← New York Times + Google Sheets integrations

Add Single Row with Google Sheets API on New Article Published from New York Times API

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New Article Published from the New York Times API
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Add Single Row with the Google Sheets API
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Getting Started

This integration creates a workflow with a New York Times trigger and Google Sheets 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 Article Published trigger
    1. Connect your New York Times account
    2. Configure timer
    3. Optional- Configure Facet
    4. Optional- Select one or more Facet Fields
    5. Optional- Configure Facet Filter
    6. Optional- Configure Field List
    7. Optional- Configure Filtered Query
    8. Optional- Configure Query
    9. Configure alert
  3. Configure the Add Single Row action
    1. Connect your Google Sheets account
    2. Optional- Select a Drive
    3. Select a Spreadsheet
    4. Select a Sheet Name
    5. Select a Does the first row of the sheet have headers?
  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:Emit new event when an article is published.
Version:0.0.1
Key:new_york_times-new-article

New York Times Overview

The New York Times API offers a variety of endpoints to access different types of news and information. With Pipedream, you can tap into this wealth of data to automate tasks, enrich applications with the latest news, or even analyze trends. Workflows on Pipedream triggered by NYT's API can range from sending daily news briefings to your communication platform, to analyzing article metadata for SEO research, or even keeping track of the most popular stories for content curation.

Trigger Code

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import moment from "moment";
import app from "../../new_york_times.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "new_york_times-new-article",
  name: "New Article Published",
  description: "Emit new event when an article is published.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    app,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    facet: {
      type: "boolean",
      label: "Facet",
      description: "Whether to show facet counts.",
      optional: true,
    },
    facetFields: {
      type: "string[]",
      label: "Facet Fields",
      description: "Use facets to view the relative importance of certain fields to a search term, and gain insight about how to best refine your queries and filter your search results.",
      options: [
        "day_of_week",
        "document_type",
        "ingredients",
        "news_desk",
        "pub_month",
        "pub_year",
        "section_name",
        "source",
        "subsection_name",
        "type_of_material",
      ],
      optional: true,
    },
    facetFilter: {
      type: "boolean",
      label: "Facet Filter",
      description: "Have facet counts use filters.",
      optional: true,
    },
    fl: {
      type: "string[]",
      label: "Field List",
      description: "The list of fields to return in the result set.",
      optional: true,
    },
    fq: {
      type: "string",
      label: "Filtered Query",
      description: "A query to filter the search results.",
      optional: true,
    },
    q: {
      type: "string",
      label: "Query",
      description: "Search query term. Search is performed on the article body, headline, and byline.",
      optional: true,
    },
    alert: {
      type: "alert",
      alertType: "info",
      content: "To learn more about filters you can download the [New York Times specification here](https://developer.nytimes.com/portals/api/sites/nyt-devportal/liveportal/apis/articlesearch-product/download_spec).",
    },
  },
  methods: {
    _getLastDate() {
      return this.db.get("lastDate") || moment().subtract(1, "day");
    },
    _setLastDate(created) {
      this.db.set("lastDate", created);
    },
    generateMeta(item) {
      return {
        id: item._id,
        summary: `A new article was just published with Id: ${item._id}.`,
        ts: item.pub_date,
      };
    },
    async startEvent(maxResults = 0) {
      const lastDate = this._getLastDate();

      const data = this.app.paginate({
        fn: this.app.searchArticles,
        maxResults,
        params: {
          begin_date: moment(lastDate).format("YYYYMMDD"),
          facet: this.facet,
          facet_fields: this.facetFields && this.facetFields.join(),
          facet_filter: this.facetFilter,
          fl: this.fl && this.fl.join(),
          fq: this.fq,
          q: this.q,
          sort: "newest",
        },
      });

      const responseArray = [];
      for await (const item of data) {
        if (Date.parse(item.pub_date) <= Date.parse(lastDate)) break;
        responseArray.push(item);
      }

      if (responseArray.length) this._setLastDate(responseArray[0].pub_date);

      for (const item of responseArray.reverse()) {
        this.$emit(item, this.generateMeta(item));
      }
    },
  },
  hooks: {
    async deploy() {
      await this.startEvent(25);
    },
  },
  async run() {
    await this.startEvent();
  },
  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.
LabelPropTypeDescription
New York TimesappappThis component uses the New York Times app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
timer$.interface.timer
Facetfacetboolean

Whether to show facet counts.

Facet FieldsfacetFieldsstring[]Select a value from the drop down menu:day_of_weekdocument_typeingredientsnews_deskpub_monthpub_yearsection_namesourcesubsection_nametype_of_material
Facet FilterfacetFilterboolean

Have facet counts use filters.

Field Listflstring[]

The list of fields to return in the result set.

Filtered Queryfqstring

A query to filter the search results.

Queryqstring

Search query term. Search is performed on the article body, headline, and byline.

Trigger Authentication

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

About New York Times

The New York Times is an American daily newspaper which features top articles across many sections, including politics, technology, and opinion.

