Marketing Data | Brand Sentiment Data | Insurance Data | Entity Resolution & Disambiguation | NLP Enrichment
| # | company_name |
id |
associated_article_ids |
extraction_date |
event_date |
articles |
how_much_related |
layoff_reason |
number_of_people_laid_off |
percentage_of_people_laid_off |
min_number_of_people_laid_off |
max_number_of_people_laid_off |
summary |
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 | Xxxxx | xxxxxxxxxx | xxxxxx |
| 2 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
| 3 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
| 4 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx |
| 5 | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
| 6 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
| 7 | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| 8 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
| 9 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
| 10 | 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 |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
company_name
|
String | P. Graham Dunn | |
|
id
|
String | Qkx2T5IBvyT_ytpR0z34 | |
|
associated_article_ids
|
String | ['d03fb727f153c0ef9df2147eeae2dba4', '385eb1886e506351aee... | |
|
extraction_date
|
DateTime | 2024-10-02T23:00:40+00:00 | |
|
event_date
|
DateTime | 2022-10-20T00:00:00+00:00 | |
|
articles
|
String | [{'link': 'https://www.cantonrep.com/story/business/2024/... | |
|
how_much_related
|
String | Excellent | |
|
layoff_reason
|
String | Withdrawal from a process exploring potential buyers | |
|
number_of_people_laid_off
|
Integer | 92 | |
|
percentage_of_people_laid_off
|
Float | 100.0 | |
|
min_number_of_people_laid_off
|
Float | 92.0 | |
|
max_number_of_people_laid_off
|
Float | 92.0 | |
|
summary
|
String | P. Graham Dunn plans to shut down and permanently lay off... | |
|
location
|
String | [{'country': 'United States', 'city': 'Dalton', 'raw_loca... | |
|
states
|
String | ohio | |
|
cities
|
String | dalton | |
|
first_published_date
|
DateTime | 2024-10-02T21:58:38+00:00 | |
|
recent_published_date
|
DateTime | 2024-10-02T21:58:38+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
Related Searches
Related Products
Frequently asked questions
What is Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment?
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 Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment 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 Marketing Data from NewsCatcher API to fuel their analytics and enrichment.
Who can use Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Marketing 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 Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment 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 Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment 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 Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment cost?
Pricing information for Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment 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 Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment?
Businesses can buy Marketing 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 Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment?
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 Marketing Data Brand Sentiment Data Insurance Data Entity Resolution & Disambiguation NLP Enrichment?
This product has 3 related products. These alternatives include Brand Data Brand Reputation Data Entity Resolution & Disambiguation Trend Analysis, The Data Appeal Marketing Data API, Dataset 200 Million + POI Data Mapped Explore customer experience insights and business popularity., and Brand Data API Global Brand Sentiment Data 3.5M+ daily news articles. You can compare the best Marketing Data providers and products via Datarade’s data marketplace and get the right data for your use case.
NewsCatcher API
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