Octoparse
import.io
Apify
ParseHub
Content Grabber
Scrapy
Data Miner
Kimono
Amazon Rekognition
Google Vision AI
Kairos
Clarifai
OpenCV
Microsoft Computer Vision API
Trueface Visionbox
Social Mapper
Octoparse Amazon RekognitionI've been playing around with different scraping tools in the past month, trying to find the best one to help with my research project, and I have to say this new feature of auto-detection comes like a life-savor. I only need to give the software the link and it will auto-detect the content and build the crawler for me. I can even enjoy it with just a free plan!
Based on our record, Amazon Rekognition seems to be a lot more popular than Octoparse. While we know about 33 links to Amazon Rekognition, we've tracked only 3 mentions of Octoparse. 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.
Octoparse.com might work, they have a very nice interactive tool + 14 day free trail. Source: over 2 years ago
These are no-code solutions for scraping websites. You don’t need any technical knowledge to scrape Aliexpress using these tools. Using advanced AI-powered click and scrape tools, you can get started scraping within seconds either locally or in the cloud. Choosing a good scraping tool can save you lots of money and time as well. Source: almost 3 years ago
I have always been able to extract data without any problems with Octoparse. It is also a very easy to use tool. Source: about 3 years ago
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 3 months ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 11 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 12 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: 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.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Kairos - Facial recognition & mood detection API
ParseHub - ParseHub is a free web scraping tool. With our advanced web scraper, extracting data is as easy as clicking the data you need.
Clarifai - The World's AI