HOW TO use Bing Search v5 API with JavaScript

Taking off from the single basic JavaScript sample on the newly minted version 5 of Bing Search API, I put together a couple of samples of my own. You'll have to sign-up for a free key from Microsoft Cognitive Services to replace in the code samples to try them & also experiment with all the other APIs that are available



Bing Search API gets not just web search results but also image, news, & videos results for a given query and allows up to 1,000 free transactions per month across all Bing Search APIs

Google Custom Search API has a few additional steps & provides 100 search queries per day for free

This comparison of version 2 and 5 highlights the improvements -
Category Feature v2 v5
Web Search REST API x x
Related searches x x
Ranked Answers
(image, video, news, math, time)		 x
Deep links (for first web page result) x
Adult intent signal x
Image Search REST API x x
Enhanced filters: image size, license, style x
Visually similar images and products x
Merchant and recipe sources
(for product and food images)		 x
Trending images x
Entity recognition (for people) x
Computer-generated captions x
Video Search REST API x x
Video previews (motion thumbnails) x
Enhanced video metadata
(creator, resolution, view count)		 x
Free / Paid video filter x
Trending videos x
News search REST API x x
News articles by category or market x x
Trending news (general or by category) x
Enhanced article metadata, including featured entities
Spell Check REST API x
Autosuggest REST API x
General Location and market awareness x x
Spelling suggestions x x
Safe search x x
Related searches x x
Continuous relevance improvements x
Ongoing support and feature improvements x

Related: Google vs. Microsoft Bing Search APIs: A Detailed Comparison

Comments

Post a Comment

Popular posts from this blog

Kai-Fu Lee on China-US AI Race - Q&A Transcript from a Bloomberg Interview

Image
Kai-Fu Lee, Chairman of Sinovation Ventures and author of  AI Superpowers and  AI 2041: Ten Visions for Our Future on the China-US AI Race Q: There's still a lot of challenges when it comes to the whole monetization of AI, according to his perspective. In the last three years, though, how have you looked at this whole evolution of China AI versus the US, and what are the advantages and challenges for China? A: Yeah, so firstly, I disagree on the prospects for the USA. USA because yes, you look at OpenAI, it's making half billion spending 40 billion. It looks like a bad balance sheet, but most of that 40 billion is spent for future revenues. And if you believe there are 2x, 3x, 5x growth for the next three years, it's going to justify that valuation at some point. The bubble is merely that it's gotten ahead of itself, not the likelihood of growth in the future. Not saying it's worth its price, right, but there's absolute substance under the thumb. Now back to t...
Read more

The Mercurial Grok AI Assistant Understands & Speaks Indian Languages

Image
Grok , the AI model developed by Elon Musk's xAI, can understand when you type Indian languages like Hindi, Telugu, Odia or other Indian regional languages using English letters (like when you type 'namaste' instead of 'नमस्ते'), and it can respond by mixing English with those languages. Grok doesn't necessarily need the native script of these languages. It has natural language processing abilities that extend to multiple languages. This is great innovation because many people in India, especially in online communication, use transliteration. Grok can generate responses that combine English words and phrases with words and phrases from the regional language you used in your input. For example, if you ask a question using a mix of English and Telugu transliteration, Grok might respond with a sentence that includes both English and Telugu words. Check these Hindi, Telugu, Odiya samples - Grok, ab Hindi mein Grōk, ippuḍu telugulō Grok, Oḍiā re This way Grok is more...
Read more

40 Talks from the Google Web AI Summit 2025

Image
Front-end leaders share their experience on pushing the boundaries of Web AI and run machine learning models entirely client side in the browser via JavaScript to get privacy, lower costs, and lower latency. From traditional AI models to Generative AI such as large language models (LLMs) and diffusion models, discover the latest advances of Web AI in 2024 that are accelerated by technologies such as WebAssembly, WebGPU, and WebNN.
Read more