AI Data Extraction with Scrapfly API on New Upcoming Event Alert from Google Calendar API

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New Upcoming Event Alert from the Google Calendar API

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Getting Started#

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

Select this integration
Configure the New Upcoming Event Alert trigger
1. Connect your Google Calendar account
2. Connect your Google Calendar account
3. Optional- Select a Calendar ID
4. Optional- Select one or more Event Types
5. Configure Minutes Before
Configure the AI Data Extraction action
1. Connect your Scrapfly account
2. Configure File Path or URL
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
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 Upcoming Event Alert on Google Calendar

Description:Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. [See the documentation](https://pipedream.com/docs/examples/waiting-to-execute-next-step-of-workflow/#step-1-create-a-task-scheduler-event-source) for more information and instructions for connecting your Pipedream account.

Version:0.0.10

Key:google_calendar-upcoming-event-alert

View on GitHub

Google Calendar Overview#

The Google Calendar API lets you dip into the powerhouse of scheduling, allowing for the reading, creation, and manipulation of events and calendars directly from your applications. Through Pipedream, you can seamlessly integrate Google Calendar into a myriad of workflows, automating event management, syncing with other services, setting up custom reminders, or even collating data for reporting. The key here is to streamline your calendar-related processes, ensuring that your time management is as efficient and automated as possible.

Trigger Code#

import taskScheduler from "../../../pipedream/sources/new-scheduled-tasks/new-scheduled-tasks.mjs";
import googleCalendar from "../../google_calendar.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "google_calendar-upcoming-event-alert",
  name: "New Upcoming Event Alert",
  description: `Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler.
    [See the documentation](https://pipedream.com/docs/examples/waiting-to-execute-next-step-of-workflow/#step-1-create-a-task-scheduler-event-source) 
    for more information and instructions for connecting your Pipedream account.`,
  version: "0.0.10",
  type: "source",
  props: {
    pipedream: taskScheduler.props.pipedream,
    googleCalendar,
    db: "$.service.db",
    http: "$.interface.http",
    calendarId: {
      propDefinition: [
        googleCalendar,
        "calendarId",
      ],
    },
    eventTypes: {
      propDefinition: [
        googleCalendar,
        "eventTypes",
      ],
    },
    time: {
      type: "integer",
      label: "Minutes Before",
      description: "Number of minutes to trigger before the start of the calendar event.",
      min: 0,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.time > 0) {
      props.timer = {
        type: "$.interface.timer",
        description: "Poll the API to schedule alerts for any newly created events",
        default: {
          intervalSeconds: 60 * this.time,
        },
      };
    }
    return props;
  },
  hooks: {
    async deactivate() {
      const ids = this._getScheduledEventIds();
      if (!ids?.length) {
        return;
      }
      for (const id of ids) {
        if (await this.deleteEvent({
          body: {
            id,
          },
        })) {
          console.log("Cancelled scheduled event");
        }
      }
      this._setScheduledEventIds();
    },
  },
  methods: {
    ...taskScheduler.methods,
    _getScheduledEventIds() {
      return this.db.get("scheduledEventIds");
    },
    _setScheduledEventIds(ids) {
      this.db.set("scheduledEventIds", ids);
    },
    _getScheduledCalendarEventIds() {
      return this.db.get("scheduledCalendarEventIds");
    },
    _setScheduledCalendarEventIds(ids) {
      this.db.set("scheduledCalendarEventIds", ids);
    },
    _hasDeployed() {
      const result = this.db.get("hasDeployed");
      this.db.set("hasDeployed", true);
      return result;
    },
    subtractMinutes(date, minutes) {
      return date.getTime() - minutes * 60000;
    },
    async getCalendarEvents() {
      const calendarEvents = [];
      const params = {
        returnOnlyData: false,
        calendarId: this.calendarId,
        eventTypes: this.eventTypes,
      };
      do {
        const {
          data: {
            items, nextPageToken,
          },
        } = await this.googleCalendar.listEvents(params);
        if (items?.length) {
          calendarEvents.push(...items);
        }
        params.pageToken = nextPageToken;
      } while (params.pageToken);
      return calendarEvents;
    },
  },
  async run(event) {
    // self subscribe only on the first time
    if (!this._hasDeployed()) {
      await this.selfSubscribe();
    }

    const scheduledEventIds = this._getScheduledEventIds() || [];

