You can access the Spyfu (Bulk URLs) programmatically from your own 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "startUrls": [
10        "https://www.apify.com",
11        "https://www.expensify.com",
12    ],
13    "proxy": { "useApifyProxy": True },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("canadesk/spyfu-bulk-urls").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Spyfu (Bulk URLs) API in Python

The Apify API client for Python is the official library that allows you to use Spyfu (Bulk URLs) API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Spyfu (Bulk URLs) API in JavaScript

Spyfu (Bulk URLs) API through CLI

Spyfu (Bulk URLs) OpenAPI definition

Spyfu (Bulk URLs) API

Spyfu

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tri_angle/similarweb-scraper

A simple but powerful scraper for similarweb.com. Retrieve website popularity information and get it in a JSON/XML/CSV/Excel/HTML table format. Get data such as total visits, traffic sources, competitors, top countries, company info, etc..

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Caprolok

Similarweb Quick Scraper

mscraper/similarweb-quick-scraper

A quick scraper for Similarweb. Get needed data instantly for domains of your choice. Export accumulated data into formats such as HTML, JSON, or Excel.