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Zapier

Automate tasks between other online services (services like Salesforce, Basecamp, Gmail, and 400+ more)
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What is Zapier?

Zapier is for busy people who know their time is better spent selling, marketing, or coding. Instead of wasting valuable time coming up with complicated systems - you can use Zapier to automate the web services you and your team are already using on a daily basis.
Zapier is a tool in the Web Service Automation category of a tech stack.

Who uses Zapier?

Companies
295 companies reportedly use Zapier in their tech stacks, including Typeform, thoughtbot, and esa.

Developers
365 developers on StackShare have stated that they use Zapier.

Zapier Integrations

Slack, Intercom, PagerDuty, LiveChat, and Contentful are some of the popular tools that integrate with Zapier. Here's a list of all 218 tools that integrate with Zapier.

Why developers like Zapier?

Here鈥檚 a list of reasons why companies and developers use Zapier
Zapier Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Zapier in their tech stack.

Julien DeFrance
Julien DeFrance
Principal Software Engineer at Tophatter | 16 upvotes 513.3K views
atSmartZipSmartZip
Rails
Rails
Rails API
Rails API
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Capistrano
Capistrano
Docker
Docker
Amazon S3
Amazon S3
Amazon RDS
Amazon RDS
MySQL
MySQL
Amazon RDS for Aurora
Amazon RDS for Aurora
Amazon ElastiCache
Amazon ElastiCache
Memcached
Memcached
Amazon CloudFront
Amazon CloudFront
Segment
Segment
Zapier
Zapier
Amazon Redshift
Amazon Redshift
Amazon Quicksight
Amazon Quicksight
Superset
Superset
Elasticsearch
Elasticsearch
Amazon Elasticsearch Service
Amazon Elasticsearch Service
New Relic
New Relic
AWS Lambda
AWS Lambda
Node.js
Node.js
Ruby
Ruby
Amazon DynamoDB
Amazon DynamoDB
Algolia
Algolia

Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

Future improvements / technology decisions included:

Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

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Cooper Marcus
Cooper Marcus
Director of Ecosystem at Kong Inc. | 13 upvotes 68.3K views
atKongKong
New Relic
New Relic
GitHub
GitHub
Zapier
Zapier
#GitHubAnalytics
#OpenSourceCommunityAnalytics
#CommunityAnalytics
#RepoAnalytics

I've used more and more of New Relic Insights here in my work at Kong. New Relic Insights is a "time series event database as a service" with a super-easy API for inserting custom events, and a flexible query language for building visualization widgets and dashboards.

I'm a big fan of New Relic Insights when I have data I know I need to analyze, but perhaps I'm not exactly sure how I want to analyze it in the future. For example, at Kong we recently wanted to get some understanding of our open source community's activity on our GitHub repos. I was able to quickly configure GitHub to send webhooks to Zapier , which in turn posted the JSON to New Relic Insights.

Insights is schema-less and configuration-less - just start posting JSON key value pairs, then start querying your data.

Within minutes, data was flowing from GitHub to Insights, and I was building widgets on my Insights dashboard to help my colleagues visualize the activity of our open source community.

#GitHubAnalytics #OpenSourceCommunityAnalytics #CommunityAnalytics #RepoAnalytics

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Spenser Coke
Spenser Coke
Product Engineer at Loanlink.de | 8 upvotes 152.6K views
atLoanlink GmbhLoanlink Gmbh
Rails
Rails
AngularJS
AngularJS
.NET
.NET
Node.js
Node.js
React
React
GitHub
GitHub
Trello
Trello
Zapier
Zapier
Mailchimp
Mailchimp
Google Drive
Google Drive
Vue.js
Vue.js
HTML5
HTML5

When starting a new company and building a new product w/ limited engineering we chose to optimize for expertise and rapid development, landing on Rails API, w/ AngularJS on the front.

The reality is that we're building a CRUD app, so we considered going w/ vanilla Rails MVC to optimize velocity early on (it may not be sexy, but it gets the job done). Instead, we opted to split the codebase to allow for a richer front-end experience, focus on skill specificity when hiring, and give us the flexibility to be consumed by multiple clients in the future.

We also considered .NET core or Node.js for the API layer, and React on the front-end, but our experiences dealing with mature Node APIs and the rapid-fire changes that comes with state management in React-land put us off, given our level of experience with those tools.

