Integrate the Browse AI API with the Data Stores API

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

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Popular Ways to Connect Browse AI with Data Stores#

Add or update a single record with Data Stores API on Task Completed (Instant) from Browse AI API

Browse AI + Data Stores

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Add or update a single record with Data Stores API on Task Finished With Error (Instant) from Browse AI API

Browse AI + Data Stores

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Add or update multiple records with Data Stores API on Task Completed (Instant) from Browse AI API

Browse AI + Data Stores

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Add or update multiple records with Data Stores API on Task Finished With Error (Instant) from Browse AI API

Browse AI + Data Stores

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Append to record with Data Stores API on Task Completed (Instant) from Browse AI API

Browse AI + Data Stores

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Popular Browse AI and Data Stores Triggers#

Task Completed (Instant) from the Browse AI API

Emits an event when a Browse AI task is completed. See the documentation

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Task Finished With Error (Instant) from the Browse AI API

Emit new event when a task finishes with an error. See the documentation

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Popular Browse AI and Data Stores Actions#

Execute Task with the Browse AI API

Runs a robot on-demand with custom input parameters. 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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Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

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Append to record with the Data Stores API

Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.

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Check for existence of key with the Data Stores API

Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.

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Overview of Browse AI#

The Browse AI API enables the automation of data extraction from websites, turning web pages into organized data. It's built for non-coders and coders alike, allowing for custom web scraping and monitoring tasks. Within Pipedream, you can harness Browse AI to create intricate workflows that trigger actions in other apps based on the data you extract. Think of automated competitive analysis, price tracking, or content changes detection, all streamlined through Pipedream's serverless platform.

Connect Browse AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    browse_ai: {
      type: "app",
      app: "browse_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.browse.ai/v2/robots`,
      headers: {
        Authorization: `Bearer ${this.browse_ai.$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")
  },
})

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