← HTTP / Webhook + Exa integrations

Get Contents with Exa API on New Requests (Payload Only) from HTTP / Webhook API

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New Requests (Payload Only) from the HTTP / Webhook API
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Getting Started

This integration creates a workflow with a HTTP / Webhook trigger and Exa 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 (Payload Only) trigger
    1. Connect your HTTP / Webhook account
  3. Configure the Get Contents action
    1. Connect your Exa account
    2. Configure URLs
    3. Optional- Configure Include Text
    4. Optional- Configure Highlights Num Sentences
    5. Optional- Configure Highlights Per URL
    6. Optional- Configure Highlights Query
    7. Optional- Configure Summary Query
    8. Optional- Configure Summary Schema
    9. Optional- Select a Live Crawl
    10. Optional- Configure Live Crawl Timeout
    11. Optional- Configure Subpages
    12. Optional- Configure Subpage Target
    13. Optional- Configure Extras Links
    14. Optional- Configure Extras Image Links
    15. Optional- Configure Include Context
  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 HTTP body as an event on every request
Version:0.1.1
Key:http-new-requests-payload-only

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
// Returns a 200 OK response, emits the HTTP payload as an event
export default {
  key: "http-new-requests-payload-only",
  name: "New Requests (Payload Only)",
  // eslint-disable-next-line
  description: "Get a URL and emit the HTTP body as an event on every request",
  version: "0.1.1",
  type: "source",
  props: {
    // eslint-disable-next-line
    httpInterface: {
      type: "$.interface.http",
      customResponse: true,
    },
    http,
  },
  async run(event) {
    const { body } = event;
    this.httpInterface.respond({
      status: 200,
      body,
    });
    // Emit the HTTP payload
    this.$emit({
      body,
    });
  },
};

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.
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:Retrieves full page contents, summaries, and metadata for a list of URLs. Uses cached results with optional live crawling fallback. [See the documentation](https://docs.exa.ai/reference/get-contents)
Version:0.0.1
Key:exa-get-contents

Action Code

import { ConfigurationError } from "@pipedream/platform";
import app from "../../exa.app.mjs";

export default {
  key: "exa-get-contents",
  name: "Get Contents",
  description: "Retrieves full page contents, summaries, and metadata for a list of URLs. Uses cached results with optional live crawling fallback. [See the documentation](https://docs.exa.ai/reference/get-contents)",
  version: "0.0.1",
  type: "action",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: true,
  },
  props: {
    app,
    urls: {
      propDefinition: [
        app,
        "urls",
      ],
    },
    text: {
      description: "If `true`, returns full page text with default settings. If `false`, disables text return.",
      propDefinition: [
        app,
        "text",
      ],
    },
    highlightsNumSentences: {
      propDefinition: [
        app,
        "highlightsNumSentences",
      ],
    },
    highlightsPerUrl: {
      propDefinition: [
        app,
        "highlightsPerUrl",
      ],
    },
    highlightsQuery: {
      propDefinition: [
        app,
        "highlightsQuery",
      ],
    },
    summaryQuery: {
      propDefinition: [
        app,
        "summaryQuery",
      ],
    },
    summarySchema: {
      propDefinition: [
        app,
        "summarySchema",
      ],
    },
    livecrawl: {
      propDefinition: [
        app,
        "livecrawl",
      ],
    },
    livecrawlTimeout: {
      type: "integer",
      label: "Live Crawl Timeout",
      description: "Timeout in milliseconds for live crawling (default: 10000)",
      optional: true,
    },
    subpages: {
      propDefinition: [
        app,
        "subpages",
      ],
    },
    subpageTarget: {
      propDefinition: [
        app,
        "subpageTarget",
      ],
    },
    extrasLinks: {
      propDefinition: [
        app,
        "extrasLinks",
      ],
    },
    extrasImageLinks: {
      propDefinition: [
        app,
        "extrasImageLinks",
      ],
    },
    context: {
      description: "Return page contents as a context string for LLM. When true, combines all result contents into one string. We recommend using 10000+ characters for best results, though no limit works best. Context strings often perform better than highlights for RAG applications.",
      propDefinition: [
        app,
        "context",
      ],
    },
  },
  async run({ $ }) {
    const {
      app,
      urls,
      text,
      highlightsNumSentences,
      highlightsPerUrl,
      highlightsQuery,
      summaryQuery,
      summarySchema,
      livecrawl,
      livecrawlTimeout,
      subpages,
      subpageTarget,
      extrasLinks,
      extrasImageLinks,
      context,
    } = this;

    let parsedSchema;
    if (summarySchema) {
      if (typeof summarySchema === "string") {
        try {
          parsedSchema = JSON.parse(summarySchema);
        } catch (error) {
          throw new ConfigurationError(`Invalid JSON schema format: ${error.message}. Please provide a valid JSON object.`);
        }
      } else {
        parsedSchema = summarySchema;
      }
    }

    const response = await app.getContents({
      $,
      data: {
        urls,
        text,
        livecrawl,
        livecrawlTimeout,
        subpages,
        subpageTarget,
        context,
        ...(extrasLinks
        || extrasImageLinks
          ? {
            extras: {
              links: extrasLinks,
              imageLinks: extrasImageLinks,
            },
          }
          : undefined
        ),
        ...(highlightsNumSentences
          || highlightsPerUrl
          || highlightsQuery
          ? {
            highlights: {
              numSentences: highlightsNumSentences,
              highlightsPerUrl,
              query: highlightsQuery,
            },
          }
          : undefined
        ),
        ...(summaryQuery
          || summarySchema
          ? {
            summary: {
              query: summaryQuery,
              schema: parsedSchema,
            },
          }
          : undefined
        ),
      },
    });

    $.export("$summary", `Successfully retrieved contents with ID \`${response.requestId}\`.`);
    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.

LabelPropTypeDescription
ExaappappThis component uses the Exa app.
URLsurlsstring[]

List of URLs to retrieve contents for

Include Texttextboolean

If true, returns full page text with default settings. If false, disables text return.

Highlights Num SentenceshighlightsNumSentencesinteger

The number of sentences to return for each snippet.

Highlights Per URLhighlightsPerUrlinteger

The number of snippets to return for each result.

Highlights QueryhighlightsQuerystring

Custom query to direct the LLM's selection of highlights.

Summary QuerysummaryQuerystring

Custom query to guide summary generation

Summary SchemasummarySchemaobject

JSON schema for structured output from summary. See JSON Schema documentation for details.

Example:
{ "$schema": "http://json-schema.org/draft-07/schema#", "title": "Title", "type": "object", "properties": { "Property 1": { "type": "string", "description": "Description" }, "Property 2": { "type": "string", "enum": ["option 1", "option 2", "option 3"], "description": "Description" } }, "required": ["Property 1"] }

Live CrawllivecrawlstringSelect a value from the drop down menu:neverfallbackalwayspreferred
Live Crawl TimeoutlivecrawlTimeoutinteger

Timeout in milliseconds for live crawling (default: 10000)

Subpagessubpagesinteger

Number of subpages to crawl per result

Subpage TargetsubpageTargetstring

Keywords to identify specific subpages to crawl

Extras LinksextrasLinksinteger

Number of URLs to return from each webpage.

Extras Image LinksextrasImageLinksinteger

Number of images to return for each result.

Include Contextcontextboolean

Return page contents as a context string for LLM. When true, combines all result contents into one string. We recommend using 10000+ characters for best results, though no limit works best. Context strings often perform better than highlights for RAG applications.

Action Authentication

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

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