Financial Data API | 3.5M+ daily news articles
# | uuid |
url |
ord_in_thread |
parent_url |
author |
published |
title |
text |
highlightText |
highlightTitle |
highlightThreadTitle |
language |
sentiment |
categories |
ai_allow |
webz_reporter |
external_links |
external_images |
rating |
crawled |
updated |
thread.uuid |
thread.url |
thread.site_full |
thread.site |
thread.site_section |
thread.site_categories |
thread.section_title |
thread.title |
thread.title_full |
thread.published |
thread.replies_count |
thread.participants_count |
thread.site_type |
thread.country |
thread.main_image |
thread.performance_score |
thread.domain_rank |
thread.domain_rank_updated |
thread.reach |
thread.social.facebook.likes |
thread.social.facebook.comments |
thread.social.facebook.shares |
thread.social.vk.shares |
entities.persons |
entities.organizations |
entities.locations |
syndication.syndicated |
syndication.syndicate_id |
syndication.first_syndicated |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
2 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
3 | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
4 | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx |
5 | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx |
6 | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx |
7 | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx |
8 | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx |
9 | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx |
10 | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx |
... | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
uuid
|
String | 960914b006c213a49896ddced698988447b22606 | |
url
|
String | https://markets.businessinsider.com/news/stocks/warning-s... | |
ord_in_thread
|
Integer | 0 | |
parent_url
|
|||
author
|
String | Matthew Fox | |
published
|
DateTime | 2024-09-27T03:00:00+03:00 | |
title
|
String | Watch Warning Signs for Peak in Stock Market's Long-Term ... | |
text
|
String | With the S&P 500 in its 15th year of a secular bull marke... | |
highlightText
|
|||
highlightTitle
|
|||
highlightThreadTitle
|
|||
language
|
String | english | |
sentiment
|
String | neutral | |
categories
|
String | ['Economy, Business and Finance', 'Financial and Economic... | |
ai_allow
|
Boolean | t | |
webz_reporter
|
Boolean | f | |
external_links
|
String | [] | |
external_images
|
String | [] | |
rating
|
|||
crawled
|
DateTime | 2024-09-28T01:34:12+03:00 | |
updated
|
DateTime | 2024-09-28T01:34:12+03:00 | |
thread.uuid
|
String | 960914b006c213a49896ddced698988447b22606 | |
thread.url
|
String | https://markets.businessinsider.com/news/stocks/warning-s... | |
thread.site_full
|
String | markets.businessinsider.com | |
thread.site
|
String | businessinsider.com | |
thread.site_section
|
String | https://www.golf.einnews.com/live_feed | |
thread.site_categories
|
String | ['investing', 'financial_news', 'finance', 'top_news_id',... | |
thread.section_title
|
String | Live Feed Wire - Golf News Today - EIN Presswire | |
thread.title
|
String | Watch Warning Signs for Peak in Stock Market's Long-Term ... | |
thread.title_full
|
String | Watch Warning Signs for Peak in Stock Market's Long-Term ... | |
thread.published
|
DateTime | 2024-09-27T03:00:00+03:00 | |
thread.replies_count
|
Integer | 0 | |
thread.participants_count
|
Integer | 1 | |
thread.site_type
|
String | news | |
thread.country
|
String | US | |
thread.main_image
|
String | https://i.insider.com/66d2065643b5e59d16b727c4?width=1200... | |
thread.performance_score
|
Integer | 0 | |
thread.domain_rank
|
Integer | 121 | |
thread.domain_rank_updated
|
DateTime | 2024-09-24T00:00:00+03:00 | |
thread.reach
|
|||
thread.social.facebook.likes
|
Integer | 6 | |
thread.social.facebook.comments
|
Integer | 7 | |
thread.social.facebook.shares
|
Integer | 8 | |
thread.social.vk.shares
|
Integer | 0 | |
entities.persons
|
String | [{'name': 'Ned Davis Research', 'sentiment': 'negative'},... | |
entities.organizations
|
String | [{'name': 'S&P', 'sentiment': 'negative'}, {'name': 'NDR'... | |
entities.locations
|
String | [] | |
syndication.syndicated
|
Boolean | f | |
syndication.syndicate_id
|
|||
syndication.first_syndicated
|
Boolean | f |
Description
Country Coverage
History
Volume
170 | Languages |
300,000 | News Sites |
1,000 | Jurisdictions |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Financial Data API 3.5M+ daily news articles?
Access relevant financial sources, in 170+ languages going back to 2008. 3.5M+ daily news articles with 39 filters, driving near real-time results. Get more insights of big news data feeds with enrichment of smart entities, article sentiment and article category.
What is Financial Data API 3.5M+ daily news articles used for?
This product has 5 key use cases. Webz.io recommends using the data for Investment Banking, Finance, Financial Intelligence, Bank Data Enrichment, and Financial Data Enrichment. Global businesses and organizations buy Commodity Data from Webz.io to fuel their analytics and enrichment.
Who can use Financial Data API 3.5M+ daily news articles?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Commodity Data. Get in touch with Webz.io to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Financial Data API 3.5M+ daily news articles go?
This product has 16 years of historical coverage. It can be delivered on a minutely and hourly basis.
Which countries does Financial Data API 3.5M+ daily news articles cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Webz.io is headquartered in Israel.
How much does Financial Data API 3.5M+ daily news articles cost?
Pricing information for Financial Data API 3.5M+ daily news articles is available by getting in contact with Webz.io. Connect with Webz.io to get a quote and arrange custom pricing models based on your data requirements.
How can I get Financial Data API 3.5M+ daily news articles?
Businesses can buy Commodity Data from Webz.io and get the data via REST API and Feed API. Depending on your data requirements and subscription budget, Webz.io can deliver this product in .json, .xml, and .xls format.
What is the data quality of Financial Data API 3.5M+ daily news articles?
You can compare and assess the data quality of Webz.io using Datarade’s data marketplace.
What are similar products to Financial Data API 3.5M+ daily news articles?
This product has 3 related products. These alternatives include CoinAPI: Cryptocurrency Data Bitcoin Cryptocurrency Data Ethereum Cryptocurrency Data BTC ETH Crypto Data +800 Cryptocurrencies CEX & DEX, ESG Data Impact Investing Data 14000+ Companies Monetized Impacts on Natural, Human & Financial Capital, and Dappier Financial & Real-Time Stock Market Data RAG API, LLM Compatible Market & Exchange Search. You can compare the best Commodity Data providers and products via Datarade’s data marketplace and get the right data for your use case.