Blockchain explorer for the Polygon (MATIC) network.
Emit new event when a new transaction is posted on the PolygonScan network for a specific address.
Retrieves the balance of a specific address within the Polygon network. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Obtains the contract ABI of a smart contract on the Polygon network. See the documentation
Fetches the details of a specific transaction by its transaction hash. See the documentation
The PolygonScan API provides access to blockchain data from the Polygon network. It allows for querying of blocks, transactions, and wallet addresses, among other data points. With Pipedream, you can integrate this API to automate monitoring, alerting, and data analysis tasks. You can leverage Pipedream's serverless platform to create workflows that react to events on the Polygon network in real-time, without having to manage infrastructure or write complex backend code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
polygonscan: {
type: "app",
app: "polygonscan",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.polygonscan.com/api`,
params: {
module: `account`,
action: `balance`,
address: `{{your_address}}`, //For testing, try address "0x5A534988535cf27a70e74dFfe299D06486f185B7"
apikey: `${this.polygonscan.$auth.api_key}`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}