You can access the Website Content Crawler Fast 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 = { "url": "https://www.apify.com" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("timelody/website-content-crawler-fast").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Website Content Crawler Fast API in Python

The Apify API client for Python is the official library that allows you to use Website Content Crawler Fast API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Website Content Crawler Fast API in JavaScript

Website Content Crawler Fast API through CLI

Website Content Crawler Fast OpenAPI definition

Website Content Crawler Fast API

Scraping Page

flavorful_quintuplet/scraping-page

Scraping Page Based on Your Website

Nomeri Sadulak

Fast Website Content Crawler

6sigmag/fast-website-content-crawler

A high-performance web scraper that rapidly extracts and analyzes content from multiple websites simultaneously. Perfect for competitive research, content aggregation, and website structure analysis.

David

3.6K

4.9

No-BS Content Crawler 🖕

successful_nonagon/no-bs-content-crawler

Fast web crawler that extracts clean text from websites. Returns readable content, headings, and links. Perfect for content aggregation, SEO research, and data collection.

hafsah nuzhat

5.0

Website Deep Crawler

ubaid_ai/websitedeepcrawler

Automatically crawl and scrape all pages of any website by providing just one URL. Discovers and extracts data from every accessible page within the domain efficiently.

Ubaid AI

5.0

Web Crawler

rigelbytes/webcrawler

This web crawler is designed to provide users with complete flexibility by allowing them to use their **own proxies**. The scraper collects all pages from the website and returns extracts the **MetaData**, **Title**, and **Content** of the page in MarkDown.

Rigel Bytes

Universal Website to API – Any Site → JSON

inquisitive_zeppelin/universal-website-to-api---any-site---json

Multi-URL Web Scraper is a fast, reliable, and highly flexible scraping tool designed to extract structured data from multiple web pages in a single run.

Hamza Ahmed

Full Website HTML Crawler

kahan_anghan/full-website-html-crawler

A fast and efficient web scraping Actor that crawls websites and extracts structured page-level data. Supports configurable crawl limits and exports results in structured dataset format.

kahan anghan

Fast URL Content Crawler

6sigmag/fast-url-content-crawler

A high-performance web scraper that rapidly extracts and analyzes content from multiple URLs simultaneously. Perfect for competitive research, content aggregation, and website structure analysis.

David

321

5.0

Enhanced Deep Content Crawler

assertive_analogy/advanced-crawler

A fast, Python-powered web crawler with smart content extraction, JS support, metadata capture, and duplicate detection. Ideal for SEO, content migration, and e-commerce scraping. Reliable, scalable, and easy to customize.

Gideon Nesh

1.0

Website Content Crawler for RAG

qingyun/website-content-crawler

Crawl documentation sites, help centers, blogs, and websites, then extract clean markdown, text, or HTML for RAG pipelines, vector databases, and LLM applications.