Get Historical Prices with Polygon 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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Get Historical Prices with the Polygon API

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Getting Started#

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

Select this integration
Configure the New Requests (Payload Only) trigger
1. Connect your HTTP / Webhook account
Configure the Get Historical Prices action
1. Connect your Polygon account
2. Select a Stock Ticker
3. Configure Multiplier
4. Select a Timespan
5. Configure From Date
6. Configure To Date
7. Optional- Configure Adjusted
8. Optional- Select a Sort
9. Optional- Configure Limit
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 Requests (Payload Only) on HTTP / Webhook

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

View on GitHub

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.

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.

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.

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.

Label	Prop	Type	Description
N/A	`httpInterface`	`$.interface.http`	This component uses `$.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.
HTTP / Webhook	`http`	`app`	This 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#

Get Historical Prices on Polygon

Description:Fetches historical price data for a specified stock ticker within a date range. [See the documentation](https://polygon.io/docs/stocks/get_v2_aggs_ticker__stocksticker__range__multiplier___timespan___from___to)

Version:0.0.1

Key:polygon-get-historical-prices

View on GitHub

Polygon Overview#

The Polygon API grants access to a wealth of financial data, including real-time and historical stock prices, trade data, and more. Within Pipedream's serverless integration platform, you can tap into Polygon to create powerful workflows. With Pipedream, you can easily connect Polygon to hundreds of other apps, automate financial data processing, send stock alerts, or synchronize market data with databases or spreadsheets, all in real-time.

Action Code#

import {
  SORT_OPTIONS,
  TIMESPAN_OPTIONS,
} from "../../common/constants.mjs";
import polygon from "../../polygon.app.mjs";

export default {
  key: "polygon-get-historical-prices",
  name: "Get Historical Prices",
  description: "Fetches historical price data for a specified stock ticker within a date range. [See the documentation](https://polygon.io/docs/stocks/get_v2_aggs_ticker__stocksticker__range__multiplier___timespan___from___to)",
  version: "0.0.1",
  type: "action",
  props: {
    polygon,
    stockTicker: {
      propDefinition: [
        polygon,
        "stockTicker",
      ],
    },
    multiplier: {
      type: "integer",
      label: "Multiplier",
      description: "The size of the timespan multiplier.",
      default: 1,
    },
    timespan: {
      type: "string",
      label: "Timespan",
      description: "The size of the time window.",
      options: TIMESPAN_OPTIONS,
    },
    from: {
      type: "string",
      label: "From Date",
      description: "The start of the aggregate time window. Either a date with the format **YYYY-MM-DD** or a millisecond timestamp.",
    },
    to: {
      type: "string",
      label: "To Date",
      description: "The end of the aggregate time window. Either a date with the format **YYYY-MM-DD** or a millisecond timestamp.",
    },
    adjusted: {
      propDefinition: [
        polygon,
        "adjusted",
      ],
      optional: true,
    },
    sort: {
      type: "string",
      label: "Sort",
      description: "Sort the results by timestamp. asc will return results in ascending order (oldest at the top), desc will return results in descending order (newest at the top).",
      options: SORT_OPTIONS,
      optional: true,
    },
    limit: {
      type: "integer",
      label: "Limit",
      description: "Limits the number of base aggregates queried to create the aggregate results. Max 50000 and Default 5000. Read more about how limit is used to calculate aggregate results in our article on [Aggregate Data API Improvements](https://polygon.io/blog/aggs-api-updates).",
      optional: true,
      min: 1,
      max: 50000,
      default: 5000,
    },
  },
  async run({ $ }) {
    const response = await this.polygon.getHistoricalPriceData({
      $,
      stockTicker: this.stockTicker,
      multiplier: this.multiplier,
      timespan: this.timespan,
      from: this.from,
      to: this.to,
      params: {
        adjusted: this.adjusted,
        sort: this.sort,
        limit: this.limit,
      },
    });
    $.export("$summary", `Fetched historical prices for ${this.stockTicker} from ${this.from} to ${this.to}.`);
    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
Polygon	`polygon`	`app`	This component uses the Polygon app.
Stock Ticker	`stockTicker`	`string`	Select a value from the drop down menu.
Multiplier	`multiplier`	`integer`	The size of the timespan multiplier.
Timespan	`timespan`	`string`	Select a value from the drop down menu:`secondminutehourdayweekmonthquarteryear`
From Date	`from`	`string`	The start of the aggregate time window. Either a date with the format YYYY-MM-DD or a millisecond timestamp.
To Date	`to`	`string`	The end of the aggregate time window. Either a date with the format YYYY-MM-DD or a millisecond timestamp.
Adjusted	`adjusted`	`boolean`	Whether or not the results are adjusted for splits. By default, results are adjusted. Set this to false to get results that are NOT adjusted for splits.
Sort	`sort`	`string`	Select a value from the drop down menu:`ascdesc`
Limit	`limit`	`integer`	Limits the number of base aggregates queried to create the aggregate results. Max 50000 and Default 5000. Read more about how limit is used to calculate aggregate results in our article on Aggregate Data API Improvements.

Action Authentication#

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

API keys are available in your Polygon dashboard.

About Polygon#

Stock Market Data APIs

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