← HTTP / Webhook + ScrapeNinja integrations

Scrape with JS Rendering with ScrapeNinja API on New Requests from HTTP / Webhook API

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New Requests from the HTTP / Webhook API
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Scrape with JS Rendering with the ScrapeNinja API
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Getting Started

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

  1. Select this integration
  2. Configure the New Requests trigger
    1. Optional- Configure Body Only
    2. Optional- Configure Response Status Code
    3. Optional- Configure Response Content-Type
    4. Optional- Configure Response Body
    5. Connect your HTTP / Webhook account
  3. Configure the Scrape with JS Rendering action
    1. Connect your ScrapeNinja account
    2. Configure URL
    3. Optional- Configure Wait For Selector
    4. Optional- Configure Post Wait Time
    5. Optional- Configure Dump Iframe
    6. Optional- Configure Wait For Selector Iframe
    7. Optional- Configure Extractor Target Iframe
    8. Optional- Configure Headers
    9. Optional- Configure Retry Number
    10. Optional- Configure Geo
    11. Optional- Configure Proxy
    12. Optional- Configure Timeout
    13. Optional- Configure Text Not Expected
    14. Optional- Configure Status Not Expected
    15. Optional- Configure Block Images
    16. Optional- Configure Block Media
    17. Optional- Configure Screenshot
    18. Optional- Configure Catch Ajax Headers URL Mask
    19. Optional- Configure Viewport Width
    20. Optional- Configure Viewport Height
    21. Optional- Configure Viewport Device Scale Factor
    22. Optional- Configure Viewport Has Touch
    23. Optional- Configure Viewport Is Mobile
    24. Optional- Configure Viewport Is Landscape
    25. Optional- Configure Extractor
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. 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

Description:Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.
Version:0.1.1
Key:http-new-requests

HTTP / Webhook Overview

Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.

An interface for configuring an HTTP request within Pipedream's workflow system. The current selection is a GET request with fields for the request URL, authorization type (set to 'None' with a note explaining "This request does not use authorization"), parameters, headers (with a count of 1, though the detail is not visible), and body. Below the main configuration area is an option to "Include Response Headers," and a button labeled "Configure to test." The overall layout suggests a user-friendly, no-code approach to setting up custom HTTP requests.

Point and click HTTP requests

Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.

A screenshot of Pipedream's HTTP Request Configuration interface with a GET request type selected. The request URL is set to 'https://api.openai.com/v1/models'. The 'Auth' tab is highlighted, indicating that authentication is required for this request. In the headers section, there are two headers configured: 'User-Agent' is set to 'pipedream/1', and 'Authorization' is set to 'Bearer {{openai_api_key}}', showing how the OpenAI account's API key is dynamically inserted into the headers to handle authentication automatically.

Here's an example workflow that uses the HTTP / Webhook action to send an authenticated API request to OpenAI.

Focus on integrating, not authenticating

This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.

This GIF depicts the process of selecting an application within Pipedream's HTTP Request Builder. A user hovers the cursor over the 'Auth' tab and clicks on a dropdown menu labeled 'Authorization Type', then scrolls through a list of applications to choose from for authorization purposes. The interface provides a streamlined and intuitive method for users to authenticate their HTTP requests by selecting the relevant app in the configuration settings.

Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.

Compatible with no code actions or Node.js and Python

The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.

Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.

An image showing the Pipedream interface where the HTTP Webhook action has returned response data as a step export. The interface highlights a structured view of the returned data with collapsible sections. We can see 'steps.custom_request1' expanded to show 'return_value' which is an object containing a 'list'. Inside the list, an item 'data' is expanded to reveal an element with an 'id' of 'whisper-1', indicating a model created by and owned by 'openai-internal'. Options to 'Copy Path' and 'Copy Value' are available for easy access to the data points.

