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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 locally or in the cloud, rotate proxies and much more.
Google ApifyGoogle has been an integral part of my digital life for many years. Its search engine is unparalleled in its ability to fine relevant information quickly and accurately. The user-friendly interface and wide range of services make it a go- to for everything from email to navigation.
Google is the most reliable source for me to find the correct information. Its user-friendly interface and speedy results make searching much easier. From answers to random questions and finding locations, Google has never let me down. Its the first app I turn to when I need information. Highly recommended
Best Search Engine
Based on our record, Google seems to be a lot more popular than Apify. While we know about 3737 links to Google, we've tracked only 26 mentions of Apify. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sends a simple HTTP request to https://google.com using curl. Captures the response and determines whether the request was successful. Logs the result (either SUCCES, FAILURE, or an error message) along with the current date and time to a log file located in your home directory. Before automating the script, it’s important to test that it works as expected. Open your terminal and run the Python script manually... - Source: dev.to / 17 days ago
{ "event_id": "ev_14742", "user_id": "user_742", "session_id": "sess_4742", "event_type": "page_view", "page_url": "https://example.com/contact", "page_title": "Contact Page", "referrer": "https://google.com", "timestamp": "2025-05-07 11:02:40", "device_type": "desktop", "browser": "Safari", "properties": "{\"browser_version\":\"13.0\", \"screen_size\":\"1766x1010\"}" }. - Source: dev.to / 23 days ago
From selenium import webdriver # Create instance of ChromeOptions Options = webdriver.ChromeOptions() # Specify the user data directory path Options.add_argument("user-data-dir=C:/Users/Me/AppData/Local/Google/Chrome/User Data") # Launch Chrome with the specified options Try: driver = webdriver.Chrome(options=options) Except Exception as e: print(f"Error launching Chrome: {e}") # Open Google as a... - Source: dev.to / about 1 month ago
QUIC is a transport protocol developed by Google to improve the performance of web applications. It relies on UDP (User Datagram Protocol) instead of TCP, allowing it to reduce latency and optimize data flow management. QUIC was designed to address the classic problems of TCP, such as the 3-way handshake latency and head-of-line blocking, where the loss of a single packet blocks the entire connection. - Source: dev.to / about 1 month ago
Import { MailMessage } from '@intentjs/core'; Const mail = MailMessage.init() .greeting('Hey there') .line( 'We received your request to reset your account password.', ) .button('Click here to reset your password', 'https://google.com') .line('Alternative, you can also enter the code below when prompted') .inlineCode('ABCD1234') .line('Rise & Shine,') .line('V') .subject('Hey there from... - Source: dev.to / about 2 months ago
For deployment, we'll use the Apify platform. It's a simple and effective environment for cloud deployment, allowing efficient interaction with your crawler. Call it via API, schedule tasks, integrate with various services, and much more. - Source: dev.to / about 1 month ago
We already have a fully functional implementation for local execution. Let us explore how to adapt it for running on the Apify Platform and transform in Apify Actor. - Source: dev.to / 3 months ago
We've had the best success by first converting the HTML to a simpler format (i.e. markdown) before passing it to the LLM. There are a few ways to do this that we've tried, namely Extractus[0] and dom-to-semantic-markdown[1]. Internally we use Apify[2] and Firecrawl[3] for Magic Loops[4] that run in the cloud, both of which have options for simplifying pages built-in, but for our Chrome Extension we use... - Source: Hacker News / 9 months ago
Developed by Apify, it is a Python adaptation of their famous JS framework crawlee, first released on Jul 9, 2019. - Source: dev.to / 10 months ago
Hey all, This is Jan, the founder of [Apify](https://apify.com/)—a full-stack web scraping platform. After the success of [Crawlee for JavaScript](https://github.com/apify/crawlee/) today! The main features are: - A unified programming interface for both HTTP (HTTPX with BeautifulSoup) & headless browser crawling (Playwright). - Source: Hacker News / 11 months ago
DuckDuckGo - The Internet privacy company that empowers you to seamlessly take control of your personal information online, without any tradeoffs.
import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.
Bing - Bing helps you turn information into action, making it faster and easier to go from searching to doing.
Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
YouTube - Our mission is to give everyone a voice and show them the world.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
