Google Search with Zenserp API on New Download Counts from npm API

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New Download Counts from the npm API

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Google Search with the Zenserp API

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Getting Started#

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

Select this integration
Configure the New Download Counts trigger
1. Connect your npm account
2. Configure timer
3. Select a Period
4. Optional- Configure Package
Configure the Google Search action
1. Connect your Zenserp account
2. Configure Search Query
3. Optional- Select a Search Engine
4. Optional- Select a Country
5. Optional- Select a Language
6. Optional- Configure Number of Results
7. Optional- Configure Start
8. Optional- Select a Device
9. Optional- Select a Timeframe
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 Download Counts on npm

Description:Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).

Version:0.1.0

Key:npm-download-counts

View on GitHub

Trigger Code#

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

export default {
  key: "npm-download-counts",
  name: "New Download Counts",
  description: "Emit new event with the latest count of downloads for an npm package. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md).",
  version: "0.1.0",
  type: "source",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      description: "One day interval time is recommended because NPM only update metrics once a day. [See the documentation](https://github.com/npm/registry/blob/main/docs/download-counts.md#data-source).",
      default: {
        intervalSeconds: 60 * 60 * 24,
      },
    },
    period: {
      type: "string",
      label: "Period",
      description: "Select last-day, last-week or last-month.",
      optional: false,
      default: "last-day",
      options: [
        "last-day",
        "last-week",
        "last-month",
      ],
    },
    packageName: {
      type: "string",
      label: "Package",
      description: "Enter an npm package name. Leave blank for all",
      optional: true,
    },
  },
  methods: {
    getDownloadCounts({
      period, packageName, ...args
    } = {}) {
      const basePath = `/downloads/point/${encodeURIComponent(period)}`;
      return this.app.makeRequest({
        path: packageName
          ? `${basePath}/${encodeURIComponent(packageName)}`
          : basePath,
        ...args,
      });
    },
  },
  async run({ timestamp: ts }) {
    const {
      getDownloadCounts,
      period,
      packageName,
    } = this;

    const response = await getDownloadCounts({
      period,
      packageName,
    });

    this.$emit(response, {
      id: ts,
      summary: `New Download Count ${response.downloads}`,
      ts,
    });
  },
};

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
npm	`app`	`app`	This component uses the npm app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`	One day interval time is recommended because NPM only update metrics once a day. See the documentation
Period	`period`	`string`	Select a value from the drop down menu:`last-daylast-weeklast-month`
Package	`packageName`	`string`	Enter an npm package name. Leave blank for all

Trigger Authentication#

The npm API does not require authentication.

About npm#

Node package manager

Action#

Google Search on Zenserp

Description:Perform a Google search using the Zenserp API. [See the documentation](https://app.zenserp.com/documentation#search)

Version:0.0.1

Key:zenserp-google-search

View on GitHub

Zenserp Overview#

The Zenserp API enables you to automate search engine queries, parsing SERPs (Search Engine Results Pages) to extract valuable data such as search results, location-based results, and even Google image searches. Within Pipedream's platform, you can harness this API to create workflows that react to various triggers, like webhooks or schedules, to perform automated searches and process the resulting data. This can be powerful for SEO analysis, market research, and content monitoring. Pipedream's serverless architecture makes it seamless to integrate Zenserp with other apps to augment your workflows.

Action Code#

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

export default {
  key: "zenserp-google-search",
  name: "Google Search",
  description: "Perform a Google search using the Zenserp API. [See the documentation](https://app.zenserp.com/documentation#search)",
  version: "0.0.1",
  type: "action",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  props: {
    zenserp,
    q: {
      propDefinition: [
        zenserp,
        "q",
      ],
    },
    searchEngine: {
      propDefinition: [
        zenserp,
        "searchEngine",
      ],
    },
    country: {
      propDefinition: [
        zenserp,
        "country",
      ],
    },
    language: {
      propDefinition: [
        zenserp,
        "language",
      ],
    },
    num: {
      propDefinition: [
        zenserp,
        "num",
      ],
    },
    start: {
      propDefinition: [
        zenserp,
        "start",
      ],
    },
    device: {
      propDefinition: [
        zenserp,
        "device",
      ],
    },
    timeframe: {
      propDefinition: [
        zenserp,
        "timeframe",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.zenserp.search({
      $,
      params: {
        q: this.q,
        search_engine: this.searchEngine,
        gl: this.country,
        lr: this.language,
        num: this.num,
        start: this.start,
        device: this.device,
        timeframe: this.timeframe,
      },
    });
    $.export("$summary", `Successfully searched "${this.q}"`);
    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
Zenserp	`zenserp`	`app`	This component uses the Zenserp app.
Search Query	`q`	`string`	The search query you want to perform
Search Engine	`searchEngine`	`string`	Select a value from the drop down menu.
Country	`country`	`string`	Select a value from the drop down menu.
Language	`language`	`string`	Select a value from the drop down menu.
Number of Results	`num`	`integer`	The number of results you want to return
Start	`start`	`integer`	The offset for the search results - if you use num=100 and want the second page, use start=100. start=0 (default) - first page of results
Device	`device`	`string`	Select a value from the drop down menu:`desktopmobile`
Timeframe	`timeframe`	`string`	Select a value from the drop down menu:`{ "value": "now 1-H", "label": "Past hour" }{ "value": "now 4-H", "label": "Past 4 hours" }{ "value": "now 1-d", "label": "Past day" }{ "value": "now 7-d", "label": "Past 7 days" }{ "value": "today 1-m", "label": "Past 30 days" }{ "value": "today 3-m", "label": "Past 90 days" }{ "value": "today 12-m", "label": "Past 12 months" }{ "value": "today 5-y", "label": "Past 5 years" }`