Replicate Blog Scraper

Pricing

$7.00/month + usage

Replicate Blog Scraper

The Replicate Blog Scraper lets you easily extract blog content in HTML or plaintext formats. It also captures key metadata like author and publication date, making it a great tool for content analysis and research.

Pricing

$7.00/month + usage

Rating

0.0

(0)

Developer

Your API Service

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

2 months ago

Last modified

Categories

News

Developer tools

You can access the Replicate Blog Scraper 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("yourapiservice/replicate-blog-scraper").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Replicate Blog Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Replicate Blog Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Replicate Blog Scraper API in Python

Replicate Blog Scraper API through CLI

Replicate Blog Scraper OpenAPI definition

Replicate Blog Scraper API

Naver Blog Scraper

astronomical_lizard/naver-blog-scraper

A scraper that crawl blogs from Naver after searching result.

Alex Wong

122

Blog / Dated Content Crawler

diarmuidr/blog-content-crawler

Crawl an entire blog / knowledge base or filter to just the new content. Supporting relevant AI queries by filtering pages by date

Diarmuid

134

5.0

Naver Keyword Scraper

billygogo/naver-keyword-scraper

This Apify actor scrapes keyword rankings from Naver Shopping Insights (datalab.naver.com). It extracts popular search keywords for specific categories, time periods, and demographic filters.

billygogo

News Articles Scraper

proscraper/news-articles-scraper

Scrape data for news articles. Takes in list of URL's in start_urls and returns the data. Can be used to feed LLM models or training.

Owais Nazir

Articles Extractor

web.harvester/articles-extractor

The Article Extractor is an enterprise-grade web scraping solution designed specifically for extracting structured data from news articles, blog posts, and online publications. Our advanced HTML parsing engine delivers unmatched accuracy in content extraction across thousands of websites.

Web Harvester

647

5.0

Smart Article Scraper - Text, Data & Insights

xtech/article-extractor

𝗔𝗿𝘁𝗶𝗰𝗹𝗲 𝗦𝗰𝗿𝗮𝗽𝗲𝗿 & 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗼𝗿 - Extract clean text, metadata, keywords & summaries from any web article or blog post. Perfect for 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵, 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 & 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴.

Xtech

1.0

News Website Crawler & Article Extractor

xtech/news-source-crawler

Scrape all articles from any news website. Extract full text, metadata, keywords, and summaries. Ideal for content analysis, research, and news aggregation.

Xtech

256

4.4

Article Text Extractor

mtrunkat/article-text-extractor

Simply extracts article texts and other meta info from the given URL. Uses https://github.com/ageitgey/node-unfluff which is a NodeJS implementation of https://github.com/grangier/python-goose.