Search People 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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Search People 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.

Select this integration
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
Configure the Search People action
1. Connect your People Data Labs account
2. Configure Query
3. Select a Query Type
4. Optional- Configure Size
5. Optional- Configure Datasets
6. Optional- Configure Title Case
7. Optional- Configure Pretty
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 Message In Channels (Instant) on Slack

Description:Emit new event when a new message is posted to one or more channels

Version:1.0.22

Key:slack-new-message-in-channels

View on GitHub

Slack Overview#

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once 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 constants from "../common/constants.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "slack-new-message-in-channels",
  name: "New Message In Channels (Instant)",
  version: "1.0.22",
  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;
      }
      // 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.

Label	Prop	Type	Description
Slack	`slack`	`app`	This component uses the Slack app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Channels	`conversations`	`string[]`	Select a value from the drop down menu.
	`slackApphook`	`$.interface.apphook`
Resolve Names	`resolveNames`	`boolean`	Instead of returning `channel`, `team`, and `user` as IDs, return their human-readable names.
Ignore Bots	`ignoreBot`	`boolean`	Ignore messages from bots
Ignore replies in threads	`ignoreThreads`	`boolean`	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:

channels:historychannels:readchannels:writeemoji:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writereactions:readreactions:writereminders:readreminders:writestars:readteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:userfiles:write:usercommandsusers.profile:writeusers.profile: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#

Search People on People Data Labs

Description:Find specific segments of people that you need to power your projects and products. [See the docs here](https://docs.peopledatalabs.com/docs/reference-person-search-api)

Version:0.0.1

Key:people_data_labs-search-people

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 { QUERY_TYPE_OPTIONS } from "../../common/constants.mjs";
import app from "../../people_data_labs.app.mjs";

export default {
  key: "people_data_labs-search-people",
  name: "Search People",
  description: "Find specific segments of people that you need to power your projects and products. [See the docs here](https://docs.peopledatalabs.com/docs/reference-person-search-api)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    query: {
      label: "Query",
      type: "string",
      description: "The query to perform (can be an [Elasticsearch](https://docs.peopledatalabs.com/docs/input-parameters-person-search-api#query) or [SQL query](https://docs.peopledatalabs.com/docs/input-parameters-person-search-api#sql)). Click the preferred query type for the documentation.",
    },
    queryType: {
      label: "Query Type",
      type: "string",
      description: "Which type of query is being used.",
      options: QUERY_TYPE_OPTIONS,
    },
    size: {
      label: "Size",
      type: "integer",
      description: "The batch size or the maximum number of matched records to return for this query if they exist",
      default: 1,
      min: 1,
      max: 100,
      optional: true,
    },
    datasets: {
      label: "Datasets",
      type: "string[]",
      description: "Specifies which [dataset(s)](https://docs.peopledatalabs.com/docs/datasets) the API should search against.",
      optional: true,
    },
    titlecase: {
      type: "boolean",
      label: "Title Case",
      description: "By default, all text in the response data returns as lowercase. Setting to `true` will titlecase any records returned.",
      optional: true,
    },
    pretty: {
      propDefinition: [
        app,
        "pretty",
      ],
    },
  },
  async run({ $ }) {
    const {
      app, query, queryType, ...data
    } = this;
    const params = {
      [queryType]: query,
      ...data,
    };

    const res = await app.searchPeople({
      $,
      params,
    });
    $.export("$summary", res?.status === 200
      ? `Found ${res?.data?.length} records`
      : "No records found");
    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.
Query	`query`	`string`	The query to perform (can be an Elasticsearch or SQL query). Click the preferred query type for the documentation.
Query Type	`queryType`	`string`	Select a value from the drop down menu:`{ "label": "Elasticsearch query", "value": "query" }{ "label": "SQL query", "value": "sql" }`
Size	`size`	`integer`	The batch size or the maximum number of matched records to return for this query if they exist
Datasets	`datasets`	`string[]`	Specifies which dataset(s) the API should search against.
Title Case	`titlecase`	`boolean`	By default, all text in the response data returns as lowercase. Setting to `true` will titlecase any records returned.
Pretty	`pretty`	`boolean`	Whether the output should have human-readable indentation.

Search People with People Data Labs API on New Message In Channels (Instant) from Slack API

Pipedream makes it easy to connect APIs for People Data Labs, Slack and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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