ZoomInfo VS JsonAPI
Compare ZoomInfo VS JsonAPI and see what are their differences
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ZoomInfo
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JsonAPI
GraphQL
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ZoomInfo makes it much easier to identify decision-makers, prioritize high-value accounts, and keep pipelies moving. With powerful AI automation and high-quality data, it's an all-in-one solution for sales, marketing, and RevOPs teams who want to save time and drive revenue growth.
As a B2B database, ZoomInfo certainly has a lot to offer. Its detailed business information on people and companies is impressive, and I've found it to be a useful resource for researching potential clients and partners.
However, I do have a few criticisms of the product. Firstly, its pricing is quite steep, especially compared to other B2B databases on the market. This makes it difficult for smaller businesses or startups to justify the cost. Additionally, while the information on ZoomInfo is generally accurate and up-to-date, I have come across a few instances where the information was incomplete or outdated.
Despite these drawbacks, ZoomInfo is still a good resource for business information. It just might not be the best option out there. If you're willing to pay for a premium service, then ZoomInfo could be worth considering. However, if you're looking for more cost-effective alternatives, there are several options to consider.
Based on our record, JsonAPI should be more popular than ZoomInfo. 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.
Skip ZoomInfo for this use case. It's enterprise-contract priced, built for outbound prospecting from company lists, and adds zero value for personal email resolution. Same story with Lusha โ excellent for Chrome extension-style lookups starting from a LinkedIn profile, wrong tool for an automated inbound pipeline. - Source: dev.to / 3 months ago
Most SDR stacks start with a contact database โ ZoomInfo, Apollo, or Lusha โ and treat enrichment as a one-time step at the top of the funnel. The problem: these databases are 3โ18 months stale on average. Job titles change. Companies restructure. Decision-makers who were Director of Engineering in Q1 are VP by Q3. - Source: dev.to / 4 months ago
Kaspr is the most LinkedIn-native option on this list. The Chrome extension sits on LinkedIn profiles and exports contact data directly โ phone numbers, emails, and CRM sync. 120M+ European contacts is their differentiator; US coverage is noticeably thinner. Starting at $74/month, it's not cheap for light usage, but teams running 200+ LinkedIn outreach touches per month will find the unit economics work. Kaspr is... - Source: dev.to / 4 months ago
For the phone calls - there's a decent chance they got your number from zoominfo.com - you can go there and request to be removed. Source: about 3 years ago
I just found a few data collator sites, zoominfo.com and signalhire.com are just two - they seem to scrape sites like Linkedin etc and collate everything. Personal numbers can be found pretty easily, if you've ever signed up for a business identification number it could be there, could be in a data leak somewhere - these companies are pretty shady and will buy data from places to just get a lead. Source: over 3 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.
Lusha - Search less. Sell more.
graphql.js - A reference implementation of GraphQL for JavaScript - graphql/graphql-js
Hunter.io - Find all the email addresses related to a domain
Apollo - Apollo is a full project management and contact tracking application.