This article is relevant only for our News, Blogs, Forums & Reviews APIs and not for our dark and cyber web data APIs
The "section_title" filter in Webz.io’s open web API allows users to filter results based on keywords within the title of a website section where an article was published. This filter uses a Boolean query, enabling users to specify keywords that must be included or excluded in the section title, such as “sports,” “finance,” or “opinion.” Here’s how the section_title filter is beneficial in various use cases:
- Focused Topic Tracking: By specifying keywords relevant to a particular topic, users can filter for articles from sections like “technology,” “science,” or “health.” This helps businesses or researchers hone in on content directly relevant to their field, reducing irrelevant results from other sections of the site.
- Targeted Brand Monitoring: Brands can use this filter to track mentions of their company in specific contexts, such as the “opinion” or “reviews” sections. This enables them to monitor public sentiment, product reviews, or editorial commentary specifically rather than general mentions across the site.
- Curating Content for Niche Audiences: Content platforms and news aggregators can leverage the section_title filter to gather articles from sections that align with their audience’s interests, such as “entertainment” for lifestyle readers or “market news” for financial audiences. This ensures the feed is highly relevant and appealing to specific reader segments.
- Competitor Analysis in Key Sections: Companies can use keywords like “news” or “press releases” to monitor competitor activities reported in those specific sections. This focused approach helps them track competitor announcements or coverage in authoritative contexts, ensuring more targeted insights.
- Academic Research on Specific Perspectives: Researchers interested in how topics are discussed in editorial or analytical contexts can filter for sections like “opinion” or “editorial.” This allows them to study perspectives, sentiments, or in-depth discussions, offering a richer view of public discourse.
- Excluding Irrelevant Content: The Boolean capability of this filter allows users to exclude keywords as well. For instance, if a user is interested in “sports” news but wants to avoid “opinion” pieces, they can set the filter to include “sports” and exclude “opinion.” This refines the search results to meet more specific criteria.
- Filtering for Site Structure-Specific Content: Some websites organize certain types of information under specific section titles, like “breaking news” or “local news.” Using these as keywords in the section_title filter allows users to focus on specific content types that align with their objectives, like real-time updates or regional news.
The section_title filter enables users to perform more granular searches by specifying keywords in the section title, helping them capture content from the most relevant sections and exclude less relevant data. This focused filtering is ideal for monitoring specific topics, analyzing public sentiment in editorial pieces, and creating highly targeted content feeds.
Example query: section_title:sports
Return posts published on sections name that contain the keyword sports.