← Slack + Google Search Console integrations

Retrieve Site Performance Data with Google Search Console API on New Message In Channels (Instant) from Slack API

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New Message In Channels (Instant) from the Slack API
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Retrieve Site Performance Data with the Google Search Console API
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Getting Started

This integration creates a workflow with a Slack trigger and Google Search Console 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 Message In Channels (Instant) trigger
    1. Connect your Slack account
    2. Optional- Select one or more Channels
    3. Configure slackApphook
    4. Optional- Configure Resolve Names
    5. Optional- Configure Ignore Bots
    6. Optional- Configure Ignore replies in threads
  3. Configure the Retrieve Site Performance Data action
    1. Connect your Google Search Console account
    2. Select a Site
    3. Configure Start Date (YYYY-MM-DD)
    4. Configure End Date (YYYY-MM-DD)
    5. Optional- Select one or more Dimensions
    6. Optional- Select a Search Type
    7. Optional- Select a Aggregation Type
    8. Optional- Configure Max Rows
    9. Optional- Configure Start Row
    10. Optional- Configure Subdomain Filter
    11. Optional- Select a Filter Dimension
    12. Optional- Select a Filter Operator
    13. Optional- Configure Advanced Dimension Filters
    14. Optional- Select a Data State
  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 a new message is posted to one or more channels
Version:1.0.24
Key:slack-new-message-in-channels

Slack Overview

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

  • Automate posting updates to your team channels
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • And much more!

Trigger Code

import common from "../common/base.mjs";
import constants from "../common/constants.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "slack-new-message-in-channels",
  name: "New Message In Channels (Instant)",
  version: "1.0.24",
  description: "Emit new event when a new message is posted to one or more channels",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    conversations: {
      propDefinition: [
        common.props.slack,
        "conversation",
      ],
      type: "string[]",
      label: "Channels",
      description: "Select one or more channels to monitor for new messages.",
      optional: true,
    },
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return this.conversations || [
          "message",
        ];
      },
    },
    resolveNames: {
      propDefinition: [
        common.props.slack,
        "resolveNames",
      ],
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    ignoreThreads: {
      type: "boolean",
      label: "Ignore replies in threads",
      description: "Ignore replies to messages in threads",
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New message in channel";
    },
    async processEvent(event) {
      if (event.type !== "message") {
        console.log(`Ignoring event with unexpected type "${event.type}"`);
        return;
      }
      if (event.subtype && !constants.ALLOWED_MESSAGE_IN_CHANNEL_SUBTYPES.includes(event.subtype)) {
        // This source is designed to just emit an event for each new message received.
        // Due to inconsistencies with the shape of message_changed and message_deleted
        // events, we are ignoring them for now. If you want to handle these types of
        // events, feel free to change this code!!
        console.log("Ignoring message with subtype.");
        return;
      }
      if ((this.ignoreBot) && (event.subtype == "bot_message" || event.bot_id)) {
        return;
      }
      // There is no thread message type only the thread_ts field
      // indicates if the message is part of a thread in the event.
      if (this.ignoreThreads && event.thread_ts) {
        console.log("Ignoring reply in thread");
        return;
      }
      if (this.resolveNames) {
        if (event.user) {
          event.user_id = event.user;
          event.user = await this.getUserName(event.user);
        } else if (event.bot_id) {
          event.bot = await this.getBotName(event.bot_id);
        }
        event.channel_id = event.channel;
        event.channel = await this.getConversationName(event.channel);
        if (event.team) {
          event.team_id = event.team;
          event.team = await this.getTeamName(event.team);
        }
      }
      return event;
    },
  },
  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
SlackslackappThis component uses the Slack app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Channelsconversationsstring[]Select a value from the drop down menu.
slackApphook$.interface.apphook
Resolve NamesresolveNamesboolean

Instead of returning channel, team, and user as IDs, return their human-readable names.

Ignore BotsignoreBotboolean

Ignore messages from bots

Ignore replies in threadsignoreThreadsboolean

Ignore replies to messages in threads

Trigger Authentication

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

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

channels:historychannels:readchannels:writeemoji:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writereactions:readreactions:writereminders:readreminders:writestars:readteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:userfiles:write:usercommandsusers.profile:writeusers.profile:readsearch:read

About Slack

Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.

Action

Description:Fetches search analytics from Google Search Console for a verified site.
Version:0.0.3
Key:google_search_console-retrieve-site-performance-data

Google Search Console Overview

The Google Search Console API opens a treasure trove of data and insights about your website's presence in Google Search results. You can get detailed reports on your site's search traffic, manage and test your site's sitemaps and robots.txt files, and see which queries bring users to your site. On Pipedream, utilize this API to automate checks on site performance, integrate with other tools for deeper analysis, or keep tabs on your SEO strategy's effectiveness.

