Backlink Building Agent
This Actor is paid per event
Backlink Building Agent
This Actor is paid per event
The Backlink Building Agent automates backlink outreach by finding relevant pages & websites, extracting contacts from these websites, and then crafting personalized outreach sequences based on the content to these partners. These sequences can be used on email, LinkedIn, Twitter, & WhatsApp.
You can access the Backlink Building Agent programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "keywords": ["Best google search scrapers"],
10 "businessName": "Apify",
11 "shortBusinessDescription": "Apify is the largest ecosystem where developers build, deploy, and publish data extraction and web automation tools. We call them Actors.",
12 "excludeDomains": ["somescraper.com"],
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("daniil.poletaev/backlink-outreach-js").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startBacklink Building Agent API in Python
The Apify API client for Python is the official library that allows you to use Backlink Building Agent API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Daniil PoletaevActor Metrics
1 monthly user
-
1 bookmark
88% runs succeeded
Created in Feb 2025
Modified a day ago