We're using GitHub and Trello to track issues and projects, and a plethora of other tools to help the operational team, like Zapier, MailChimp, Google Drive with some basic Vue.js & HTML5 apps for smaller internal-facing web projects.

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KISSmetrics
KISSmetrics
Slack
Slack
Shopify
Shopify
Zapier
Zapier
Salesforce Sales Cloud
Salesforce Sales Cloud
G Suite
G Suite

The decision to go with KISSmetrics for our main live user input analytics tool was based on the integrations available with Slack and Shopify . Alterting the right people based on user actions without the noise that most of the tools will push as notification made the difference between KISSmetrics and the rest in this segment. Then the fact that Zapier can connect KISSmetrics with other apps like Salesforce Sales Cloud and G Suite makes the process very smooth.

Also the fact that we can automate some of the campaigns is saving a lot of time

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Julien DeFrance
Julien DeFrance
Principal Software Engineer at Tophatter | 2 upvotes 12.7K views
atSmartZipSmartZip
AutopilotHQ
AutopilotHQ
Segment
Segment
Zapier
Zapier
Intercom
Intercom

Achieving #MarketingAutomation using AutopilotHQ

Some of the key aspects evaluated here: - Ability to integrate with Segment or Zapier - Being multi-channel (Not just Email automation) - Dozens of integrations and capabilities: SFDC, In app messages, SMS, Push Notifications, Direct Mail, Segment Events... - Allowing teams to operate outside of engineering dependencies - Segmentation against user attributes / user traits - Static or Dynamic segments - Concept of user journeys - And more

Combined with Segment and its own sets of integrations and capabilities, AutopilotHQ ended up being a very powerful tool for Product Marketing to use at SmartZip.

Couple of years later, there certainly were some overlap with the features offered by Intercom 's engagement module , but our team kept on using this tool given the greater range of functionality / capabilities.

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Trello
Trello
Zapier
Zapier
GitHub
GitHub

Although Trello has some good and easy to use triggers to push updates from Trello in different environments we use, using Zapier has made our life much easier. Creating a zap is easy and a full management of those zaps are in a full overview to review and manage.

With GitHub in the same combo with Zapier and Trello it's very easy to track issues and bugs and make them available to the responsible project manager or team directly.

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Zapier's Features

  • A Zap is a blueprint for a task you want to do over and over. In words, a Zap looks like this: "When I get a new thing in A, do this other thing in B." The first part is the trigger and the second part is the action. An example is "When I get a new entry from a Wufoo form, create a new lead in Salesforce."
  • You can pick what fields from the trigger service should go to the action service and you can use static text and custom fields too. For instance, you might say that the phone number from your Wufoo form should be the work phone of your new Salesforce lead.
  • Zapier regularly checks your trigger for new data. When the Zap triggers, Zapier automatically performs your action for you. Continuing with the Wufoo scenario, say you receive five new entries. Zapier takes each one and makes a new lead in Salesforce, customized to the way you specified in your Zap.
  • Without any more effort from you, data flows from one service to the other

Zapier Alternatives & Comparisons

What are some alternatives to Zapier?
IFTTT
Create powerful connections with one simple statement: if this then that. For example: "Backup my contacts to a Google Spreadsheet"
Automate.io
Automate.io allows businesses to connect different cloud / SaaS applications, and automate workflows across (marketing, sales, and other internal processes). One can create simple one-to-one integrations to sync data or complex workflows across multiple applications. It helps create workflow bots on top of 100+ popular cloud applications - Salesforce, Google Apps, Trello, Hubspot, Quickbooks, Shopify and many more.
Integromat
It is an easy to use, powerful tool with unique features for automating manual processes. Connect your favorite apps, services and devices with each other without having any programming skills.
Tray.io
It is cloud data integration platform designed for marketing, sales, and customer support teams of medium-sized companies and large enterprises.
Ghost Inspector
It lets you create and manage UI tests that check specific functionality in your website or application. We execute these automated browser tests continuously from the cloud and alert you if anything breaks.
See all alternatives

Zapier's Followers
409 developers follow Zapier to keep up with related blogs and decisions.
Mark Crane
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jpridgely
stackestimating
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Tony Mossfield
Steve Walker
Kevin Campion