Integrate the Threads API with the Data Stores API

Setup the Threads API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate Threads and Data Stores remarkably fast. Free for developers.

Popular Threads and Data Stores Actions#

Delete a Thread with the Threads API

Delete a thread. See the Documentation

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Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

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Post a Chat Message with the Threads API

Post a message to a chat. First, make sure you add your Bot user to the chat. See the Documentation

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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

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Post a Thread with the Threads API

Post a new thread to a specific channel. See the Documentation.

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Overview of Threads#

The Threads API on Pipedream enables you to automate your team's communication in Threads.com, a platform designed to make work discussions more organized and accessible. By integrating the API with Pipedream, you can create workflows to streamline notifications, manage discussions, and sync information across multiple services without writing complex code.

Connect Threads#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    threads: {
      type: "app",
      app: "threads",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://trythreads.com/api/public/ping`,
      headers: {
        Authorization: `Bearer ${this.threads.$auth.api_key}`,
      },
    })
  },
})

Overview of Data Stores#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores#

export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})