Action

Description:Add a single row of data to Google Sheets
Version:2.1.5
Key:google_sheets-add-single-row

Google Sheets Overview

The Google Sheets API allows for the creation, reading, updating, and deletion of data within Google Sheets, enabling a robust platform for spreadsheet management and data manipulation. Through Pipedream, you can craft serverless workflows that respond to various triggers, such as webhook events, emails, or scheduled times, to interact with Google Sheets. This synergy can automate reporting, synchronize data across applications, manage inventory, track leads in a CRM, or even conduct survey analysis by updating and retrieving sheet data on the fly.

Action Code

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

export default {
  key: "google_sheets-add-single-row",
  name: "Add Single Row",
  description: "Add a single row of data to Google Sheets",
  version: "2.1.5",
  type: "action",
  props: {
    googleSheets,
    drive: {
      propDefinition: [
        googleSheets,
        "watchedDrive",
      ],
    },
    sheetId: {
      propDefinition: [
        googleSheets,
        "sheetID",
        (c) => ({
          driveId: googleSheets.methods.getDriveId(c.drive),
        }),
      ],
      description: "",
      withLabel: true,
    },
    sheetName: {
      propDefinition: [
        googleSheets,
        "sheetName",
        (c) => ({
          sheetId: c.sheetId?.value || c.sheetId,
        }),
      ],
      description: "",
    },
    hasHeaders: {
      type: "string",
      label: "Does the first row of the sheet have headers?",
      description: "If the first row of your document has headers we'll retrieve them to make it easy to enter the value for each column.",
      options: [
        "Yes",
        "No",
      ],
      reloadProps: true,
    },
  },
  async additionalProps() {
    const sheetId = this.sheetId?.value || this.sheetId;
    const props = {};
    if (this.hasHeaders === "Yes") {
      const { values } = await this.googleSheets.getSpreadsheetValues(sheetId, `${this.sheetName}!1:1`);
      if (!values[0]?.length) {
        throw new ConfigurationError("Could not find a header row. Please either add headers and click \"Refresh fields\" or adjust the action configuration to continue.");
      }
      for (let i = 0; i < values[0]?.length; i++) {
        props[`col_${i.toString().padStart(4, "0")}`] = {
          type: "string",
          label: values[0][i],
          optional: true,
        };
      }
    } else if (this.hasHeaders === "No") {
      props.myColumnData = {
        type: "string[]",
        label: "Values",
        description: "Provide a value for each cell of the row. Google Sheets accepts strings, numbers and boolean values for each cell. To set a cell to an empty value, pass an empty string.",
      };
    }
    return props;
  },
  async run({ $ }) {
    const sheetId = this.sheetId?.value || this.sheetId;
    let cells;
    if (this.hasHeaders === "Yes") {
      // TODO: If we could create a variable using this.allColumns in additionalProps, we dont need
      // to call getSpreadsheetValues here again.
      const { values: rows } = await this.googleSheets.getSpreadsheetValues(sheetId, `${this.sheetName}!1:1`);
      const [
        headers,
      ] = rows;
      cells = headers
        .map((_, i) => `col_${i.toString().padStart(4, "0")}`)
        .map((column) => this[column] ?? "");
    } else {
      cells = this.googleSheets.sanitizedArray(this.myColumnData);
    }

    // validate input
    if (!cells || !cells.length) {
      throw new Error("Please enter an array of elements in `Cells / Column Values`.");
    } else if (!Array.isArray(cells)) {
      throw new Error("Cell / Column data is not an array. Please enter an array of elements in `Cells / Column Values`.");
    } else if (Array.isArray(cells[0])) {
      throw new Error("Cell / Column data is a multi-dimensional array. A one-dimensional is expected. If you're trying to send multiple rows to Google Sheets, search for the action to add multiple rows to Sheets.");
    }

    const {
      arr,
      convertedIndexes,
    } = this.googleSheets.arrayValuesToString(cells);

    const data = await this.googleSheets.addRowsToSheet({
      spreadsheetId: sheetId,
      range: this.sheetName,
      rows: [
        arr,
      ],
    });

    let summary = `Added 1 row to [${this.sheetId?.label || this.sheetId} (${data.updatedRange})](https://docs.google.com/spreadsheets/d/${sheetId}).`;
    if (convertedIndexes.length > 0) {
      summary += " We detected something other than a string/number/boolean in at least one of the fields and automatically converted it to a string.";
    }
    $.export("$summary", summary);

    return 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
Google SheetsgoogleSheetsappThis component uses the Google Sheets app.
DrivedrivestringSelect a value from the drop down menu.
SpreadsheetsheetIdstringSelect a value from the drop down menu.
Sheet NamesheetNamestringSelect a value from the drop down menu.
Does the first row of the sheet have headers?hasHeadersstringSelect a value from the drop down menu:YesNo

Action Authentication

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

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

emailprofilehttps://www.googleapis.com/auth/drive

About Google Sheets

Use Google Sheets to create and edit online spreadsheets. Get insights together with secure sharing in real-time and from any device.

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