Rockset

Rockset is a serverless search and analytics engine that allows you to create live dashboards and real-time data APIs on DynamoDB, Kafka, S3 and more.

Integrate the Rockset API with the X (Twitter) API

Setup the Rockset API trigger to run a workflow which integrates with the X (Twitter) API. Pipedream's integration platform allows you to integrate Rockset and X (Twitter) remarkably fast. Free for developers.

Add Documents with Rockset API on New Follower of User from Twitter API
X (Twitter) + Rockset
 
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Add Documents with Rockset API on New List Followed from Twitter API
X (Twitter) + Rockset
 
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Add Documents with Rockset API on New Mention Received by User from Twitter API
X (Twitter) + Rockset
 
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Add Documents with Rockset API on New Tweet in List from Twitter API
X (Twitter) + Rockset
 
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Add Documents with Rockset API on New Tweet Liked by User from Twitter API
X (Twitter) + Rockset
 
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New Follower Received by User from the X (Twitter) API

Emit new event when the specified User receives a Follower See the documentation

 
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New List Followed by User from the X (Twitter) API

Emit new event when the specified User follows a List See the documentation

 
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New Mention Received by User from the X (Twitter) API

Emit new event when the specified User is mentioned in a Tweet See the documentation

 
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New Message Received from the X (Twitter) API

Emit new event when a new Direct Message (DM) is received See the documentation

 
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New Tweet Liked by User from the X (Twitter) API

Emit new event when a Tweet is liked by the specified User See the documentation

 
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Add Documents with the Rockset API

Add documents to a collection in Rockset. Learn more at https://docs.rockset.com/rest/#adddocuments.

 
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Search Tweets with the X (Twitter) API

Retrieve Tweets from the last seven days that match a query. See the documentation

 
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Create API Key with the Rockset API

Create a new API key for the authenticated user.

 
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Add User To List with the X (Twitter) API

Add a member to a list owned by the user. See the documentation

 
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Create Integration with the Rockset API

Create a new integration with Rockset. Learn more at https://docs.rockset.com/rest/#createintegration

 
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Overview of Rockset

Rockset API is a modern API for real-time query on complex data. With Rockset,
you can build applications with routinely updated datasets, such as web traffic
logs, machine generated data, sensor data, ad-tracking data, and IoT device
data, to unlock real-time insights and actionability. In this article, we’ll
discuss the various types of applications you can build with Rockset API.

Rockset gives you the power to:

  • Quickly ingest and index data from a variety of sources such as Kafka,
    MongoDB and Amazon S3.
  • Perform complex analytical queries regardless of data complexity, structure
    and size.
  • Perform interactive computing on large volumes of data using SQL.
  • Build web or mobile applications with sophisticated analytics capabilities.

Here are some example applications you can build using Rockset API:

  • Personalized Shopping Experiences: Leverage data from many customer
    touchpoints, such as social media, web and app usage, customer support
    tickets and customer reviews, to build personalized shopping experiences.
  • Automated Fraud Detection: Create and monitor automated fraud detection
    systems that ingest and analyze various types of data in real-time to detect
    anomalous user behaviors.
  • Smart IoT: Create a connected infrastructure that lets you develop and deploy
    intelligent applications that can understand, store and analyze IoT data
    streams.
  • Machine Learning: Build applications that can quickly access, prepare and
    analyze data used for predictive analysis.
  • Log Management and Analytics: Collect, monitor and analyze log data from
    various sources to monitor system performance and alert on anomalies.

Connect Rockset

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rockset: {
      type: "app",
      app: "rockset",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rs2.usw2.rockset.com/v1/orgs/self/users/self`,
      headers: {
        "Authorization": `ApiKey ${this.rockset.$auth.apikey}`,
      },
    })
  },
})

Connect X (Twitter)

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import { axios } from "@pipedream/platform"
import twitter from "@pipedream/twitter"
export default defineComponent({
  props: {
    twitter
  },
  async run({steps, $}) {
    const config = {
      url: `https://api.twitter.com/2/users/me`,
      params: {
        "user.fields": `created_at,description,entities,id,location,name,pinned_tweet_id,profile_image_url,protected,url,username,verified,withheld`,
        expansions: `pinned_tweet_id`,
      },
    }
    const headers = this.twitter._getAuthHeader(config)
    return await axios($, {
      ...config,
      headers
    })
  },
})
Using Event Sources and Workflows: Analyze Twitter Sentiment in Real-Time and Save to Google Sheets
Using Event Sources and Workflows: Analyze Twitter Sentiment in Real-Time and Save to Google Sheets
Learn how you can use Pipedream event sources and serverless workflows to listen for new Twitter mentions, analyze the sentiment of each Tweet using the npm sentiment package (https://www.npmjs.com/package/sentiment), and then save that data to Google Sheets in real-time.
Entering Data in Params Forms
Entering Data in Params Forms
Learn about the new model to enter expressions and reference previous step exports in params forms.
Managing the Concurrency and Execution Rate of Workflow Events
Managing the Concurrency and Execution Rate of Workflow Events
Managing the Concurrency and Execution Rate of Workflow Events.

Community Posts

A Look at Pipedream
A Look at Pipedream
I'm going to build a workflow that will search Twitter every hour for a keyword. It will take the results, format them nicely, and then email it.
Building a Google Sheets Twitter Bot with Pipedream
Building a Google Sheets Twitter Bot with Pipedream
This is something that's been kicking around my head for a week or so and today I thought I'd try it. It ended up taking about 20 minutes total and 10 lines of code, of which 5 are a function I copied and pasted. While what I built is kind of trivial, I'm blown away by how much was done by built-in functions with Pipedream and how little work I had to do myself. In fact, most of my time was spent in setting stuff up outside of Pipedream itself. Alright, so what did I build?
Building a Twitter Bot in Pipedream
Building a Twitter Bot in Pipedream
I did this by parsing information from the GI Joe wikipedia site and implementing it on Pipedream's platform. I'm going to share how I built it, but be aware that roughly 95% of the work was involved in getting my random character. The aspects that pertain to Pipedream were incredibly simple - which is what you want in a platform.
Using State in Pipedream Workflows
Using State in Pipedream Workflows
I did this by parsing information from the GI Joe wikipedia site and implementing it on Pipedream's platform. I'm going to share how I built it, but be aware that roughly 95% of the work was involved in getting my random character. The aspects that pertain to Pipedream were incredibly simple - which is what you want in a platform.
Building a Twitter Scheduling System with Pipedream and Google Sheets
Building a Twitter Scheduling System with Pipedream and Google Sheets
A few months ago, I blogged about how I used Pipedream and Google Sheets to create a Twitter bot. The idea was simple - read a sheet - select a random row - and use that as the source of a new Tweet. I was thinking about this recently and how useful Google Sheets can be as a "light weight CMS" and figured out another interesting use case - Twitter scheduling.
A demo of using the Twitter API, via Pipedream, to render the images from a Twitter account.