Enrich a person with People Data Labs API on New Channel Updates (Instant) from Telegram Bot API

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New Channel Updates (Instant) from the Telegram Bot API

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Enrich a person with the People Data Labs API

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Getting Started#

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

Select this integration
Configure the New Channel Updates (Instant) trigger
1. Connect your Telegram Bot account
Configure the Enrich a person action
1. Connect your People Data Labs account
2. Optional- Configure Name
3. Optional- Configure First name
4. Optional- Configure Last name
5. Optional- Configure Middle name
6. Optional- Configure Location
7. Optional- Configure Street address
8. Optional- Configure Locality
9. Optional- Configure Region
10. Optional- Configure Country
11. Optional- Configure Postal code
12. Optional- Configure Company
13. Optional- Configure School
14. Optional- Configure Phone
15. Optional- Configure Email
16. Optional- Configure Email hash
17. Optional- Configure Profile
18. Optional- Configure Linkedin ID
19. Optional- Configure Birth date
20. Optional- Configure Required
21. Optional- Configure Pretty
22. Optional- Configure Min Likelihood
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 Channel Updates (Instant) on Telegram Bot

Description:Emit new event each time a channel post is created or updated.

Version:0.1.5

Key:telegram_bot_api-channel-updates

View on GitHub

Telegram Bot Overview#

The Telegram Bot API allows you to build bots that can interact with users on the Telegram platform. Using Pipedream, you can automate messaging, handle commands, and trigger actions based on conversations or alerts. Pipedream's serverless execution model enables you to create complex workflows involving Telegram messages without managing any infrastructure. With Pipedream's integration, you can process inbound messages, send outbound notifications, and connect the Telegram Bot API with numerous other services to create powerful automation solutions.

Trigger Code#

import base from "../common/webhooks.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...base,
  key: "telegram_bot_api-channel-updates",
  name: "New Channel Updates (Instant)",
  description: "Emit new event each time a channel post is created or updated.",
  version: "0.1.5",

  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    getEventTypes() {
      return [
        "channel_post",
        "edited_channel_post",
      ];
    },
    getMeta(event, channelPost) {
      return {
        id: event.update_id,
        summary: `${channelPost.chat.title} - ${channelPost.text}`,
        ts: new Date(channelPost.edit_date ?? channelPost.date),
      };
    },
    processEvent(event) {
      const channelPost = event.edited_channel_post ?? event.channel_post;

      if (!channelPost?.chat) {
        throw new Error(`Expected event to contain a chat, but received: ${JSON.stringify(event)}`);
      }

      this.$emit(event, this.getMeta(event, channelPost));
    },
  },
  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
Telegram Bot	`telegramBotApi`	`app`	This component uses the Telegram Bot 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.

Trigger Authentication#

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

To use the Telegram Bot API, you must first create a new bot by chatting with the BotFather.

After you create your bot, copy the bot token and add it below.

About Telegram Bot#

Telegram, is a cloud-based, cross-platform, encrypted instant messaging (IM) service.

Action#

Enrich a person on People Data Labs

Description:The Person Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique individual. [See the docs here](https://docs.peopledatalabs.com/docs/reference-person-enrichment-api)

Version:0.0.4

Key:people_data_labs-enrich-person

View on GitHub

People Data Labs Overview#

The People Data Labs API provides access to a rich database of profiles, offering granular data on individuals such as employment history, education, skills, and more. Leveraging Pipedream's capabilities, you can automate personalized outreach, enrich contact lists, validate professional information, and sync data across platforms in real-time. These automations can power recruitment, sales, and networking efforts by providing up-to-date and comprehensive data points.

