Scrape Single URL with Apify API on New Submission (Instant) from Jotform API

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New Submission (Instant) from the Jotform API

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Scrape Single URL with the Apify API

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Getting Started#

This integration creates a workflow with a Jotform trigger and Apify 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 (Instant) trigger
1. Connect your Jotform account
2. Optional- Select a Team
3. Select a Form
Configure the Scrape Single URL action
1. Connect your Apify account
2. Configure URL
3. Select a Crawler Type
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 (Instant) on Jotform

Description:Emit new event when a form is submitted

Version:0.1.5

Key:jotform-new-submission

View on GitHub

Jotform Overview#

Jotform’s API is a powerhouse for automating form and survey data management. With Pipedream, harness this API to trigger workflows from new form submissions, manipulate and analyze your form data, and sync it across various platforms. Think streamlined data entry to CRMs, instant notifications for new leads or feedback, and timely data backups to cloud storage.

Trigger Code#

import jotform from "../../jotform.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "jotform-new-submission",
  name: "New Submission (Instant)",
  description: "Emit new event when a form is submitted",
  version: "0.1.5",
  type: "source",
  dedupe: "unique",
  props: {
    jotform,
    http: "$.interface.http",
    teamId: {
      propDefinition: [
        jotform,
        "teamId",
      ],
    },
    formId: {
      propDefinition: [
        jotform,
        "formId",
        (c) => ({
          teamId: c.teamId,
          excludeDeleted: true,
        }),
      ],
    },
  },
  hooks: {
    async deploy() {
      const { content: form } = await this.jotform.getForm(this.formId, this.teamId);
      const { content: submissions } = await this.jotform.getFormSubmissions({
        formId: this.formId,
        teamId: this.teamId,
        params: {
          limit: 25,
          orderby: "created_at",
        },
      });
      for (let submission of submissions.reverse()) {
        const meta = {
          id: submission.id,
          summary: form.title,
          ts: Date.now(),
        };
        this.$emit(submission, meta);
      }
    },
    async activate() {
      return (await this.jotform.createHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
    async deactivate() {
      return (await this.jotform.deleteHook({
        endpoint: this.http.endpoint,
        formId: this.formId,
        teamId: this.teamId,
      }));
    },
  },
  async run(event) {
    const { body } = event;
    let { content: submission } = await this.jotform.getFormSubmission({
      submissionId: body.submissionID,
      teamId: this.teamId,
    });

    // insert answers from the webhook event
    const rawRequest = JSON.parse(body.rawRequest);
    for (const key of Object.keys(rawRequest)) {
      const regex = /^q(\d+)_/;
      const match = key.match(regex);
      if (match && match[1]) {
        submission.answers[match[1]].answer = rawRequest[key];
      }
    }

    this.$emit(submission, {
      summary: body.formTitle || JSON.stringify(body),
      id: body.submissionID,
      ts: Date.now(),
    });
  },
  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
Jotform	`jotform`	`app`	This component uses the Jotform 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.
Team	`teamId`	`string`	Select a value from the drop down menu.
Form	`formId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

About Jotform#

Jotform enables you to create online forms, collect responses directly in your email, and create fillable PDF forms.

Action#

Scrape Single URL on Apify

Description:Executes a scraper on a specific website and returns its content as text. This action is perfect for extracting content from a single page.

Version:0.0.1

Key:apify-scrape-single-url

View on GitHub

Apify Overview#

The Apify API unleashes the power to automate web scraping, process data, and orchestrate web automation workflows. By utilizing Apify on Pipedream, you can create dynamic serverless workflows to manage tasks like extracting data from websites, running browser automation, and scheduling these jobs to run autonomously. It integrates smoothly with Pipedream's capabilities to trigger actions on various other apps, store the results, and manage complex data flow with minimal setup.

Action Code#

import apify from "../../apify.app.mjs";
import { ACTOR_ID } from "../../common/constants.mjs";

export default {
  key: "apify-scrape-single-url",
  name: "Scrape Single URL",
  description: "Executes a scraper on a specific website and returns its content as text. This action is perfect for extracting content from a single page.",
  version: "0.0.1",
  type: "action",
  props: {
    apify,
    url: {
      type: "string",
      label: "URL",
      description: "The URL of the web page to scrape.",
      optional: false,
    },
    crawlerType: {
      type: "string",
      label: "Crawler Type",
      description: "Select the crawling engine:\n- **Headless web browser** - Useful for modern websites with anti-scraping protections and JavaScript rendering. It recognizes common blocking patterns like CAPTCHAs and automatically retries blocked requests through new sessions. However, running web browsers is more expensive as it requires more computing resources and is slower. It is recommended to use at least 8 GB of RAM.\n- **Stealthy web browser** (default) - Another headless web browser with anti-blocking measures enabled. Try this if you encounter bot protection while scraping. For best performance, use with Apify Proxy residential IPs. \n- **Raw HTTP client** - High-performance crawling mode that uses raw HTTP requests to fetch the pages. It is faster and cheaper, but it might not work on all websites.",
      options: [
        {
          label: "Headless browser (stealthy Firefox+Playwright) - Very reliable, best in avoiding blocking, but might be slow",
          value: "playwright:firefox",
        },
        {
          label: "Headless browser (Chrome+Playwright) - Reliable, but might be slow",
          value: "playwright:chrome",
        },
        {
          label: "Raw HTTP client (Cheerio) - Extremely fast, but cannot handle dynamic content",
          value: "cheerio",
        },
      ],
    },
  },
  async run({ $ }) {
    const response = await this.apify.runActor({
      $,
      actorId: ACTOR_ID,
      data: {
        crawlerType: this.crawlerType,
        maxCrawlDepth: 0,
        maxCrawlPages: 1,
        maxResults: 1,
        startUrls: [
          {
            url: this.url,
          },
        ],
      },
    });
    $.export("$summary", `Successfully scraped content from ${this.url}`);
    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
Apify	`apify`	`app`	This component uses the Apify app.
URL	`url`	`string`	The URL of the web page to scrape.
Crawler Type	`crawlerType`	`string`	Select a value from the drop down menu:`{ "label": "Headless browser (stealthy Firefox+Playwright) - Very reliable, best in avoiding blocking, but might be slow", "value": "playwright:firefox" }{ "label": "Headless browser (Chrome+Playwright) - Reliable, but might be slow", "value": "playwright:chrome" }{ "label": "Raw HTTP client (Cheerio) - Extremely fast, but cannot handle dynamic content", "value": "cheerio" }`

Action Authentication#

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

You can find your API token on the Integrations page in the Apify console.

About Apify#

Apify is the place to find, develop, buy and run cloud programs called actors. Use actors to turn any website into an API.

More Ways to Connect Apify + Jotform#

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Popular Triggers#

New Submission (Instant) from the Jotform API

Emit new event when a form is submitted

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New Finished Actor Run (Instant) from the Apify API

Emit new event when a selected actor is run and finishes.

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New Finished Task Run (Instant) from the Apify API

Emit new event when a selected task is run and finishes.

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Popular Actions#

Get Form Submissions with the Jotform API

Gets a list of form responses See the docs here

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Get Monthly User Usage with the Jotform API

Gets number of form submissions received this month. Also, get number of SSL form submissions, payment form submissions and upload space used by user See the docs here

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Get User Submissions with the Jotform API

Gets a list of all submissions for all forms on the account See the docs here

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Run Actor with the Apify API

Performs an execution of a selected actor in Apify. See the documentation

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Scrape Single URL with the Apify API

Executes a scraper on a specific website and returns its content as text. This action is perfect for extracting content from a single page.

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