    // incoming scheduled event
    if (event.$channel === this.selfChannel()) {
      const remainingScheduledEventIds = scheduledEventIds.filter((id) => id !== event["$id"]);
      this._setScheduledEventIds(remainingScheduledEventIds);
      this.emitEvent(event, `Upcoming ${event.summary} event`);
      return;
    }

    // schedule new events
    const scheduledCalendarEventIds = this._getScheduledCalendarEventIds() || {};
    const calendarEvents = await this.getCalendarEvents();

    for (const calendarEvent of calendarEvents) {
      const startTime = calendarEvent.start
        ? (new Date(calendarEvent.start.dateTime || calendarEvent.start.date))
        : null;
      if (!startTime
        || startTime.getTime() < Date.now()
        || scheduledCalendarEventIds[calendarEvent.id])
      {
        continue;
      }
      const later = new Date(this.subtractMinutes(startTime, this.time));

      const scheduledEventId = this.emitScheduleEvent(calendarEvent, later);
      scheduledEventIds.push(scheduledEventId);
      scheduledCalendarEventIds[calendarEvent.id] = true;
    }
    this._setScheduledEventIds(scheduledEventIds);
    this._setScheduledCalendarEventIds(scheduledCalendarEventIds);
  },
  sampleEmit,
};

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
Google Calendar	`pipedream`	`app`	This component uses the Google Calendar app.
Google Calendar	`googleCalendar`	`app`	This component uses the Google Calendar app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
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.
Calendar ID	`calendarId`	`string`	Select a value from the drop down menu.
Event Types	`eventTypes`	`string[]`	Select a value from the drop down menu:`defaultfocusTimeoutOfOfficeworkingLocation`
Minutes Before	`time`	`integer`	Number of minutes to trigger before the start of the calendar event.

Trigger Authentication#

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

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

https://www.googleapis.com/auth/calendar.eventshttps://www.googleapis.com/auth/calendar.readonlyhttps://www.googleapis.com/auth/calendar.settings.readonlyemailprofile

About Google Calendar#

With Google Calendar, you can quickly schedule meetings and events and get reminders about upcoming activities, so you always know what’s next.

Action#

AI Data Extraction on Scrapfly

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:0.1.0

Key:scrapfly-ai-data-extraction

View on GitHub

Action Code#

import { ConfigurationError } from "@pipedream/platform";
import { getFileStream } from "@pipedream/platform";
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: "0.1.0",
  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 stream = await getFileStream(this.body);
    const chunks = [];
    for await (const chunk of stream) {
      chunks.push(chunk);
    }
    const data = Buffer.concat(chunks).toString();

    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,
    });

    $.export("$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.

Label	Prop	Type	Description
Scrapfly	`scrapfly`	`app`	This component uses the Scrapfly app.
File Path or URL	`body`	`string`	The file containing the content of the page you want to extract data from. The content must be in the format specified by `Content Type`. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myFile.txt`)
Content Type	`contentType`	`string`	Select a value from the drop down menu:`application/jsonapplication/jsonldapplication/xmltext/plaintext/htmltext/markdowntext/csvapplication/xhtml+xml`
URL	`url`	`string`	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
Charset	`charset`	`string`	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 Template	`extractionTemplate`	`string`	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 Prompt	`extractionPrompt`	`string`	Instruction to extract data or ask a question on the scraped content with an LLM (Large Language Model). Must be url encoded
Extraction Model	`extractionModel`	`string`	AI Extraction to auto parse document to get structured data. E.g., `product`, `review`, `real-estate`, `article`.
Webhook Name	`webhookName`	`string`	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

More Ways to Connect Scrapfly + Google Calendar#

Other Popular Integrations#

AI Data Extraction with Scrapfly API on New Created or Updated Event (Instant) from Google Calendar API

Google Calendar + Scrapfly

AI Data Extraction with Scrapfly API on New Upcoming Event Alert from Google Calendar API

Pipedream makes it easy to connect APIs for Scrapfly, Google Calendar and 2,700+ other apps remarkably fast.

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

Developers ♥ Pipedream

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