Upload Document for Parsing with Affinda API on New Invoice from Stripe API

Pipedream makes it easy to connect APIs for Affinda, Stripe and 2,200+ other apps remarkably fast.

Trigger workflow on

New Invoice from the Stripe API

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Upload Document for Parsing with the Affinda API

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Getting Started#

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

Select this integration
Configure the New Invoice trigger
1. Connect your Stripe account
Configure the Upload Document for Parsing action
1. Connect your Affinda account
2. Select a Organization
3. Select a Workspace
4. Select a Collection
5. Configure URL
6. Optional- Configure Wait
7. Optional- Configure Identifier
8. Optional- Configure File Name
9. Optional- Configure Expiry Time
10. Optional- Configure Language
11. Optional- Configure Reject Duplicates
12. Optional- Configure Region Bias
13. Optional- Configure Low Priority
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 Invoice on Stripe

Description:Emit new event for each new invoice

Version:0.1.1

Key:stripe-new-invoice

View on GitHub

Stripe Overview#

The Stripe API is a powerful tool for managing online payments, subscriptions, and invoices. With Pipedream, you can leverage this API to automate payment processing, monitor transactions, and sync billing data with other services. Pipedream's no-code platform allows for quick integration and creation of serverless workflows that react to Stripe events in real-time. For instance, you might automatically update customer records, send personalized emails after successful payments, or escalate failed transactions to your support team.

Trigger Code#

import common from "../common/webhook-base.mjs";

export default {
  ...common,
  key: "stripe-new-invoice",
  name: "New Invoice",
  type: "source",
  version: "0.1.1",
  description: "Emit new event for each new invoice",
  methods: {
    ...common.methods,
    getEvents() {
      return [
        "invoice.created",
      ];
    },
  },
};

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
Stripe	`stripe`	`app`	This component uses the Stripe app.
N/A	`http`	`$.interface.http`	This component uses `$.interface.http` to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the `run()` method of the component.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

Trigger Authentication#

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

Stripe uses API keys to authenticate requests (more info in their docs here).

To connect Pipedream to your Stripe account,

Create a Stripe API key
Click "Create Restricted Key"
Enter the Restricted API key below.

To help ensure proper security, we recommend you create a Restricted key with scopes relevant to the specific operations you will use in Pipedream.

About Stripe#

Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes.

Action#

Upload Document for Parsing on Affinda

Description:Uploads a document for parsing. [See docs here](https://docs.affinda.com/reference/createdocument)

Version:0.0.1

Key:affinda-upload-document-from-url

View on GitHub

Affinda Overview#

The Affinda API offers a suite of powerful tools for document analysis and extraction, enabling you to automate the processing of resumes, invoices, bank statements, and other documents. By parsing detailed information from documents, Affinda can transform unstructured data into structured, actionable insights. With Pipedream, you can integrate Affinda's capabilities into serverless workflows, connecting to hundreds of apps to automate tasks like candidate screening, financial data aggregation, or content management.

Action Code#

import affinda from "../../affinda.app.mjs";

export default {
  key: "affinda-upload-document-from-url",
  name: "Upload Document for Parsing",
  description: "Uploads a document for parsing. [See docs here](https://docs.affinda.com/reference/createdocument)",
  version: "0.0.1",
  type: "action",
  props: {
    affinda,
    organization: {
      propDefinition: [
        affinda,
        "organization",
      ],
    },
    workspace: {
      propDefinition: [
        affinda,
        "workspace",
        (c) => ({
          organization: c.organization,
        }),
      ],
    },
    collection: {
      propDefinition: [
        affinda,
        "collection",
        (c) => ({
          workspace: c.workspace,
        }),
      ],
    },
    url: {
      type: "string",
      label: "URL",
      description: "URL to download the document.",
    },
    wait: {
      type: "boolean",
      label: "Wait",
      description: "If `true`, will return a response only after processing has completed. If `false`, will return an empty data object which can be polled at the GET endpoint until processing is complete. Defaults to `true`.",
      optional: true,
    },
    identifier: {
      type: "string",
      label: "Identifier",
      description: "Specify a custom identifier for the document.",
      optional: true,
    },
    fileName: {
      type: "string",
      label: "File Name",
      description: "Optional filename of the file",
      optional: true,
    },
    expiryTime: {
      type: "string",
      label: "Expiry Time",
      description: "The date/time in ISO-8601 format when the document will be automatically deleted. Defaults to no expiry.",
      optional: true,
    },
    language: {
      type: "string",
      label: "Language",
      description: "Language code in ISO 639-1 format. Must specify zh-cn or zh-tw for Chinese.",
      optional: true,
    },
    rejectDuplicates: {
      type: "boolean",
      label: "Reject Duplicates",
      description: "If `true`, parsing will fail when the uploaded document is duplicate of an existing document, no credits will be consumed. If `false`, will parse the document normally whether its a duplicate or not. If not provided, will fallback to the workspace settings.",
      optional: true,
    },
    regionBias: {
      type: "object",
      label: "Region Bias",
      description: "A JSON representation of the RegionBias object. Example: `{\"country\": \"vn\"}`",
      optional: true,
    },
    lowPriority: {
      type: "boolean",
      label: "Low Priority",
      description: "Explicitly mark this document as low priority.",
      optional: true,
    },
  },
  async run({ $ }) {
    if (typeof this.regionBias === "string") {
      this.regionBias = JSON.parse(this.regionBias);
    }

    const response = await this.affinda.uploadDocument({
      $,
      data: {
        url: this.url,
        collection: this.collection,
        workspace: this.workspace,
        wait: this.wait,
        identifier: this.identifier,
        fileName: this.fileName,
        expiryTime: this.expiryTime,
        language: this.language,
        rejectDuplicates: this.rejectDuplicates,
        regionBias: this.regionBias,
        lowPriority: this.lowPriority,
      },
    });
    $.export("$summary", "Document uploaded successfully");
    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
Affinda	`affinda`	`app`	This component uses the Affinda app.
Organization	`organization`	`string`	Select a value from the drop down menu.
Workspace	`workspace`	`string`	Select a value from the drop down menu.
Collection	`collection`	`string`	Select a value from the drop down menu.
URL	`url`	`string`	URL to download the document.
Wait	`wait`	`boolean`	If `true`, will return a response only after processing has completed. If `false`, will return an empty data object which can be polled at the GET endpoint until processing is complete. Defaults to `true`.
Identifier	`identifier`	`string`	Specify a custom identifier for the document.
File Name	`fileName`	`string`	Optional filename of the file
Expiry Time	`expiryTime`	`string`	The date/time in ISO-8601 format when the document will be automatically deleted. Defaults to no expiry.
Language	`language`	`string`	Language code in ISO 639-1 format. Must specify zh-cn or zh-tw for Chinese.
Reject Duplicates	`rejectDuplicates`	`boolean`	If `true`, parsing will fail when the uploaded document is duplicate of an existing document, no credits will be consumed. If `false`, will parse the document normally whether its a duplicate or not. If not provided, will fallback to the workspace settings.
Region Bias	`regionBias`	`object`	A JSON representation of the RegionBias object. Example: `{"country": "vn"}`
Low Priority	`lowPriority`	`boolean`	Explicitly mark this document as low priority.

Action Authentication#

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

Generate and copy your API key from Account Settings.

About Affinda#

Use AI to do your document processing, and free your team to do the real work

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Pipedream makes it easy to connect APIs for Affinda, Stripe and 2,200+ other apps remarkably fast.

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

Developers ♥ Pipedream

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