ScrapingBot
Best web scraping APIs to extract HTML content without getting blocked.
Integrate the ScrapingBot API with the Snowflake API
Setup the ScrapingBot API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate ScrapingBot and Snowflake remarkably fast. Free for developers.
Popular Ways to Connect ScrapingBot with Snowflake#
Popular ScrapingBot and Snowflake Triggers#
Popular ScrapingBot and Snowflake Actions#
Retrieve data from a social media scraping job by responseId. See the documentation
Use ScrapingBot API to initiate scraping data from a social media site. See the documentation
Use ScrapingBot API to extract specific data from Google or Bing search results. See the documentation
Use ScrapingBot API to extract specific data from a webpage. See the documentation
Overview of ScrapingBot#
ScrapingBot API on Pipedream allows you to scrape websites without getting blocked, fetching crucial information while bypassing common defenses. Whether you're extracting product details, real estate listings, or automating competitor research, this API combined with Pipedream's serverless platform offers you the tools to automate these tasks efficiently. Pipedream's ability to trigger workflows via HTTP requests, schedule them, or react to events, means you can create robust scraping operations that integrate seamlessly with hundreds of other apps.
Connect ScrapingBot#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scrapingbot: {
type: "app",
app: "scrapingbot",
}
},
async run({steps, $}) {
const data = {
"url": ``,
}
return await axios($, {
method: "post",
url: `http://api.scraping-bot.io/scrape/raw-html`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.scrapingbot.$auth.username}`,
password: `${this.scrapingbot.$auth.api_key}`,
},
data,
})
},
})
Overview of Snowflake#
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.
Connect Snowflake#
import { promisify } from 'util'
import snowflake from 'snowflake-sdk'
export default defineComponent({
props: {
snowflake: {
type: "app",
app: "snowflake",
}
},
async run({steps, $}) {
const connection = snowflake.createConnection({
...this.snowflake.$auth,
application: "PIPEDREAM_PIPEDREAM",
})
const connectAsync = promisify(connection.connect)
await connectAsync()
async function connExecuteAsync(options) {
return new Promise((resolve, reject) => {
connection.execute({
...options,
complete: function(err, stmt, rows) {
if (err) {
reject(err)
} else {
resolve({stmt, rows})
}
}
})
})
}
// See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
const { rows } = await connExecuteAsync({
sqlText: `SELECT CURRENT_TIMESTAMP()`,
})
return rows
},
})