Invent With Python
Learn Python The Hard Way
Mode Python Notebooks
utile
Datapane
Neckbeard Republic
Pythonista
Learn to build Django apps in just one month.

import.io
Octoparse
ScrapingBee
Firecrawl
ParseHub
Outscraper
Scrapy
Apify is a web scraping and automation platform that can turn any website into an API.

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Based on our record, Apify seems to be more popular. It has been mentioned 67 times since March 2021.
Website, pricing, platforms and company facts side by side.
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OMP
One Month Python
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| Website | onemonth.com | apify.com |
| Pricing | — | |
| Company | — | Startup from the Czech Republic · 10 - 19 employees |
| Listed in |
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Apify is a JavaScript & Node.js based data extraction tool for websites that crawls lists of URLs and automates workflows on the web. With Apify you can manage and automatically scale a pool of headless Chrome / Puppeteer instances, maintain queues of URLs to crawl, store crawling results...
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Apify product news - 2019/01/30
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It depends on the job. For turning known URLs into clean Markdown, a scraping API such as Spicrawl, Firecrawl or Jina Reader is the simplest. For crawling whole sites, Firecrawl, Crawl4AI, Context.dev and Apify follow...
This is another tinytask alternative. For you to link various web services and APIs, Apify has provided many web integration options. You can add data processing and customised computation processes in addition to...
Recommendations tracked on public social media and blogs since March 2021.

Tracking One Month Python since Mar 2021.
AI browser automation adds a reasoning layer. The agent reads the page, works out which element is the price, adapts when the layout shifts, and decides what to do next. It can handle forms, dynamic content, and error states that stop a... - Source: dev.to / 2 days ago
Create a free account at apify.com (no card needed). - Source: dev.to / 3 days ago
When Apify retired rental pricing for Actors on October 1, 2026, a lot of developers lost the pricing model that actually fit their heaviest customers. Pay-per-event works well for long-tail and agent-style usage. It is a worse fit for... - Source: dev.to / 4 days ago
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