← Stripe + Scrapfly integrations

AI Data Extraction with Scrapfly API on New Dispute from Stripe API

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Trigger workflow on
New Dispute from the Stripe API
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AI Data Extraction with the Scrapfly API
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Getting Started

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

  1. Select this integration
  2. Configure the New Dispute trigger
    1. Connect your Stripe account
  3. Configure the AI Data Extraction action
    1. Connect your Scrapfly account
    2. Configure Body
    3. Select a Content Type
    4. Configure URL
    5. Optional- Configure Charset
    6. Optional- Configure Extraction Template
    7. Optional- Configure Extraction Prompt
    8. Optional- Configure Extraction Model
    9. Optional- Configure Webhook Name
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Emit new event for each new dispute
Version:0.1.1
Key:stripe-new-dispute

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-dispute",
  name: "New Dispute",
  type: "source",
  version: "0.1.1",
  description: "Emit new event for each new dispute",
  methods: {
    ...common.methods,
    getEvents() {
      return [
        "charge.dispute.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.
LabelPropTypeDescription
StripestripeappThis component uses the Stripe app.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
N/Adb$.service.dbThis 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,

  1. Create a Stripe API key
  2. Click "Create Restricted Key"
  3. 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

Description:Automate content extraction from any text-based source using AI, LLM, and custom parsing. [See the documentation](https://scrapfly.io/docs/extraction-api/getting-started)
Version:0.0.1
Key:scrapfly-ai-data-extraction

Action Code

import { ConfigurationError } from "@pipedream/platform";
import fs from "fs";
import { checkTmp } from "../../common/utils.mjs";
import scrapfly from "../../scrapfly.app.mjs";

export default {
  key: "scrapfly-ai-data-extraction",
  name: "AI Data Extraction",
  description: "Automate content extraction from any text-based source using AI, LLM, and custom parsing. [See the documentation](https://scrapfly.io/docs/extraction-api/getting-started)",
  version: "0.0.1",
  type: "action",
  props: {
    scrapfly,
    body: {
      propDefinition: [
        scrapfly,
        "body",
      ],
    },
    contentType: {
      propDefinition: [
        scrapfly,
        "contentType",
      ],
    },
    url: {
      propDefinition: [
        scrapfly,
        "url",
      ],
    },
    charset: {
      type: "string",
      label: "Charset",
      description: "Charset of the document pass in the body. If you are not sure, you can use the `auto` value and we will try to detect it. Bad charset can lead to bad extraction, so it's important to set it correctly. **The most common charset is `utf-8` for text document and `ascii` for binary**. The symptom of a bad charset is that the text is not correctly displayed (accent, special characters, etc).",
      default: "auto",
      optional: true,
    },
    extractionTemplate: {
      type: "string",
      label: "Extraction Template",
      description: "Define an extraction template to get structured data. Use an ephemeral template (declared on the fly on the API call) or a stored template (declared in the dashboard) by using the template name.",
      optional: true,
    },
    extractionPrompt: {
      type: "string",
      label: "Extraction Prompt",
      description: "Instruction to extract data or ask a question on the scraped content with an LLM (Large Language Model). [Must be url encoded](https://scrapfly.io/web-scraping-tools/urlencode).",
      optional: true,
    },
    extractionModel: {
      type: "string",
      label: "Extraction Model",
      description: "AI Extraction to auto parse document to get structured data. E.g., `product`, `review`, `real-estate`, `article`.",
      optional: true,
    },
    webhookName: {
      type: "string",
      label: "Webhook Name",
      description: "Queue you scrape request and redirect API response to a provided webhook endpoint. You can create a webhook endpoint from your `dashboard`, it takes the name of the webhook. Webhooks are scoped to the given project/env.",
      optional: true,
    },
  },
  async run({ $ }) {
    if (!this.extractionTemplate && !this.extractionPrompt && !this.extractionModel) {
      throw new ConfigurationError("You must provide at least **Extraction Template**, **Extraction Prompt** or **Extraction Model**");
    }
    const response = await this.scrapfly.automateContentExtraction({
      $,
      headers: {
        "content-type": this.contentType,
      },
      maxBodyLength: Infinity,
      params: {
        url: this.url,
        charset: this.charset,
        extraction_template: this.extractionTemplate,
        extraction_prompt: this.extractionPrompt,
        extraction_model: this.extractionModel,
        webhook_name: this.webhookName,
      },
      data: fs.readFileSync(checkTmp(this.body)).toString(),
    });

    $.export("$summary", "Successfully extracted content");
    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.

LabelPropTypeDescription
ScrapflyscrapflyappThis component uses the Scrapfly app.
Bodybodystring

The request body must contain the content of the page you want to extract data from. The content must be in the format specified by the content-type header or via the content_type HTTP parameter. Provide a file from /tmp. To upload a file to /tmp folder, please follow the doc here

Content TypecontentTypestringSelect a value from the drop down menu:application/jsonapplication/jsonldapplication/xmltext/plaintext/htmltext/markdowntext/csvapplication/xhtml+xml
URLurlstring

This URL is used to transform any relative URLs in the document into absolute URLs automatically. It can be either the base URL or the exact URL of the document. Must be url encoded.

Charsetcharsetstring

Charset of the document pass in the body. If you are not sure, you can use the auto value and we will try to detect it. Bad charset can lead to bad extraction, so it's important to set it correctly. The most common charset is utf-8 for text document and ascii for binary. The symptom of a bad charset is that the text is not correctly displayed (accent, special characters, etc).

Extraction TemplateextractionTemplatestring

Define an extraction template to get structured data. Use an ephemeral template (declared on the fly on the API call) or a stored template (declared in the dashboard) by using the template name.

Extraction PromptextractionPromptstring

Instruction to extract data or ask a question on the scraped content with an LLM (Large Language Model). Must be url encoded.

Extraction ModelextractionModelstring

AI Extraction to auto parse document to get structured data. E.g., product, review, real-estate, article.

Webhook NamewebhookNamestring

Queue you scrape request and redirect API response to a provided webhook endpoint. You can create a webhook endpoint from your dashboard, it takes the name of the webhook. Webhooks are scoped to the given project/env.

Action Authentication

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

About Scrapfly

Scrapfly Web Scraping API for developer

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