Query Analytics Finder Campaign Sample with LinkedIn Ads API on New Error from elmah.io API

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New Error from the elmah.io API

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Query Analytics Finder Campaign Sample with the LinkedIn Ads API

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Getting Started#

This integration creates a workflow with a elmah.io trigger and LinkedIn Ads action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Error trigger
1. Connect your elmah.io account
2. Configure timer
3. Select a Log ID
Configure the Query Analytics Finder Campaign Sample action
1. Connect your LinkedIn Ads account
2. Configure Start Year
3. Select a Time Granularity
4. Select a Ad Account Id
5. Select a Campaign Id
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 Error on elmah.io

Description:Emit new event on each new error

Version:0.0.3

Key:elmah_io-new-error

View on GitHub

elmah.io Overview#

The elmah.io API allows developers to automate error logging and management in their applications. By using this API, you can create robust monitoring systems that capture, analyze, and notify you of any application errors in real-time. Integrating elmah.io with Pipedream opens up possibilities for streamlining incident responses, correlating errors with system metrics, and improving application stability through automated workflows. With Pipedream's serverless platform, you can connect elmah.io to numerous other services to enhance your error management processes.

Trigger Code#

import elmah_io from "../../elmah_io.app.mjs";
import constants from "../common/constants.mjs";
import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";

const QUERY = "isNew:true AND (severity:Error OR severity:Fatal)";

export default {
  name: "New Error",
  version: "0.0.3",
  key: "elmah_io-new-error",
  description: "Emit new event on each new error",
  type: "source",
  dedupe: "unique",
  props: {
    elmah_io,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    db: "$.service.db",
    logId: {
      propDefinition: [
        elmah_io,
        "logId",
      ],
    },
  },
  methods: {
    emitEvent(event) {
      this.$emit(event, {
        id: event.id,
        summary: `New error with id ${event.id}`,
        ts: Date.parse(event.dateTime),
      });
    },
    _setLastEventDatetime(datetime) {
      this.db.set("lastEventDatetime", datetime);
    },
    _getLastEventDatetime() {
      this.db.get("lastEventDatetime");
    },
  },
  hooks: {
    async deploy() {
      const messages = await this.elmah_io.getMessages({
        logId: this.logId,
        params: {
          pageSize: 10,
          query: QUERY,
        },
      });

      messages.forEach(this.emitEvent);
    },
  },
  async run() {
    let page = 0;

    while (page >= 0) {
      const messages = await this.elmah_io.getMessages({
        logId: this.logId,
        params: {
          pageIndex: page,
          pageSize: constants.DEFAULT_PAGE_SIZE,
          query: QUERY,
        },
      });

      messages.forEach(this.emitEvent);

      page++;

      if (messages.length < constants.DEFAULT_PAGE_SIZE) {
        page = -1;
        return;
      }
    }
  },
};

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
elmah.io	`elmah_io`	`app`	This component uses the elmah.io app.
	`timer`	`$.interface.timer`
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Log ID	`logId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

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

API keys are located on the organization settings page.

To open organization settings, click the gears icon next to your organization name on either the left menu or through the dashboard:

When on the organization settings page, click the API Keys tab and copy or generate your API key.

About elmah.io#

elmah.io is the easy error logging and uptime monitoring service for .NET. Take back control of your errors with support for all .NET web and logging frameworks.

Action#

Query Analytics Finder Campaign Sample on LinkedIn Ads

Description:Sample query using analytics finder that gets analytics for a particular campaign in a date range starting in a given year. [See the docs here](https://docs.microsoft.com/en-us/linkedin/marketing/integrations/ads-reporting/ads-reporting#analytics-finder)

Version:0.0.4

Key:linkedin_ads-create-report-by-campaign

View on GitHub

LinkedIn Ads Overview#

The LinkedIn Ads API on Pipedream enables you to automate and integrate your LinkedIn advertising efforts with other services. Fetch campaign data, manage ad accounts, or automate ad creation and adjustments. With Pipedream, you can trigger workflows with HTTP requests, emails, and on a schedule, and connect to thousands of other apps with minimal effort.

Action Code#

/* eslint-disable no-unused-vars */
import common from "../common/report.mjs";

export default {
  ...common,
  key: "linkedin_ads-create-report-by-campaign",
  name: "Query Analytics Finder Campaign Sample",
  description: "Sample query using analytics finder that gets analytics for a particular campaign in a date range starting in a given year. [See the docs here](https://docs.microsoft.com/en-us/linkedin/marketing/integrations/ads-reporting/ads-reporting#analytics-finder)",
  version: "0.0.4",
  type: "action",
  props: {
    ...common.props,
    startYear: {
      propDefinition: [
        common.props.app,
        "startYear",
      ],
    },
    timeGranularity: {
      propDefinition: [
        common.props.app,
        "timeGranularity",
      ],
    },
    adAccountId: {
      propDefinition: [
        common.props.app,
        "adAccountId",
      ],
    },
    campaignId: {
      propDefinition: [
        common.props.app,
        "campaignId",
        ({ adAccountId }) => ({
          adAccountId,
        }),
      ],
    },
  },
  async run({ $ }) {
    const {
      app,
      getDateRangeParam,
      startYear,
      timeGranularity,
      campaignId,
      getListParam,
      createReport,
    } = this;

    const response = await createReport({
      $,
      params: {
        "q": "analytics",
        "pivot": "CAMPAIGN",
        "dateRange": getDateRangeParam(`${startYear}-01-01`),
        timeGranularity,
        "campaigns": getListParam([
          app.getSponsoredCampaignUrn(campaignId),
        ]),
      },
    });

    $.export("$summary", "Successfully retrieved analytics");

    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
LinkedIn Ads	`app`	`app`	This component uses the LinkedIn Ads app.
Start Year	`startYear`	`string`	The inclusive start year range of analytics. This action query is set to 1st January, as the day and month of the start range of the analytics.
Time Granularity	`timeGranularity`	`string`	Select a value from the drop down menu:`ALLDAILYMONTHLYYEARLY`
Ad Account Id	`adAccountId`	`string`	Select a value from the drop down menu.
Campaign Id	`campaignId`	`string`	Select a value from the drop down menu.

Action Authentication#

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

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

r_ads_reportingrw_adsr_adsr_basicprofiler_marketing_leadgen_automationr_ads_leadgen_automationr_organization_adminrw_conversionsr_events