← Slack + People Data Labs integrations

Enrich a person with People Data Labs API on New Message In Channels (Instant) from Slack API

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New Message In Channels (Instant) from the Slack 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 Slack trigger and People Data Labs 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 Message In Channels (Instant) trigger
    1. Connect your Slack account
    2. Optional- Select one or more Channels
    3. Configure slackApphook
    4. Optional- Configure Resolve Names
    5. Optional- Configure Ignore Bots
    6. Optional- Configure Ignore replies in threads
  3. 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
  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 when a new message is posted to one or more channels
Version:1.0.14
Key:slack-new-message-in-channels

Slack Overview

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. When you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions, or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

  • Automate posting updates to your team channels
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • And much more!

Trigger Code

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

export default {
  ...common,
  key: "slack-new-message-in-channels",
  name: "New Message In Channels (Instant)",
  version: "1.0.14",
  description: "Emit new event when a new message is posted to one or more channels",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    conversations: {
      propDefinition: [
        common.props.slack,
        "conversation",
      ],
      type: "string[]",
      label: "Channels",
      description: "Select one or more channels to monitor for new messages.",
      optional: true,
    },
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return this.conversations || [
          "message",
        ];
      },
    },
    resolveNames: {
      propDefinition: [
        common.props.slack,
        "resolveNames",
      ],
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    ignoreThreads: {
      type: "boolean",
      label: "Ignore replies in threads",
      description: "Ignore replies to messages in threads",
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New message in channel";
    },
    async processEvent(event) {
      if (event.type !== "message") {
        console.log(`Ignoring event with unexpected type "${event.type}"`);
        return;
      }
      if (event.subtype && !constants.ALLOWED_MESSAGE_IN_CHANNEL_SUBTYPES.includes(event.subtype)) {
        // This source is designed to just emit an event for each new message received.
        // Due to inconsistencies with the shape of message_changed and message_deleted
        // events, we are ignoring them for now. If you want to handle these types of
        // events, feel free to change this code!!
        console.log("Ignoring message with subtype.");
        return;
      }
      if ((this.ignoreBot) && (event.subtype == "bot_message" || event.bot_id)) {
        return;
      }
      console.log(event.s);
      // There is no thread message type only the thread_ts field
      // indicates if the message is part of a thread in the event.
      if (this.ignoreThreads && event.thread_ts) {
        console.log("Ignoring reply in thread");
        return;
      }
      if (this.resolveNames) {
        if (event.user) {
          event.user_id = event.user;
          event.user = await this.getUserName(event.user);
        } else if (event.bot_id) {
          event.bot = await this.getBotName(event.bot_id);
        }
        event.channel_id = event.channel;
        event.channel = await this.getConversationName(event.channel);
        if (event.team) {
          event.team_id = event.team;
          event.team = await this.getTeamName(event.team);
        }
      }
      return event;
    },
  },
  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.
LabelPropTypeDescription
SlackslackappThis component uses the Slack app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Channelsconversationsstring[]Select a value from the drop down menu.
slackApphook$.interface.apphook
Resolve NamesresolveNamesboolean

Instead of returning channel, team, and user as IDs, return their human-readable names.

Ignore BotsignoreBotboolean

Ignore messages from bots

Ignore replies in threadsignoreThreadsboolean

Ignore replies to messages in threads

Trigger Authentication

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

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

bookmarks:writecalls:readcalls:writechannels:historychannels:readchannels:writednd:readdnd:writeemoji:readfiles:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writepins:readpins:writereactions:readreactions:writereminders:readreminders:writeremote_files:readremote_files:sharestars:readstars:writeteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:usercommandsfiles:write:userusers.profile:writeusers.profile:readsearch:read

About Slack

Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.

Action

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

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.

LabelPropTypeDescription
People Data LabsappappThis component uses the People Data Labs app.
Namenamestring

The person's full name, at least first and last.

First namefirstNamestring

The person's first name.

Last namelastNamestring

The person's last name.

Middle namemiddleNamestring

The person's middle name.

Locationlocationstring

The location in which a person lives. Can be anything from a street address to a country name.

Street addressstreetAddressstring

A street address in which the person lives.

Localitylocalitystring

A locality in which the person lives.

Regionregionstring

A state or region in which the person lives.

Countrycountrystring

A country in which the person lives.

Postal codepostalCodestring

The postal code in which the person lives, must be used with either a country or a region.

Companycompanystring

A name, website, or social url of a company where the person has worked.

Schoolschoolstring

A name, website, or social url of a university or college the person has attended.

Phonephonestring

A phone number the person has used.

Emailemailstring

An email the person has used.

Email hashemailHashstring

A sha256 email hash.

Profileprofilestring

A social profile the person has used. List of available social profiles.

Linkedin IDlidinteger

A LinkedIn numerical ID.

Birth datebirthDatestring

The person's birth date. Either the year, or a full birth date.

Requiredrequiredstring

Parameter specifying the fields and data points a response must have to return a 200. See docs.

Prettyprettyboolean

Whether the output should have human-readable indentation.

Min LikelihoodminLikelihoodinteger

The minimum likelihood score a response must have to return a 200.

Action Authentication

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

Signup for an API key. Upon sign in, API Key, along with a few example API calls appear in the dashboard.

About People Data Labs

The source of the truth for person data

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