Working with Domain Properties and Subdomains

Google Search Console distinguishes between URL properties and Domain properties:

  • URL properties are specific site URLs (e.g., https://example.com or https://www.example.com)
  • Domain properties include all subdomains and protocols (e.g., sc-domain:example.com)

When working with subdomains:

  1. Select the domain property from the dropdown (e.g., sc-domain:example.com)
  2. Enter the subdomain URL in the "Subdomain Filter" field (e.g., https://mcp.example.com)
  3. By default, this will filter for pages containing that subdomain URL, including all subpages like https://mcp.example.com/app/slack

This approach ensures you can access subdomain data even if the subdomain isn't individually verified in Search Console.

Important: Getting Data for Individual Pages

To see data broken down by individual pages (rather than just aggregate data):

  • Add "page" to your dimensions list
  • This will return separate rows for each page, rather than a single aggregated row

For advanced filtering needs, you can also:

  • Change the filter dimension (page, query, country, etc.)
  • Change the filter operator (contains, equals, etc.)
  • Or use the advanced filters for complete customization

Example Use Cases

  • SEO Performance Report to Slack: Automate daily or weekly SEO performance reports. Use the Google Search Console API to fetch search analytics data, then send a summary report to a Slack channel, keeping the team informed about trends, keyword rankings, and click-through rates.

  • Sync Search Results with Google Sheets: Create a workflow that periodically pulls data from the Google Search Console API and adds it to a Google Sheet. This is useful for maintaining an evolving dataset for deeper analysis, historical reference, or sharing insights across teams without giving direct access to the Search Console.

  • Automatic Sitemap Submission: Set up a Pipedream workflow that triggers whenever a new sitemap is generated in your content management system (CMS). The workflow can then automatically submit the sitemap to Google Search Console via API, ensuring Google has the latest structure of your site for crawling and indexing.

Action Code

import googleSearchConsole from "../../google_search_console.app.mjs";
import { trimIfString } from "../../common/utils.mjs";

export default {
  name: "Retrieve Site Performance Data",
  description: "Fetches search analytics from Google Search Console for a verified site.",
  key: "google_search_console-retrieve-site-performance-data",
  version: "0.0.3",
  type: "action",
  props: {
    googleSearchConsole,
    siteUrl: {
      propDefinition: [
        googleSearchConsole,
        "siteUrl",
      ],
      description: "Select a verified site from your Google Search Console. For subdomains, select the domain property and use dimension filters.",
    },
    startDate: {
      type: "string",
      label: "Start Date (YYYY-MM-DD)",
      description: "Start date of the range for which to retrieve site performance data",
    },
    endDate: {
      type: "string",
      label: "End Date (YYYY-MM-DD)",
      description: "End date of the range for which to retrieve site performance data",
    },
    dimensions: {
      type: "string[]",
      label: "Dimensions",
      optional: true,
      description: "e.g. ['query', 'page', 'country', 'device']",
      options: [
        "country",
        "device",
        "page",
        "query",
        "searchAppearance",
        "date",
      ],
    },
    searchType: {
      type: "string",
      label: "Search Type",
      description: "The type of search to use",
      optional: true,
      options: [
        "web",
        "image",
        "video",
        "news",
        "googleNews",
        "discover",
      ],
      default: "web",
    },
    aggregationType: {
      type: "string",
      label: "Aggregation Type",
      description: "The aggregation type to use",
      optional: true,
      options: [
        "auto",
        "byPage",
      ],
    },
    rowLimit: {
      type: "integer",
      label: "Max Rows",
      description: "Max number of rows to return",
      default: 10,
      optional: true,
    },
    startRow: {
      type: "integer",
      label: "Start Row",
      description: "Start row (for pagination)",
      optional: true,
    },
    subdomainFilter: {
      type: "string",
      label: "Subdomain Filter",
      optional: true,
      description: "Filter results to a specific subdomain when using a domain property (e.g., `https://subdomain.example.com`). This will include all subpages of the subdomain.",
    },
    filterDimension: {
      type: "string",
      label: "Filter Dimension",
      optional: true,
      description: "Dimension to filter by (defaults to page when subdomain filter is used). Using 'page' will match the subdomain and all its subpages.",
      options: [
        "country",
        "device",
        "page",
        "query",
      ],
      default: "page",
    },
    filterOperator: {
      type: "string",
      label: "Filter Operator",
      optional: true,
      description: "Operator to use for filtering (defaults to contains when subdomain filter is used)",
      options: [
        "contains",
        "equals",
        "notContains",
        "notEquals",
        "includingRegex",
        "excludingRegex",
      ],
      default: "contains",
    },
    advancedDimensionFilters: {
      type: "object",
      label: "Advanced Dimension Filters",
      optional: true,
      description: "For advanced use cases: custom dimension filter groups following Search Console API structure.",
    },
    dataState: {
      type: "string",
      label: "Data State",
      description: "The data state to use",
      optional: true,
      options: [
        "all",
        "final",
      ],
      default: "final",
    },
  },
  async run({ $ }) {
    const {
      googleSearchConsole,
      siteUrl,
      subdomainFilter,
      filterDimension,
      filterOperator,
      advancedDimensionFilters,
      ...fields
    } = this;