Action Code#

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

export default {
  key: "people_data_labs-enrich-person",
  name: "Enrich a person",
  description: "The Person Enrichment API provides a one-to-one match, retrieving up-to-date information on a unique individual. [See the docs here](https://docs.peopledatalabs.com/docs/reference-person-enrichment-api)",
  version: "0.0.4",
  type: "action",
  props: {
    app,
    name: {
      label: "Name",
      type: "string",
      description: "The person's full name, at least first and last.",
      optional: true,
    },
    firstName: {
      label: "First name",
      type: "string",
      description: "The person's first name.",
      optional: true,
    },
    lastName: {
      label: "Last name",
      type: "string",
      description: "The person's last name.",
      optional: true,
    },
    middleName: {
      label: "Middle name",
      type: "string",
      description: "The person's middle name.",
      optional: true,
    },
    location: {
      label: "Location",
      type: "string",
      description: "The location in which a person lives. Can be anything from a street address to a country name.",
      optional: true,
    },
    streetAddress: {
      label: "Street address",
      type: "string",
      description: "A street address in which the person lives.",
      optional: true,
    },
    locality: {
      label: "Locality",
      type: "string",
      description: "A locality in which the person lives.",
      optional: true,
    },
    region: {
      label: "Region",
      type: "string",
      description: "A state or region in which the person lives.",
      optional: true,
    },
    country: {
      label: "Country",
      type: "string",
      description: "A country in which the person lives.",
      optional: true,
    },
    postalCode: {
      label: "Postal code",
      type: "string",
      description: "The postal code in which the person lives, must be used with either a country or a region.",
      optional: true,
    },
    company: {
      label: "Company",
      type: "string",
      description: "A name, website, or social url of a company where the person has worked.",
      optional: true,
    },
    school: {
      label: "School",
      type: "string",
      description: "A name, website, or social url of a university or college the person has attended.",
      optional: true,
    },
    phone: {
      label: "Phone",
      type: "string",
      description: "A phone number the person has used.",
      optional: true,
    },
    email: {
      label: "Email",
      type: "string",
      description: "An email the person has used.",
      optional: true,
    },
    emailHash: {
      label: "Email hash",
      type: "string",
      description: "A sha256 email hash.",
      optional: true,
    },
    profile: {
      label: "Profile",
      type: "string",
      description: "A social profile the person has used. [List of available social profiles](https://docs.peopledatalabs.com/docs/social-networks).",
      optional: true,
    },
    lid: {
      label: "Linkedin ID",
      type: "integer",
      description: "A LinkedIn numerical ID.",
      optional: true,
    },
    birthDate: {
      label: "Birth date",
      type: "string",
      description: "The person's birth date. Either the year, or a full birth date.",
      optional: true,
    },
    required: {
      label: "Required",
      type: "string",
      description: "Parameter specifying the fields and data points a response must have to return a 200. [See docs](https://docs.peopledatalabs.com/docs/required-parameter).",
      optional: true,
    },
    pretty: {
      propDefinition: [
        app,
        "pretty",
      ],
    },
    minLikelihood: {
      propDefinition: [
        app,
        "minLikelihood",
      ],
    },
  },
  async run({ $ }) {
    const params = {
      name: this.name,
      first_name: this.firstName,
      last_name: this.lastName,
      middle_name: this.middleName,
      location: this.location,
      street_address: this.streetAddress,
      locality: this.locality,
      region: this.region,
      country: this.country,
      postal_code: this.postalCode,
      company: this.company,
      school: this.school,
      phone: this.phone,
      email: this.email,
      email_hash: this.emailHash,
      profile: this.profile,
      lid: this.lid,
      birth_date: this.birthDate,
      min_likelihood: this.minLikelihood || 0,
      required: this.required,
      pretty: this.pretty || true,
    };

    const res = await this.app.enrichPerson({
      $,
      params,
    });
    if (!res) {
      $.export("$summary", "No results found");
    } else {
      $.export("$summary", "Successfully enriched a person");
    }
    return res;
  },
};

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
People Data Labs	`app`	`app`	This component uses the People Data Labs app.
Name	`name`	`string`	The person's full name, at least first and last.
First name	`firstName`	`string`	The person's first name.
Last name	`lastName`	`string`	The person's last name.
Middle name	`middleName`	`string`	The person's middle name.
Location	`location`	`string`	The location in which a person lives. Can be anything from a street address to a country name.
Street address	`streetAddress`	`string`	A street address in which the person lives.
Locality	`locality`	`string`	A locality in which the person lives.
Region	`region`	`string`	A state or region in which the person lives.
Country	`country`	`string`	A country in which the person lives.
Postal code	`postalCode`	`string`	The postal code in which the person lives, must be used with either a country or a region.
Company	`company`	`string`	A name, website, or social url of a company where the person has worked.
School	`school`	`string`	A name, website, or social url of a university or college the person has attended.
Phone	`phone`	`string`	A phone number the person has used.
Email	`email`	`string`	An email the person has used.
Email hash	`emailHash`	`string`	A sha256 email hash.
Profile	`profile`	`string`	A social profile the person has used. List of available social profiles.
Linkedin ID	`lid`	`integer`	A LinkedIn numerical ID.
Birth date	`birthDate`	`string`	The person's birth date. Either the year, or a full birth date.
Required	`required`	`string`	Parameter specifying the fields and data points a response must have to return a 200. See docs.
Pretty	`pretty`	`boolean`	Whether the output should have human-readable indentation.
Min Likelihood	`minLikelihood`	`integer`	The minimum likelihood score a response must have to return a 200.