Trigger Code

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

// Core HTTP component
export default {
  key: "http-new-requests",
  name: "New Requests",
  description: "Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.",
  version: "0.1.1",
  type: "source",
  props: {
    httpInterface: {
      type: "$.interface.http",
      customResponse: true,
    },
    emitBodyOnly: {
      type: "boolean",
      label: "Body Only",
      description: "This source emits an event representing the full HTTP request by default. Select `true` to emit the body only.",
      optional: true,
      default: false,
    },
    resStatusCode: {
      type: "string",
      label: "Response Status Code",
      description: "The status code to return in the HTTP response",
      optional: true,
      default: "200",
    },
    resContentType: {
      type: "string",
      label: "Response Content-Type",
      description: "The `Content-Type` of the body returned in the HTTP response",
      optional: true,
      default: "application/json",
    },
    resBody: {
      type: "string",
      label: "Response Body",
      description: "The body to return in the HTTP response",
      optional: true,
      default: "{ \"success\": true }",
    },
    http,
  },
  async run(event) {
    const summary = `${event.method} ${event.path}`;

    this.httpInterface.respond({
      status: this.resStatusCode,
      body: this.resBody,
      headers: {
        "content-type": this.resContentType,
      },
    });

    if (this.emitBodyOnly) {
      this.$emit(event.body, {
        summary,
      });
    } else {
      this.$emit(event, {
        summary,
      });
    }
  },
};

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.
LabelPropTypeDescription
N/AhttpInterface$.interface.httpThis 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.
Body OnlyemitBodyOnlyboolean

This source emits an event representing the full HTTP request by default. Select true to emit the body only.

Response Status CoderesStatusCodestring

The status code to return in the HTTP response

Response Content-TyperesContentTypestring

The Content-Type of the body returned in the HTTP response

Response BodyresBodystring

The body to return in the HTTP response

HTTP / WebhookhttpappThis component uses the HTTP / Webhook app.

Trigger Authentication

The HTTP / Webhook API does not require authentication.

About HTTP / Webhook

Get a unique URL where you can send HTTP or webhook requests

Action

Description:Uses the ScrapeNinja real Chrome browser engine to scrape pages that require JS rendering. [See the documentation](https://scrapeninja.net/docs/api-reference/scrape-js/)
Version:0.0.1
Key:scrapeninja-scrape-with-js-rendering

ScrapeNinja Overview

ScrapeNinja API on Pipedream allows you to craft powerful serverless workflows for web scraping without the hassle of managing proxies or browsers. It's a tool that can extract data from websites, handling JavaScript rendering and anti-bot measures with ease. By integrating ScrapeNinja with Pipedream, you can automate data collection, collate and process the scraped data, and connect it to numerous other services for further analysis, alerting, or storage.

Action Code

import { ConfigurationError } from "@pipedream/platform";
import {
  clearObj,
  parseError, parseObject,
} from "../../common/utils.mjs";
import scrapeninja from "../../scrapeninja.app.mjs";

