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.
Revolutionize data extraction with Airparser. Extract structured data from emails, PDFs, and documents.
Based on our record, Apify seems to be a lot more popular than Airparser. While we know about 26 links to Apify, we've tracked only 2 mentions of Airparser. 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.
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 / 28 days 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 / 2 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 / 9 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
I'm the developer of two tools that can do precisely what you're looking for: Parsio (https://parsio.io) and Airparser (https://airparser.com). Source: over 1 year ago
To extract tables from PDFs, you can use the following tools: 1. Tabula (https://tabula.technology): a free and open-source tool. 2. Parsio (https://parsio.io): uses pre-trained AI models for data extraction from PDFs, emails, and other formats. 3. Airparser (https://airparser.com): uses GPT approach similar to ChatGPT for data extraction from PDFs, emails, and other formats. - Source: Hacker News / over 1 year ago
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.
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
Parsie.pro - Free your team from manual data entry. Let Parsie handle document processing in seconds.
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.