S3 - Stream file to S3 from URL with AWS API on New or Modified Records in View from Airtable API

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New or Modified Records in View from the Airtable API

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S3 - Stream file to S3 from URL with the AWS API

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Getting Started#

This integration creates a workflow with a Airtable trigger and AWS action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New or Modified Records in View trigger
1. Connect your Airtable account
2. Configure timer
3. Select a Base
4. Select a Table
5. Select a View
6. Optional- Configure Return Fields By Field ID
Configure the S3 - Stream file to S3 from URL action
1. Connect your AWS account
2. Select a AWS Region
3. Select a S3 Bucket Name
4. Configure File URL
5. Configure S3 Filename Key
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New or Modified Records in View on Airtable

Description:Emit new event for each new or modified record in a view

Version:0.0.6

Key:airtable_oauth-new-or-modified-records-in-view

View on GitHub

Airtable Overview#

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.

Trigger Code#

import base from "../common/common.mjs";
import moment from "moment";

export default {
  ...base,
  name: "New or Modified Records in View",
  description: "Emit new event for each new or modified record in a view",
  key: "airtable_oauth-new-or-modified-records-in-view",
  version: "0.0.6",
  type: "source",
  props: {
    ...base.props,
    tableId: {
      propDefinition: [
        base.props.airtable,
        "tableId",
        ({ baseId }) => ({
          baseId,
        }),
      ],
      description: "The table ID to watch for changes.",
    },
    viewId: {
      propDefinition: [
        base.props.airtable,
        "viewId",
        ({
          baseId, tableId,
        }) => ({
          baseId,
          tableId,
        }),
      ],
      description: "The view ID to watch for changes.",
    },
    returnFieldsByFieldId: {
      propDefinition: [
        base.props.airtable,
        "returnFieldsByFieldId",
      ],
    },
  },
  async run(event) {
    const {
      baseId,
      tableId,
      viewId,
    } = this;

    const lastTimestamp = this._getLastTimestamp();
    const params = {
      view: viewId,
      filterByFormula: `LAST_MODIFIED_TIME() > "${lastTimestamp}"`,
      returnFieldsByFieldId: this.returnFieldsByFieldId || false,
    };

    const records = await this.airtable.listRecords({
      baseId,
      tableId,
      params,
    });

    if (!records.length) {
      console.log("No new or modified records.");
      return;
    }

    const metadata = {
      baseId,
      tableId,
      viewId,
    };

    let newRecords = 0, modifiedRecords = 0;
    for (const record of records) {
      if (!lastTimestamp || moment(record.createdTime) > moment(lastTimestamp)) {
        record.type = "new_record";
        newRecords++;
      } else {
        record.type = "record_modified";
        modifiedRecords++;
      }

      record.metadata = metadata;

      this.$emit(record, {
        summary: `${record.type}: ${JSON.stringify(record.fields)}`,
        id: record.id,
      });
    }
    console.log(`Emitted ${newRecords} new records(s) and ${modifiedRecords} modified record(s).`);

    // We keep track of the timestamp of the current invocation
    this.updateLastTimestamp(event);
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
Airtable	`airtable`	`app`	This component uses the Airtable app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Base	`baseId`	`string`	Select a value from the drop down menu.
Table	`tableId`	`string`	Select a value from the drop down menu.
View	`viewId`	`string`	Select a value from the drop down menu.
Return Fields By Field ID	`returnFieldsByFieldId`	`boolean`	An optional boolean value that lets you return field objects where the key is the field id. This defaults to `false`, which returns field objects where the key is the field name.

Trigger Authentication#

Airtable uses OAuth authentication. When you connect your Airtable account, Pipedream will open a popup window where you can sign into Airtable and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Airtable API.

Pipedream requests the following authorization scopes when you connect your account:

data.records:readdata.records:writedata.recordComments:readdata.recordComments:writeschema.bases:readschema.bases:writewebhook:manageuser.email:read

About Airtable#

Airtable is a low-code platform to build next-gen apps. Move beyond rigid tools, operationalize your critical data, and reimagine workflows with AI.

Action#

S3 - Stream file to S3 from URL on AWS

Description:Accepts a file URL, and streams the file to the provided S3 bucket/key. [See the docs](https://docs.aws.amazon.com/AmazonS3/latest/userguide/upload-objects.html)

Version:0.4.3

Key:aws-s3-stream-file

View on GitHub

AWS Overview#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Action Code#

import fs from "fs";
import common from "../../common/common-s3.mjs";
import { toSingleLineString } from "../../common/utils.mjs";

export default {
  ...common,
  key: "aws-s3-stream-file",
  name: "S3 - Stream file to S3 from URL",
  description: toSingleLineString(`
    Accepts a file URL, and streams the file to the provided S3 bucket/key.
    [See the docs](https://docs.aws.amazon.com/AmazonS3/latest/userguide/upload-objects.html)
  `),
  version: "0.4.3",
  type: "action",
  props: {
    aws: common.props.aws,
    region: common.props.region,
    bucket: common.props.bucket,
    fileUrl: common.props.fileUrl,
    filename: common.props.key,
  },
  methods: {
    ...common.methods,
    async getStreamAndContentLength(fileResponse, absoluteFilePath) {
      if (fileResponse.headers["content-length"]) {
        return {
          stream: fileResponse.data,
          contentLength: fileResponse.headers["content-length"],
        };
      }
      const fileName = absoluteFilePath.split("/").pop();
      const tempLocalPath = `/tmp/${fileName}`;
      await (new Promise((resolve) => {
        const writeStream = fs.createWriteStream(tempLocalPath);
        fileResponse.data.pipe(writeStream);
        writeStream.on("finish", resolve);
      }));
      const { size } = fs.statSync(tempLocalPath);
      return {
        stream: fs.createReadStream(tempLocalPath),
        contentLength: size,
      };
    },
  },
  async run({ $ }) {
    const fileResponse = await this.streamFile(this.fileUrl);
    const filePath = this.filename.replace(/^\/+/, "");
    const {
      stream,
      contentLength,
    } = await this.getStreamAndContentLength(fileResponse, filePath);
    const response = await this.uploadFile({
      Bucket: this.bucket,
      Key: filePath,
      Body: stream,
      ContentType: fileResponse.headers["content-type"],
      ContentLength: contentLength,
    });
    $.export("$summary", `Streaming file ${this.filename} to ${this.bucket}`);
    return response;
  },
};

Action Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

Label	Prop	Type	Description
AWS	`aws`	`app`	This component uses the AWS app.
AWS Region	`region`	`string`	Select a value from the drop down menu.
S3 Bucket Name	`bucket`	`string`	Select a value from the drop down menu.
File URL	`fileUrl`	`string`	The absolute URL of the file you'd like to upload
S3 Filename Key	`filename`	`string`	The name of the S3 key with extension you'd like to upload this file to

Action Authentication#

AWS uses API keys for authentication. When you connect your AWS account, Pipedream securely stores the keys so you can easily authenticate to AWS APIs in both code and no-code steps.

Follow the AWS Instructions for creating an IAM user with an associated access and secret key.

As a best practice, attach the minimum set of IAM permissions necessary to perform the specific task in Pipedream. If your workflow only needs to perform a single API call, you should create a user and associate an IAM group / policy with permission to do only that task. You can create as many linked AWS accounts in Pipedream as you'd like.

Enter your access and secret key below.

About AWS#

Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.

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Pipedream makes it easy to connect APIs for AWS, Airtable and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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