Title Use Cases

The "title" filter in Webz.io’s open web API allows users to refine search results by specifying keywords or phrases that must (or must not) appear in the article title. This filter supports Boolean queries, enabling users to construct complex search criteria that target specific words, phrases, or combinations of terms in article titles. Here’s how this filter can be valuable across various use cases:

1. Focused Topic Monitoring: Businesses or analysts can specify keywords relevant to a particular topic, ensuring that only articles with titles containing those terms are retrieved. For instance, a user interested in cryptocurrency could set the title filter to include "Bitcoin" or "Ethereum" to receive articles specifically about those currencies.
2. Brand and Competitor Tracking: Companies can use the title filter to monitor mentions of their brand or competitors in article titles, which often signals key stories, announcements, or significant developments. For example, setting the filter to include "Apple" AND "iPhone" will focus on articles where both terms appear, likely covering relevant product news or updates.
3. Sentiment and Reputation Analysis: By filtering for positive or negative terms in titles (e.g., "scandal" OR "award"), organizations can quickly capture articles with titles that reflect either positive or negative sentiment. This is helpful for reputation management and understanding public perception.
4. Event and Crisis Monitoring: During crises or major events, companies can filter for titles containing specific keywords related to the event, such as "earthquake" AND "California." This enables real-time monitoring of critical information from relevant titles, which often provide a summary of the article's core focus.
5. Content Curation for Niche Audiences: Content aggregators can use this filter to select articles with titles that match specific interests, such as "sustainable" AND "energy" for environmentally focused readers. This helps create customized feeds with articles likely to resonate with a target audience.
6. Excluding Irrelevant Results: The Boolean capabilities allow users to exclude certain keywords. For instance, a user looking for “Java” (the programming language) could set the filter to include "Java" but exclude "coffee," ensuring that results are programming-related rather than coffee-related.
7. Researching Emerging Trends and Topics: Researchers studying trends can filter for specific terms related to new concepts or technologies, like "AI" AND "innovation." Titles often highlight emerging topics, so this filter helps identify trend-related articles more efficiently.
8. Creating Highly Specific Data Sets: The Boolean flexibility allows users to create highly customized data sets by including and excluding precise keywords. For example, combining "climate" AND "policy" NOT "local" might yield articles focused on national or international climate policy, excluding less relevant local news.

By using the title filter with Boolean operators, users gain control over the specific words and phrases that appear in article titles, helping them to streamline data collection, monitor specific topics, and curate highly relevant content tailored to their needs.

Example query: title:samsung
Return posts that mention “samsung” in the title