← Oxylabs + Snowflake integrations

Execute SQL Query with Snowflake API on New Scheduled Run Completed from Oxylabs API

Pipedream makes it easy to connect APIs for Snowflake, Oxylabs and 2,700+ other apps remarkably fast.

Trigger workflow on
New Scheduled Run Completed from the Oxylabs API
Next, do this
Execute SQL Query with the Snowflake API
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Getting Started

This integration creates a workflow with a Oxylabs trigger and Snowflake 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 Scheduled Run Completed trigger
    1. Connect your Oxylabs account
    2. Configure timer
    3. Select a Schedule ID
  3. Configure the Execute SQL Query action
    1. Connect your Snowflake account
    2. Configure SQL Query
  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 scheduled run is completed. [See the documentation](https://developers.oxylabs.io/scraping-solutions/web-scraper-api/features/scheduler#get-runs-information)
Version:0.0.1
Key:oxylabs-new-scheduled-run-completed

Oxylabs Overview

The Oxylabs API provides robust tools for web data extraction, enabling you to gather vast amounts of data efficiently from various sources across the web. With Pipedream's serverless platform, you can harness this power to create automated workflows that trigger on specific events, process the data, and connect to other services. Whether you're monitoring brand sentiment, tracking prices, or conducting market research, integrating Oxylabs with Pipedream can significantly streamline your data collection and analysis tasks.

Trigger Code

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

export default {
  key: "oxylabs-new-scheduled-run-completed",
  name: "New Scheduled Run Completed",
  description: "Emit new event when a new scheduled run is completed. [See the documentation](https://developers.oxylabs.io/scraping-solutions/web-scraper-api/features/scheduler#get-runs-information)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    oxylabs,
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
    scheduleId: {
      propDefinition: [
        oxylabs,
        "scheduleId",
      ],
    },
  },
  methods: {
    generateMeta(run) {
      return {
        id: run.id,
        summary: `New Run with ID: ${run.id}`,
        ts: Date.now(),
      };
    },
  },
  async run() {
    const { runs } = await this.oxylabs.getRunsInfo({
      scheduleId: this.scheduleId,
    });
    for (const run of runs) {
      const meta = this.generateMeta(run);
      this.$emit(run, meta);
    }
  },
  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
OxylabsoxylabsappThis component uses the Oxylabs app.
timer$.interface.timer
Schedule IDscheduleIdstringSelect a value from the drop down menu.

Trigger Authentication

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

Your API Username and Password are sent to your email when you sign up to Oxylabs.

About Oxylabs

Market-leading proxy & web scraping solutions provider.

Action

Description:Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.
Version:0.2.0
Key:snowflake-execute-sql-query

Snowflake Overview

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University

Action Code

import snowflake from "../../snowflake.app.mjs";

export default {
  name: "Execute SQL Query",
  version: "0.2.0",
  key: "snowflake-execute-sql-query",
  description: "Execute a custom Snowflake query. See [our docs](https://pipedream.com/docs/databases/working-with-sql) to learn more about working with SQL in Pipedream.",
  type: "action",
  props: {
    snowflake,
    // eslint-disable-next-line pipedream/props-description
    sql: {
      type: "sql",
      auth: {
        app: "snowflake",
      },
      label: "SQL Query",
    },
  },
  async run({ $ }) {
    const args = this.snowflake.executeQueryAdapter(this.sql);

    const data = await this.snowflake.executeQuery(args);

    $.export("$summary", `Returned ${data.length} ${data.length === 1
      ? "row"
      : "rows"}`);

    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
SnowflakesnowflakeappThis component uses the Snowflake app.
SQL Querysqlsql

Action Authentication

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

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

About Snowflake

A data warehouse built for the cloud

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