    const body = Object.entries(fields).reduce((acc, [
      key,
      value,
    ]) => {
      acc[key] = trimIfString(value);
      return acc;
    }, {});

    // Build dimension filters based on user input
    let dimensionFilterGroups;

    if (subdomainFilter) {
      // If user provided a subdomain filter, create the filter structure
      dimensionFilterGroups = {
        filterGroups: [
          {
            filters: [
              {
                dimension: filterDimension || "page",
                operator: filterOperator || "contains",
                expression: subdomainFilter,
              },
            ],
          },
        ],
      };
    } else if (advancedDimensionFilters) {
      // If user provided advanced filters, use those
      dimensionFilterGroups = googleSearchConsole.parseIfJsonString(advancedDimensionFilters);
    }

    let response;
    try {
      response = await googleSearchConsole.getSitePerformanceData({
        $,
        url: siteUrl,
        data: {
          ...body,
          dimensionFilterGroups,
        },
      });
    } catch (error) {
      // Identify if the error was thrown by internal validation or by the API call
      const thrower = googleSearchConsole.checkWhoThrewError(error);

      // Add more helpful error messages for common 403 errors
      if (error.response?.status === 403) {
        const message = "Access denied. If you're trying to access a subdomain, select the domain property (sc-domain:example.com) and use the subdomain filter to filter for your subdomain.";
        throw new Error(`Failed to fetch data: ${message}`);
      }

      throw new Error(`Failed to fetch data (${thrower.whoThrew} error): ${error.message}`);
    }

    const rowCount = response.rows?.length || 0;
    $.export("$summary", `Fetched ${rowCount} ${rowCount === 1
      ? "row"
      : "rows"} of data.`);
    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
Google Search ConsolegoogleSearchConsoleappThis component uses the Google Search Console app.
SitesiteUrlstringSelect a value from the drop down menu.
Start Date (YYYY-MM-DD)startDatestring

Start date of the range for which to retrieve site performance data

End Date (YYYY-MM-DD)endDatestring

End date of the range for which to retrieve site performance data

Dimensionsdimensionsstring[]Select a value from the drop down menu:countrydevicepagequerysearchAppearancedate
Search TypesearchTypestringSelect a value from the drop down menu:webimagevideonewsgoogleNewsdiscover
Aggregation TypeaggregationTypestringSelect a value from the drop down menu:autobyPage
Max RowsrowLimitinteger

Max number of rows to return

Start RowstartRowinteger

Start row (for pagination)

Subdomain FiltersubdomainFilterstring

Filter results to a specific subdomain when using a domain property (e.g., https://subdomain.example.com). This will include all subpages of the subdomain.

Filter DimensionfilterDimensionstringSelect a value from the drop down menu:countrydevicepagequery
Filter OperatorfilterOperatorstringSelect a value from the drop down menu:containsequalsnotContainsnotEqualsincludingRegexexcludingRegex
Advanced Dimension FiltersadvancedDimensionFiltersobject

For advanced use cases: custom dimension filter groups following Search Console API structure.

Data StatedataStatestringSelect a value from the drop down menu:allfinal

Action Authentication

Google Search Console uses OAuth authentication. When you connect your Google Search Console account, Pipedream will open a popup window where you can sign into Google Search Console 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 Search Console API.

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

emailprofilehttps://www.googleapis.com/auth/webmastershttps://www.googleapis.com/auth/webmasters.readonlyhttps://www.googleapis.com/auth/siteverificationhttps://www.googleapis.com/auth/indexing

About Google Search Console

Tools and reports help you measure your site's Search traffic

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