spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
OpenNLP
NLTK
PyNLPl
Scraper API
ScrapingBee
Apify
Bright Data
Octoparse
Zyte
Scrapy
Oxylabs
ScraperAPI is a powerful and efficient web scraping API and tool designed to empower developers, data scientists, and businesses with reliable data extraction at scale. Our robust proxy API for web scraping simplifies web scraping, ensuring consistent access to vital web data without the frustration of IP bans or rate limits.
We take the complexity out of web scraping by handling the technical hurdles, including intelligent IP rotation, automatic CAPTCHA resolution, advanced parsing, and seamless JavaScript rendering. This allows you to focus on extracting valuable insights, making your web scraping projects more efficient and straightforward.
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We are using Scraper API more than 6 months. The product is very effective and we integrate it into our SaaS software.
Based on our record, spaCy seems to be a lot more popular than Scraper API. While we know about 65 links to spaCy, we've tracked only 1 mention of Scraper API. 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.
We use spaCy’s en_core_web_lg (Large) model as the underlying NLP engine. This gives the Redactor the linguistic context to understand that "Gatsby" in a book title should stay, but "Gatsby" mentioned as a person's name in a private letter might need to go. - Source: dev.to / 4 months ago
For NER, if accuracy is critical, go with an LLM — even an old one like gemma-3-27b-it will outperform tools or small models trained for this task. But by using an LLM you are exposing your data, making an HTTP request, and most likely incurring a cost. If accuracy is not critical and you want to stay in Javascript, compromise is a good package for NER. If you want an even better package and it's OK not using... - Source: dev.to / 6 months ago
For more advanced food label AI, combine pattern matching with Named Entity Recognition (NER). Libraries like spaCy (Python) or compromise (JavaScript) can identify amounts, units, and nutrient names even in noisy text. - Source: dev.to / 6 months ago
For complex or highly variable menus, consider using NLP libraries like spaCy (Python) or fine-tuning a transformer-based NER model (e.g., BERT) to identify dish names and prices. - Source: dev.to / 7 months ago
Open-Source NLP Libraries: Python libraries like spaCy, NLTK, and Hugging Face Transformers for building custom models. - Source: dev.to / 8 months ago
Yeah, scraperapi.com also has a feature called "autoparse", and it converts some sites that it supports (e.g. Amazon) to JSON. Source: about 4 years ago
Amazon Comprehend - Discover insights and relationships in text
ScrapingBee - ScrapingBee is a Web Scraping API that handles proxies and Headless browser for you, so you can focus on extracting the data you want, and nothing else.
Google Cloud Natural Language API - Natural language API using Google machine learning
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
