spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
OpenNLP
NLTK
PyNLPl
SerpApi
Apify
ScrapingBee
Bright Data
tavily
DataForSEO
Scraper API
SearchApi.io
We help you automate gathering data from search engines like Google, Bing, or Yahoo. What's cool about SerpApi is that it handles all the scraping complexities for you, like dealing with CAPTCHAs, managing IP addresses, and parsing data into a structured JSON. So you don't have to worry about the details.
It's super useful for developers who need to pull search results for tasks like SEO monitoring, market research, travel information, AI models, or even academic projects. Plus, it provides the data in a neat JSON format, making it really easy to use in your applications!
SerpApiSerpApi's answer:
We provide more search engines under one subscription.
SerpApi's answer:
Developers/Companies who need data from search engines.
SerpApi's answer:
Ruby on Rails and MongoDB
SerpApi's answer:
We're the first web scraping company that focus on scraping search engines.
SerpApi's answer:
Back in 2017, Julien Khaleghy, the founder of SerpApi, built an iOS app that can analyze data from a picture. iOS didn't have a proper machine learning framework back then. It was challenging: iPhones' RAM were limited, no GPU or no dedicated chip acceleration were available, using only CPU was painfully slow, and compiling/porting C code from machine learning framework like Tensorflow or Caffe to iOS wasn't straightforward. Oddly, all of this wasn't the most difficult part of this project. Collecting images from Google Images was.
In these projects, 80% of his time ended up being spent on scraping and parsing Google Images. And maybe only 20% on actual machine learning model training, UI design of the actual apps, and iOS programming. This is how SerpApi was born.
SerpApi's answer:
SerpApi might be a bit more popular than spaCy. We know about 92 links to it since March 2021 and only 65 links to spaCy. 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 / 5 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
Real-world note: For production, integrate with SerpAPI, Brave Search API, or Tavily. The structure stays the same. - Source: dev.to / 2 months ago
And here's the code for SearchGoogleShopping that works with Google Shopping using SerpApi:. - Source: dev.to / 4 months ago
I work at SerpApi [0], and we offer a free tier that may serve your needs if you're just looking to do programmatic searches periodically. Much of the reason people go with a service like ours is because of the difficulty with rolling your own reliable solution. Happy to answer any questions you might have as well! [0]: https://serpapi.com/. - Source: Hacker News / 5 months ago
The Nemofinder is open source and available on GitHub. You need to add a SerpAPI key or change the API to one that you have access to. You need to set up a DigitalOcean GPU droplet with Nemotron 3. Next, you need to update the Nemotron 3 calls to use your deployment's IP address. Feel free to clone, change, and use the application as you'd like. - Source: dev.to / 5 months ago
SerpApi | https://serpapi.com | Junior to Senior Fullstack Engineer multiple positions | Customer Success Engineer | Hiring Coordinator | Python/Ruby/PHP/Js/Rust/Cotlin/C#/Crystal/Nim/Elixir Developer Advocate positions | Based in Austin, TX but remote-first structure | Full-time | ONSITE or FULLY REMOTE | $150K - 180K a year 1099 for US or local avg + 20% for outside the US SerpApi is the leading API to scrape... - Source: Hacker News / 6 months ago
Amazon Comprehend - Discover insights and relationships in text
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Google Cloud Natural Language API - Natural language API using Google machine learning
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.
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.