Real Estate Market Data | Property Market Data | Entity Extraction | NLP Enrichment
| # | company_name |
id |
associated_article_ids |
extraction_date |
event_date |
articles |
how_much_related |
unified_news_type |
summary |
news_type |
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 | Good Company | |
|
id
|
String | TEx3T5IBvyT_ytpROT0Z | |
|
associated_article_ids
|
String | ['7cbbacec80940ff5f0b44af68e7377db'] | |
|
extraction_date
|
DateTime | 2024-10-02T23:01:06+00:00 | |
|
event_date
|
DateTime | 2024-10-02T00:00:00+00:00 | |
|
articles
|
String | [{'link': 'https://www.fourstateshomepage.com/news/missou... | |
|
how_much_related
|
String | Good | |
|
unified_news_type
|
String | property taxes | |
|
summary
|
String | The county commission in Jasper County has approved a mea... | |
|
news_type
|
String | property tax freeze for senior citizens | |
|
location
|
String | [{'country': 'United States', 'city': 'Jasper County', 'r... | |
|
states
|
String | missouri | |
|
cities
|
String | jasper county | |
|
first_published_date
|
DateTime | 2024-10-02T21:54:49+00:00 | |
|
recent_published_date
|
DateTime | 2024-10-02T21:54:49+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 |
Pricing
Suitable Company Sizes
Quality
Delivery
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Frequently asked questions
What is Real Estate Market Data Property Market Data Entity Extraction NLP Enrichment?
Track changes in real estate regulations and their impact on economics. NewsCatcher scans news articles from over 90,000 outlets worldwide, including hyper-local media, to identify and cluster events across various categories.
What is Real Estate Market Data Property Market Data Entity Extraction 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 Property Market Data from NewsCatcher API to fuel their analytics and enrichment.
Who can use Real Estate Market Data Property Market Data Entity Extraction NLP Enrichment?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Property Market 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 Real Estate Market Data Property Market Data Entity Extraction 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 Real Estate Market Data Property Market Data Entity Extraction NLP Enrichment cover?
This product includes data covering 1 country like USA. NewsCatcher API is headquartered in United States of America.
How much does Real Estate Market Data Property Market Data Entity Extraction NLP Enrichment cost?
Pricing information for Real Estate Market Data Property Market Data Entity Extraction 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 Real Estate Market Data Property Market Data Entity Extraction NLP Enrichment?
Businesses can buy Property Market 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 Real Estate Market Data Property Market Data Entity Extraction 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 Real Estate Market Data Property Market Data Entity Extraction NLP Enrichment?
This product has 3 related products. These alternatives include Xverum Real Estate Data 150M Locations Asian Real Estate Market Data Real-time Property Market Data 100% Compliant Asian Home Ownership Data, CrawlBee Realtor.com Dataset Property Listings MLS Data Real Estate Data Residential Data Realtime Real Estate Market Data, and Zillow Real Estate Data Extraction Real-time Real Estate Market Data No Infra Cost Pre-built AI & Automation 50% Cost Saving Free Sample. You can compare the best Property Market Data providers and products via Datarade’s data marketplace and get the right data for your use case.
NewsCatcher API
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