Execute Aggregation with MongoDB API on New Lead Created from Leadfeeder API

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New Lead Created from the Leadfeeder API

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Execute Aggregation with the MongoDB API

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Getting Started#

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

Select this integration
Configure the New Lead Created trigger
1. Connect your Leadfeeder account
2. Configure Polling schedule
3. Select a Account ID
Configure the Execute Aggregation action
1. Connect your MongoDB account
2. Select a Database
3. Select a Collection
4. Configure Pipeline
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 Lead Created on Leadfeeder

Description:Emit new event when a new lead is created. [See the docs](https://docs.leadfeeder.com/api/#get-leads)

Version:0.0.1

Key:leadfeeder-new-lead-created

View on GitHub

Leadfeeder Overview#

Leadfeeder is a tool that reveals the companies visiting your website and how they interact with your content. By harnessing the power of the Leadfeeder API on Pipedream, you can automate the process of capturing lead data and integrating it directly into your sales and marketing workflows. This can range from enriching CRM records to triggering custom email campaigns based on visitor behavior, enabling a more dynamic and responsive engagement with potential customers.

Trigger Code#

import common from "../common/polling.mjs";
import utils from "../../common/utils.mjs";

export default {
  ...common,
  key: "leadfeeder-new-lead-created",
  name: "New Lead Created",
  description: "Emit new event when a new lead is created. [See the docs](https://docs.leadfeeder.com/api/#get-leads)",
  type: "source",
  version: "0.0.1",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getResourceFn() {
      return this.app.getLeads;
    },
    getResourceFnArgs() {
      const lastVisitDateStr = this.getLastVisitDate();
      const currentDateStr = utils.getFormatDate();
      const daysAgoStr = utils.getFormatDate(30);
      return {
        accountId: this.accountId,
        params: {
          start_date: lastVisitDateStr || daysAgoStr,
          end_date: currentDateStr,
        },
      };
    },
    generateMeta(resource) {
      return {
        id: resource.id,
        ts: Date.parse(resource.attributes.first_visit_date) || Date.now(),
        summary: `New Lead Created ${resource.id}`,
      };
    },
  },
};

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
Leadfeeder	`app`	`app`	This component uses the Leadfeeder app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Polling schedule	`timer`	`$.interface.timer`	How often to poll the Leadfeeder API
Account ID	`accountId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

Leadfeeder API expects an API token to be included in all requests sent to the server.

You can generate your unique authentication token at Leadfeeder API settings.

About Leadfeeder#

Leadfeeder is the #1-rated app for Google Analytics and it's the best way to generate free sales leads.

Action#

Execute Aggregation on MongoDB

Description:Execute an aggregation pipeline on a MongoDB collection. [See the documentation](https://www.mongodb.com/docs/drivers/node/current/fundamentals/aggregation/)

Version:0.0.1

Key:mongodb-execute-aggregation

View on GitHub

MongoDB Overview#

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Action Code#

import app from "../../mongodb.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "mongodb-execute-aggregation",
  name: "Execute Aggregation",
  description: "Execute an aggregation pipeline on a MongoDB collection. [See the documentation](https://www.mongodb.com/docs/drivers/node/current/fundamentals/aggregation/)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    database: {
      propDefinition: [
        app,
        "database",
      ],
    },
    collectionName: {
      propDefinition: [
        app,
        "collection",
        ({ database }) => ({
          database,
        }),
      ],
    },
    pipeline: {
      type: "string[]",
      label: "Pipeline",
      description: "The aggregation pipeline to execute where each row represents a stage as a JSON string. Eg. `[ { \"$match\": { \"categories\": \"Bakery\" } }, { \"$group\": { \"_id\": \"$stars\", \"count\": { \"$sum\": 1 } } } ]`",
    },
  },
  methods: {
    async excecuteAggregation({
      database, collectionName, pipeline,
    } = {}) {
      const { app } = this;
      const client = await app.getClient();
      const collection = app.getCollection(client, database, collectionName);
      const cursor = collection.aggregate(pipeline);
      const result = await utils.iterate(cursor);
      await client.close();
      return result;
    },
  },
  async run({ $ }) {
    const {
      excecuteAggregation,
      database,
      collectionName,
      pipeline,
    } = this;

    const response = await excecuteAggregation({
      database,
      collectionName,
      pipeline: utils.parseArray(pipeline),
    });

    $.export("$summary", `Successfully executed aggregation pipeline on collection with \`${response.length}\` document(s).`);

    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
MongoDB	`app`	`app`	This component uses the MongoDB app.
Database	`database`	`string`	Select a value from the drop down menu.
Collection	`collectionName`	`string`	Select a value from the drop down menu.
Pipeline	`pipeline`	`string[]`	The aggregation pipeline to execute where each row represents a stage as a JSON string. Eg. `[ { "$match": { "categories": "Bakery" } }, { "$group": { "_id": "$stars", "count": { "$sum": 1 } } } ]`

Action Authentication#

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

Before you connect to your Mongo database from Pipedream, please make sure your database is accessible from the public internet. You may need to add a firewall rule allowing connections from 0.0.0.0/0.

Then, enter the details of your Mongo host / database below.

Execute Aggregation with MongoDB API on New Lead Created from Leadfeeder API

Pipedream makes it easy to connect APIs for MongoDB, Leadfeeder 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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