ,

"https://twitter.com/JeffBezos/status/1444431829214248960" ,

"https://www.deadline.com/2021/10/squid-game-111-million-views-in-first-month-cruising-past-bridgerton-top-all-time-netflix-original-1234854955/" ,

"https://twitter.com/JeffBezos/status/1444431829214248960?ref_src=twsrc%5Etfw" ,

"https://deadline.com/2021/10/squid-game-111-million-views-in-first-month-cruising-past-bridgerton-top-all-time-netflix-original-1234854955" ,

"https://www.twitter.com/JeffBezos/status/1444431829214248960?ref_src=twsrc%5Etfw"

] ,

published: "2021-10-13T03:56:00.000+03:00" ,

parent_url: NULL ,

crawled: "2021-10-13T03:59:54.001+03:00" ,

highlightTitle: "" ,

rating: NULL

For more information, check out our Developer Hub which contains helpful Documentation, Video Tutorials, Use Cases and more

Make Your MachinesTimeless

With Webz.io’s Vast Historical Data

Entities
Run queries based on people, locations, organizations and topics.
Sentiment
Understand the sentiment of an article with machine learning.
Social Signals
Rank query results by social reach, broken down by engagement and platform.
Categories
Group similar articles easily, with auto-generated categories.
Full Text
Get the whole text of every article, post, thread or review included in your results.

{

name: "Amazon Prime Video" ,

polarity: "strong positive" ,

frequency: 1 ,

relevance: 12 ,

type: "Organization>ConsumerServicesCompany>MediaCompany" ,

fiction: false ,

geographics: [

{

continent: "America" ,

country: "United States" ,

city: NULL ,

district: NULL

]

Entities
Run queries based on people, locations, organizations and topics.

{

name: "Amazon Prime Video" ,

polarity: "strong positive" ,

frequency: 1 ,

relevance: 12 ,

type: "Organization>ConsumerServicesCompany>MediaCompany" ,

fiction: false ,

geographics: [

{

continent: "America" ,

country: "United States" ,

city: NULL ,

district: NULL

]

Sentiment
Understand the sentiment of an article with machine learning.
Social Signals
Rank query results by social reach, broken down by engagement and platform.
Categories
Group similar articles easily, with auto-generated categories.
Full Text
Get the whole text of every article, post, thread or review included in your results.

See Webz.ioIn Action

Experience the True Power of
Machine-Defined Data

web data

HAVE AQuestion?

GET MORE HELP

Our historical data includes everything older than 30 days from News, Blogs, Forums and Reviews, going back to January 2008. The data is crawled from a range of different sources, languages and categories; ready-made for predictive analysis, risk modeling, NLP, machine learning and deep sentiment analysis.

It’s simple. First you put in your query, you can also use an old query you ran before. Then you select the time frame and then you let it run. Next, you can get the entire dataset for the time frame you selected.

Yes, you can get the full text of every page going back to 2008.

The price depends on consumption. You only pay for the results you get and not per query. To find out more, set up a call with our data consultant today (add link).
Feed Your Machines
The Data They Need
Feed Your Machines The Data They Need