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Databar.ai
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Based on our record, JsonAPI should be more popular than Databar.ai. It has been mentiond 52 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
So my team & I at databar.ai built a Chrome extension which (we think) is truly easy to use. Basically two clicks to turn any website into a structured dataset (there's a video showing how it works here). Source: over 3 years ago
Hi everyone! My team & I are building databar.ai, a spreadsheet that can connect to APIs, run enrichments on top of your data, and automate data flows through a table UI. We've been experimenting with pricing models and decided to launch on Product Hunt with our product requiring you to either sign up for a demo (after registration) or purchase a plan (plans start at $17/mo). Source: over 3 years ago
Mentioned that in my OC comment that people in different cities might be more lenient when leaving reviews. Unfortunately the only way to normalize is to get reviews for all restaurants in a city, comparing them, and then normalizing. We can do that with databar.ai but didn't want to turn this analysis into a thesis :). Source: over 3 years ago
Tools used for visualizing & embedding the data: databar.ai. Source: over 3 years ago
We're developing databar.ai - a no-code UI to work with third party data sources and APIs. Our users so far have used our site to scrape Google Maps, access all sorts of financial/crypto datasets (we have I think ~300 crytpo/finance data sources right now), scrape news articles, and more. Source: about 4 years ago
REST does not define a standard batching mechanism at the protocol level. When batching is needed, it is handled through API design (such as bulk endpoints), infrastructure, or framework-specific solutions. Some specifications attempt to address this, such as ODataโs batch format or JSON:APIโs compound documents, but adoption is inconsistent. - Source: dev.to / 4 months ago
Why reinvent the wheel poorly when you have a hundred of solutions like https://jsonapi.org/? - Source: Hacker News / about 1 year ago
For context, the subject-predicate-object pattern is known as a semantic triple or Resource Description Framework (RDF) triple: https://en.wikipedia.org/wiki/Semantic_triple They're useful for storing social network graph data, for example, and can be expressed using standards like Open Graph and JSONAPI: https://ogp.me https://jsonapi.org I've stored RDF triples in database tables and experimented with query... - Source: Hacker News / about 1 year ago
Built on JSON API standards, the OSF API is intuitive for anyone familiar with REST conventions. Once you learn its core patterns, you can quickly expand into project creation, user collaboration, and moreโwithout constantly referencing documentation. The official OSF API docs provide everything needed to get started. - Source: dev.to / over 1 year ago
Following established patterns reduces the learning curve for your API. Adopt conventions from JSON:API or Microsoft API Guidelines to provide consistent experiences. - Source: dev.to / over 1 year ago
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.
Datatera.ai - B2B SaaS no-code tool to simplify all data you have
graphql.js - A reference implementation of GraphQL for JavaScript - graphql/graphql-js
ScrapIn - LinkedIn Scraper without limit
Apollo - Apollo is a full project management and contact tracking application.