export default {
  key: "scrapeninja-scrape-with-js-rendering",
  name: "Scrape with JS Rendering",
  description: "Uses the ScrapeNinja real Chrome browser engine to scrape pages that require JS rendering. [See the documentation](https://scrapeninja.net/docs/api-reference/scrape-js/)",
  version: "0.0.1",
  type: "action",
  props: {
    scrapeninja,
    url: {
      propDefinition: [
        scrapeninja,
        "url",
      ],
    },
    waitForSelector: {
      propDefinition: [
        scrapeninja,
        "waitForSelector",
      ],
      optional: true,
    },
    postWaitTime: {
      propDefinition: [
        scrapeninja,
        "postWaitTime",
      ],
      optional: true,
    },
    dumpIframe: {
      propDefinition: [
        scrapeninja,
        "dumpIframe",
      ],
      optional: true,
    },
    waitForSelectorIframe: {
      propDefinition: [
        scrapeninja,
        "waitForSelectorIframe",
      ],
      optional: true,
    },
    extractorTargetIframe: {
      propDefinition: [
        scrapeninja,
        "extractorTargetIframe",
      ],
      optional: true,
    },
    headers: {
      propDefinition: [
        scrapeninja,
        "headers",
      ],
      optional: true,
    },
    retryNum: {
      propDefinition: [
        scrapeninja,
        "retryNum",
      ],
      optional: true,
    },
    geo: {
      propDefinition: [
        scrapeninja,
        "geo",
      ],
      optional: true,
    },
    proxy: {
      propDefinition: [
        scrapeninja,
        "proxy",
      ],
      optional: true,
    },
    timeout: {
      propDefinition: [
        scrapeninja,
        "timeout",
      ],
      optional: true,
    },
    textNotExpected: {
      propDefinition: [
        scrapeninja,
        "textNotExpected",
      ],
      optional: true,
    },
    statusNotExpected: {
      propDefinition: [
        scrapeninja,
        "statusNotExpected",
      ],
      optional: true,
    },
    blockImages: {
      propDefinition: [
        scrapeninja,
        "blockImages",
      ],
      optional: true,
    },
    blockMedia: {
      propDefinition: [
        scrapeninja,
        "blockMedia",
      ],
      optional: true,
    },
    screenshot: {
      propDefinition: [
        scrapeninja,
        "screenshot",
      ],
      optional: true,
    },
    catchAjaxHeadersUrlMask: {
      propDefinition: [
        scrapeninja,
        "catchAjaxHeadersUrlMask",
      ],
      optional: true,
    },
    viewportWidth: {
      propDefinition: [
        scrapeninja,
        "viewportWidth",
      ],
      optional: true,
    },
    viewportHeight: {
      propDefinition: [
        scrapeninja,
        "viewportHeight",
      ],
      optional: true,
    },
    viewportDeviceScaleFactor: {
      propDefinition: [
        scrapeninja,
        "viewportDeviceScaleFactor",
      ],
      optional: true,
    },
    viewportHasTouch: {
      propDefinition: [
        scrapeninja,
        "viewportHasTouch",
      ],
      optional: true,
    },
    viewportIsMobile: {
      propDefinition: [
        scrapeninja,
        "viewportIsMobile",
      ],
      optional: true,
    },
    viewportIsLandscape: {
      propDefinition: [
        scrapeninja,
        "viewportIsLandscape",
      ],
      optional: true,
    },
    extractor: {
      propDefinition: [
        scrapeninja,
        "extractor",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    try {
      const viewport = clearObj({
        width: this.viewportWidth,
        height: this.viewportHeight,
        deviceScaleFactor: this.viewportDeviceScaleFactor,
        hasTouch: this.viewportHasTouch,
        isMobile: this.viewportIsMobile,
        isLandscape: this.viewportIsLandscape,
      });

      const data = clearObj({
        url: this.url,
        waitForSelector: this.waitForSelector,
        postWaitTime: this.postWaitTime,
        dumpIframe: this.dumpIframe,
        waitForSelectorIframe: this.waitForSelectorIframe,
        extractorTargetIframe: this.extractorTargetIframe,
        headers: parseObject(this.headers),
        retryNum: this.retryNum,
        geo: this.geo,
        proxy: this.proxy,
        timeout: this.timeout,
        textNotExpected: parseObject(this.textNotExpected),
        statusNotExpected: parseObject(this.statusNotExpected),
        blockImages: this.blockImages,
        blockMedia: this.blockMedia,
        screenshot: this.screenshot,
        catchAjaxHeadersUrlMask: this.catchAjaxHeadersUrlMask,
        extractor: this.extractor,
      });

      if (Object.entries(viewport).length) {
        data.viewport = viewport;
      }

      const response = await this.scrapeninja.scrapeJs({
        $,
        data,
      });

      $.export("$summary", `Successfully scraped ${this.url} with JS rendering`);
      return response;
    } catch ({ response: { data } }) {
      throw new ConfigurationError(parseError(data));
    }
  },
};

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.

