Web Scraping News Data | B2B Sentiment Data | Categorized News Events | 19M Blogs, PR Sites and News Sites | 7.5M+ Records product image in hero

Web Scraping News Data | B2B Sentiment Data | Categorized News Events | 19M Blogs, PR Sites and News Sites | 7.5M+ Records

PredictLeads
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#
Website Domain
Formatted Signal
Website 1
Company Name 1
Ticker 1
Signal Category
Website 2
Company Name 2
Ticker 2
Found At
Effective Date
Most Relevant Source URL
Sentence
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx
2 Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx
3 Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx
4 Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx
5 Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx
6 xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx
7 xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx
8 xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx
9 xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx
10 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
Sign In To Preview Data
Volume
7
Million News Events Detected
Data Quality
95%
Accuracy
Avail. Format
.json
File
Coverage
250
Countries
History
9
years

Data Dictionary

[Sample] PredictLeads_NewsEvents_Data_Sample.csv
Attribute Type Example Mapping
Website Domain
String figma.com
Formatted Signal
String Figma launches Figma Slides.
Website 1
String figma.com
Company Name 1
String Figma
Ticker 1
String
Signal Category
String launches
Website 2
String
Company Name 2
String
Ticker 2
String
Found At
DateTime 2024-06-27T00:00:00+00:00
Effective Date
String
Most Relevant Source URL
String https://techlabari.com/figma-unveils-new-redesign-and-ai-...
Sentence
String In addition to these features, Figma has also introduced ...

Description

PredictLeads delivers essential B2B sentiment and news data through advanced web scraping, supporting market analysis, customer profiling, and strategic planning. Our Categorized News Events Dataset enables targeted business operations and data-driven decision-making, ensuring a competitive edge.
PredictLeads News Events Data provides real-time market intelligence by capturing business-critical news events, categorizing them for sentiment analysis, company profiling, and competitive tracking. Our dataset leverages advanced web scraping and AI-driven classification, ensuring access to highly relevant insights that help businesses monitor competitors, assess risks, and refine growth strategies. Use Cases: ✅ Sentiment Analysis – Gauge public perception and market sentiment to refine brand positioning. ✅ Account Profiling – Enrich CRM systems with real-time company event tracking. ✅ Competitive Intelligence – Monitor industry news, mergers, and expansions to anticipate market shifts. ✅ Market Research – Analyze business website updates and categorized news data for trend forecasting. ✅ Risk Assessment – Detect negative sentiment or financial distress indicators in key market players. Key API Attributes: - id (string, UUID) – Unique identifier for the news event. - category (string) – Categorization of the event (e.g., funding, acquisition, leadership change). - summary (string) – A brief overview of the detected event. - sentiment_score (float, nullable) – Positive, neutral, or negative sentiment rating for the event. - found_at (ISO 8601 date-time) – Timestamp when the news event was detected. - article_sentence (string, nullable) – Extracted key sentence from the news article. - location (string, nullable) – Geographic relevance of the event (e.g., company HQ, expansion region). - company (object) – The company associated with the event, including: - domain (string) – Company’s website domain. - company_name (string) – Official company name. - ticker (string, nullable) – Stock ticker (if publicly traded). - source_url (string, URL) – Link to the original news article or company update. 📌 PredictLeads News Events Data is trusted by market leaders for real-time competitive intelligence, ensuring faster, data-driven decision-making in sales, finance, and strategic planning. API Example: https://docs.predictleads.com/v3/guide/news_events_dataset/data_model

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

9 years of historical data

Volume

7 Million News Events Detected
0 Million Websites

Pricing

Free sample available
PredictLeads has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
Accuracy

Delivery

Methods
S3 Bucket
SFTP
REST API
Feed API
Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json

Use Cases

Categories

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Frequently asked questions

What is Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records?

PredictLeads delivers essential B2B sentiment and news data through advanced web scraping, supporting market analysis, customer profiling, and strategic planning. Our Categorized News Events Dataset enables targeted business operations and data-driven decision-making, ensuring a competitive edge.

What is Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records used for?

This product has 5 key use cases. PredictLeads recommends using the data for 360-Degree Customer View, Account Profiling, Sentiment Analysis, Company Analysis, and Analytics. Global businesses and organizations buy News Data from PredictLeads to fuel their analytics and enrichment.

Who can use Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for News Data. Get in touch with PredictLeads 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 News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records go?

This product has 9 years of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.

Which countries does Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. PredictLeads is headquartered in United States of America.

How much does Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records cost?

Pricing information for Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records is available by getting in contact with PredictLeads. Connect with PredictLeads to get a quote and arrange custom pricing models based on your data requirements.

How can I get Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records?

Businesses can buy News Data from PredictLeads and get the data via S3 Bucket, SFTP, REST API, and Feed API. Depending on your data requirements and subscription budget, PredictLeads can deliver this product in .json format.

What is the data quality of Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records?

PredictLeads has reported that this product has the following quality and accuracy assurances: 95% Accuracy. You can compare and assess the data quality of PredictLeads using Datarade’s data marketplace. PredictLeads has received 1 review from clients.

What are similar products to Web Scraping News Data B2B Sentiment Data Categorized News Events 19M Blogs, PR Sites and News Sites 7.5M+ Records?

This product has 3 related products. These alternatives include News Data Web Scraping Data Web Browsing Data Sentiment Score for News, Web Data Web Scraping Data Technographic Data Source: Job Openings, HTML and JavaScripts 756M+ Records, and InfoTrie’s News Data – real-time & daily news data via Data/API on 100M+ articles, 100K news websites. You can compare the best News Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

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