Integrate the Airtable API with the BigML API

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

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Popular Ways to Connect Airtable with BigML#

Create Batch Prediction with BigML API on New Field from Airtable API

Airtable + BigML

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Create Batch Prediction with BigML API on New Modified or Deleted Records (Instant) from Airtable (OAuth) API

Airtable + BigML

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Create Batch Prediction with BigML API on New or Modified Field from Airtable (OAuth) API

Airtable + BigML

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Create Batch Prediction with BigML API on New or Modified Records from Airtable (OAuth) API

Airtable + BigML

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Create Batch Prediction with BigML API on New or Modified Records in View from Airtable (OAuth) API

Airtable + BigML

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Popular Airtable and BigML Triggers#

New Model Created from the BigML API

Emit new event for every created model. See docs here.

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New Prediction Made from the BigML API

Emit new event for every made prediction. See docs here.

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New Field from the Airtable API

Emit new event for each new field created in a table

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New Modified or Deleted Records (Instant) from the Airtable API

Emit new event each time a record is added, updated, or deleted in an Airtable table. See the documentation

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New or Modified Field from the Airtable API

Emit new event for each new or modified field in a table

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Popular Airtable and BigML Actions#

Create Comment with the Airtable API

Create a new comment on a record. See the documentation

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Create Batch Prediction with the BigML API

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

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Create Field with the Airtable API

Create a new field in a table. See the documentation

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Create Model with the BigML API

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

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Create Multiple Records with the Airtable API

Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs. See the documentation

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Overview of Airtable#

Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.

Connect Airtable#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    airtable_oauth: {
      type: "app",
      app: "airtable_oauth",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.airtable.com/v0/meta/whoami`,
      headers: {
        Authorization: `Bearer ${this.airtable_oauth.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of BigML#

The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.

Connect BigML#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigml: {
      type: "app",
      app: "bigml",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://bigml.io/andromeda/source`,
      params: {
        username: `${this.bigml.$auth.username}`,
        api_key: `${this.bigml.$auth.api_key}`,
      },
    })
  },
})

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