LabelPropTypeDescription
ScrapeNinjascrapeninjaappThis component uses the ScrapeNinja app.
URLurlstring

The URL to scrape.

Wait For SelectorwaitForSelectorstring

CSS selector to wait for before considering the page loaded.

Post Wait TimepostWaitTimeinteger

Wait for specified amount of seconds after page load (from 1 to 12s). Use this only if ScrapeNinja failed to wait for required page elements automatically.

Dump IframedumpIframestring

If some particular iframe needs to be dumped, specify its name HTML value in this argument. The ScrapeNinja JS renderer will wait for CSS selector to wait for iframe DOM elements to appear inside.

Wait For Selector IframewaitForSelectorIframestring

If Dump Iframe is activated, this property allows to wait for CSS selector inside this iframe.

Extractor Target IframeextractorTargetIframeboolean

If Dump Iframe is activated, this property allows to run JS extractor function against iframe HTML instead of running it against base body. This is only useful if Dump Iframe is activated.

Headersheadersstring[]

Custom headers to send with the request. By default, regular Chrome browser headers are sent to the target URL.

Retry NumberretryNuminteger

Amount of attempts.

Geogeostring

Geo location for basic proxy pools (you can purchase premium ScrapeNinja proxies for wider country selection and higher proxy quality). Read more about ScrapeNinja proxy setup

Proxyproxystring

Premium or your own proxy URL (overrides Geo prop). Read more about ScrapeNinja proxy setup

Timeouttimeoutinteger

Timeout per attempt, in seconds. Each retry will take [timeout] number of seconds.

Text Not ExpectedtextNotExpectedstring[]

Text which will trigger a retry from another proxy address.

Status Not ExpectedstatusNotExpectedinteger[]

HTTP response statuses which will trigger a retry from another proxy address.

Block ImagesblockImagesboolean

Block images from loading. This will speed up page loading and reduce bandwidth usage.

Block MediablockMediaboolean

Block (CSS, fonts) from loading. This will speed up page loading and reduce bandwidth usage.

Screenshotscreenshotboolean

Take a screenshot of the page. Pass "false" to increase the speed of the request.

Catch Ajax Headers URL MaskcatchAjaxHeadersUrlMaskstring

Useful to dump some XHR response. Pass URL mask here. For example, if you need to catch all requests to https://example.com/api/data.json, pass "api/data.json" here. In response, you will get new property .info.catchedAjax with the XHR response data - { url, method, headers[], body , status, responseHeaders{} }

Viewport WidthviewportWidthinteger

Width of the viewport.

Viewport HeightviewportHeightinteger

Height of the viewport.

Viewport Device Scale FactorviewportDeviceScaleFactorinteger

Device scale factor for the viewport.

Viewport Has TouchviewportHasTouchboolean

Whether the viewport has touch capabilities.

Viewport Is MobileviewportIsMobileboolean

Whether the viewport is mobile.

Viewport Is LandscapeviewportIsLandscapeboolean

Whether the viewport is in landscape mode.

Extractorextractorstring

Custom JS function to extract JSON values from scraped HTML. Write&test your own extractor on https://scrapeninja.net/cheerio-sandbox/

Action Authentication

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

Using ScrapingNinja in Pipedream

  • Create a RapidAPI Account: Begin by signing up for a RapidAPI account.
  • Access Your API Key:
    • Once registered, you'll be able to interact with ScrapingNinja using your RapidAPI key.
    • Open the ScrapingNinja documentation on RapidAPI and locate your API key labeled X-RapidAPI-Key.
    • Copy this key and paste it into the rapid_api_key field below.
  • Subscribe to the API: Finally, click Subscribe to Test in the RapidAPI console to subscribe to the ScrapingNinja API.

About ScrapeNinja

Extract Web Data on Scale

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