Google Search with Zenserp API on New Submission from Typeform API

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Trigger workflow on

New Submission from the Typeform API

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Google Search with the Zenserp API

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Getting Started#

This integration creates a workflow with a Typeform 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 Submission trigger
1. Connect your Typeform account
2. Select a Form
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 Submission on Typeform

Description:Emit new submission

Version:0.0.8

Key:typeform-new-submission

View on GitHub

Typeform Overview#

The Typeform API furnishes you with the means to create dynamic forms and collect user responses in real-time. By leveraging this API within Pipedream's serverless platform, you can automate workflows to process this data, integrate seamlessly with other services, and react to form submissions instantaneously. This empowers you to craft tailored responses, synchronize with databases, trigger email campaigns, or even manage event registrations without manual intervention.

Trigger Code#

import { createHmac } from "crypto";
import sampleEmit from "./test-event.mjs";
import { uuid } from "uuidv4";
import common from "../common/common.mjs";
import constants from "../../constants.mjs";
import utils from "../common/utils.mjs";

const { typeform } = common.props;
const { parseIsoDate } = utils;

export default {
  ...common,
  key: "typeform-new-submission",
  name: "New Submission",
  version: "0.0.8",
  type: "source",
  description: "Emit new submission",
  props: {
    ...common.props,
    http: {
      type: "$.interface.http",
      customResponse: true,
    },
    db: "$.service.db",
    formId: {
      propDefinition: [
        typeform,
        "formId",
      ],
    },
  },
  methods: {
    ...common.methods,
    generateSecret() {
      return "" + Math.random();
    },
  },
  hooks: {
    ...common.hooks,
    async activate() {
      const secret = this.generateSecret();
      this._setSecret(secret);

      let tag = this._getTag();
      if (!tag) {
        tag = uuid();
        this._setTag(tag);
      }

      return await this.typeform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        tag,
        secret,
      });
    },
    async deactivate() {
      const tag = this._getTag();

      return await this.typeform.deleteHook({
        formId: this.formId,
        tag,
      });
    },
  },
  async run(event) {
    const {
      body,
      headers,
    } = event;

    const { [constants.TYPEFORM_SIGNATURE]: typeformSignature } = headers;

    if (typeformSignature) {
      const secret = this._getSecret();

      const hmac =
        createHmac(constants.ALGORITHM, secret)
          .update(body)
          .digest(constants.ENCODING);

      const signature = `${constants.ALGORITHM}=${hmac}`;

      if (typeformSignature !== signature) {
        throw new Error("signature mismatch");
      }
    }

    let formResponseString = "";
    const data = Object.assign({}, body.form_response);
    data.form_response_parsed = {};

    for (let i = 0; i < body.form_response.answers.length; i++) {
      const field = body.form_response.definition.fields[i];
      const answer = body.form_response.answers[i];

      let parsedAnswer;
      let value = answer[answer.type];

      if (value.label) {
        parsedAnswer = value.label;

      } else if (value.labels) {
        parsedAnswer = value.labels.join();

      } else if (value.choice) {
        parsedAnswer = value.choice;

      } else if (value.choices) {
        parsedAnswer = value.choices.join();

      } else {
        parsedAnswer = value;
      }

      data.form_response_parsed[field.title] = parsedAnswer;
      formResponseString += `### ${field.title}\n${parsedAnswer}\n`;
    }

    data.form_response_string = formResponseString;
    data.raw_webhook_event = body;

    if (data.landed_at) {
      data.landed_at = parseIsoDate(data.landed_at);
    }

    if (data.submitted_at) {
      data.submitted_at = parseIsoDate(data.submitted_at);
    }

    data.form_title = body.form_response.definition.title;
    delete data.answers;
    delete data.definition;

    this.$emit(data, {
      summary: JSON.stringify(data),
      id: data.token,
    });

    this.http.respond({
      status: 200,
    });
  },
  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
Typeform	`typeform`	`app`	This component uses the Typeform app.
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.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

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

offlineaccounts:readforms:writeforms:readimages:writeimages:readthemes:writethemes:readresponses:readresponses:writewebhooks:readwebhooks:writeworkspaces:readworkspaces:write

About Typeform#

Typeform lets you build no-code forms, quizzes, and surveys - and get more responses.

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" }`