What do you want to automate
with Ahrefs and Go?
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Popular Ahrefs and Go Actions#
Get the backlinks for a domain or URL with details for the referring pages (e.g., anchor and page title).
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Get one backlink with the highest ahrefs_rank per referring domain for a target URL or domain (with details for the referring pages including anchor and page title).
Get the referring domains that contain backlinks to the target URL or domain.
Overview of Ahrefs#
Ahrefs API taps into the vast data reserves of Ahrefs, a robust SEO tool, to programmatically access insights into backlink profiles, keyword rankings, and SEO health. With Pipedream's capabilities, you can automate SEO monitoring, integrate with content management systems, trigger alerts for new or lost backlinks, or gather intelligence for keyword research—all without manual intervention. This unlocks the potential for real-time SEO strategy adjustments and the integration of SEO data into broader business processes or analytics platforms.
Connect Ahrefs#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ahrefs: {
type: "app",
app: "ahrefs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://apiv2.ahrefs.com`,
params: {
output: `json`,
token: `${this.ahrefs.$auth.oauth_access_token}`,
from: `subscription_info`,
},
})
},
})
Overview of Go#
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.
Connect Go#
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies