Web Scraping Data | Sentiment Data | Semantic Website Data | Entity Extraction & Disambiguation | Risk Analysis
| # | company_name |
id |
associated_article_ids |
extraction_date |
event_date |
articles |
how_much_related |
change_type |
summary |
affected_people_count |
location |
states |
cities |
first_published_date |
recent_published_date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx |
| 2 | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
| 3 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
| 4 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
| 5 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx |
| 6 | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
| 7 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
| 8 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx |
| 9 | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
| 10 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx |
| ... | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
company_name
|
String | Duke Energy | |
|
id
|
String | Tkx3T5IBvyT_ytpRQT1c | |
|
associated_article_ids
|
String | ['e2e51758d4b213bcb90be68658b7491d'] | |
|
extraction_date
|
DateTime | 2024-10-02T23:01:08+00:00 | |
|
event_date
|
DateTime | 2023-10-02T00:00:00+00:00 | |
|
articles
|
String | [{'link': 'https://www.bizjournals.com/pittsburgh/news/20... | |
|
how_much_related
|
String | Good | |
|
change_type
|
String | WFH | |
|
summary
|
String | Duke Energy dramatically reduced its overall office footp... | |
|
affected_people_count
|
Float | 0.0 | |
|
location
|
String | [{'country': 'United States', 'city': 'Charlotte', 'raw_l... | |
|
states
|
String | north carolina | |
|
cities
|
String | charlotte | |
|
first_published_date
|
DateTime | 2024-10-02T21:59:00+00:00 | |
|
recent_published_date
|
DateTime | 2024-10-02T21:59:00+00:00 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
title
|
String | OpenAI Completes Deal That Values Company at $157 Billion | |
|
author
|
String | Cade Metz | |
|
published_date
|
Date | 2024-10-02 17:00:52 | |
|
updated_date
|
Date | 2024-10-02 18:00:49 | |
|
link
|
String | https://www.nytimes.com/2024/10/02/technology/openai-valu... | |
|
name_source
|
String | The New York Times | |
|
country
|
String | US | |
|
rank
|
Integer | 57 | |
|
description
|
String | ||
|
content
|
String | ||
|
word_count
|
String | 712 | |
|
is_opinion
|
Boolean | false | |
|
score
|
Decimal | 1.9989564 |
Description
Country Coverage
History
Volume
| 8 | minutes latency |
| 55 | languages |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
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Frequently asked questions
What is Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis?
Track specific events that influence the market you operate in. NewsCatcher scans news articles from over 90,000 outlets worldwide, including hyper-local media, to identify and cluster events across various categories: fundraising, HQ changes, layoffs, product launches, financial crimes, etc.
What is Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis used for?
This product has 5 key use cases. NewsCatcher API recommends using the data for Asset Management, Market Analytics, Risk Analysis, Inventory Management, and Company Risk Analysis. Global businesses and organizations buy Semantic Website Data from NewsCatcher API to fuel their analytics and enrichment.
Who can use Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Semantic Website Data. Get in touch with NewsCatcher API to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis go?
This product has 5 years of historical coverage. It can be delivered on a minutely, hourly, daily, weekly, quarterly, yearly, and on-demand basis.
Which countries does Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis cover?
This product includes data covering 250 countries like USA, China, Japan, Germany, and India. NewsCatcher API is headquartered in United States of America.
How much does Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis cost?
Pricing information for Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis is available by getting in contact with NewsCatcher API. Connect with NewsCatcher API to get a quote and arrange custom pricing models based on your data requirements.
How can I get Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis?
Businesses can buy Semantic Website Data from NewsCatcher API and get the data via S3 Bucket, SFTP, Email, Streaming API, and Feed API. Depending on your data requirements and subscription budget, NewsCatcher API can deliver this product in .json, .xml, .csv, .xls, and .txt format.
What is the data quality of Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis?
NewsCatcher API has reported that this product has the following quality and accuracy assurances: 99.95% SLA, 95% coverage per source. You can compare and assess the data quality of NewsCatcher API using Datarade’s data marketplace. NewsCatcher API has received 2 reviews from clients. NewsCatcher API appears on selected Datarade top lists ranking the best data providers, including Best +8 News APIs to use in 2023.
What are similar products to Web Scraping Data Sentiment Data Semantic Website Data Entity Extraction & Disambiguation Risk Analysis?
This product has 3 related products. These alternatives include TagX Web Scraping Data Web data extraction Scrape Ecommerce websites Data from all popular domains Global web data 100% compliant, Factori Web Data Global web browsing & activity data feed (4.2 Billion records), and Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records. You can compare the best Semantic Website Data providers and products via Datarade’s data marketplace and get the right data for your use case.
NewsCatcher API
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