Software Alternatives, Accelerators & Startups

FetchFox.ai VS Kadoa

Compare FetchFox.ai VS Kadoa and see what are their differences

FetchFox.ai logo FetchFox.ai

Scrape any website with AI

Kadoa logo Kadoa

Scrape Websites Easily With AI
  • FetchFox.ai
    Image date //
    2024-10-30
  • FetchFox.ai
    Image date //
    2024-10-30
  • FetchFox.ai
    Image date //
    2024-10-30

FetchFox is an AI powered web scraper. It takes the raw text of a website, and uses AI to extract data the user is looking for. It runs as a Chrome Extension, and the user describes the desired data in plain English.

You can use FetchFox to quickly gather data like building a list of leads, assembling research data, or scoping out a market segment.

By scraping raw text with AI, FetchFox lets you circumvent anti-scraping measures on sites like LinkedIn and Facebook. Even the complicated HTML structures are possible to parse with FetchFox.

  • Kadoa Landing page
    Landing page //
    2023-05-07

FetchFox.ai

Pricing URL
-
Release Date
2024 October
Startup details
Country
United States
City
California

Category Popularity

0-100% (relative to FetchFox.ai and Kadoa)
AI
58 58%
42% 42
Web Scraping
46 46%
54% 54
Chrome Extensions
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Kadoa should be more popular than FetchFox.ai. It has been mentiond 6 times since March 2021. 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.

FetchFox.ai mentions (3)

  • 1% Equity for Founding Engineers Is BS
    Off topic but on your home page https://fetchfox.ai/ the wider your screen the fewer 'Our Happy Users' anecdotes you get. Somewhere around 2400px the number goes to zero. - Source: Hacker News / 4 months ago
  • Ask HN: Who is hiring? (February 2025)
    We’re looking for someone with top notch programming skills, fast coding, and a great sense for technical design. The role is open-ended, and there is challenging work to be done on many aspects of the project, including the core library, proxies, the website, and more. The only requirement is that you must have excellent technical skills. Our compensation is competitive. Our cash compensation is similar to YC... - Source: Hacker News / 4 months ago
  • Ask HN: Who is hiring? (January 2025)
    FetchFox.ai | https://fetchfox.ai | REMOTE | competitive compensation FetchFox is an AI web scraper. It convert takes a prompt and a URL, and crawls that site to give structured data. I'm the founder, and I'm looking for smart engineers/hackers to improve the product. We have a lot of flexibility on what you can work on, including the web app, or the free open source library which you can find at - Source: Hacker News / 5 months ago

Kadoa mentions (6)

  • Ask HN: Who is hiring? (January 2025)
    Kadoa | Senior Software Engineer | Remote (Europe) | Full-Time | https://kadoa.com At Kadoa, we are building the foundational infrastructure for unstructured data ETL. We enable any organization to instantly transform unstructured data (websites, documents, emails, etc.) into structured insights - without code or maintenance overhead. We are VC-funded with strong traction. There are two official roles, but we... - Source: Hacker News / 5 months ago
  • Web scraping with GPT-4o: powerful but expensive
    We've been working on AI-automated web scraping at https://kadoa.com and our early experiments were similar to yours. We started when only the expensive and slow GPT-3 was available, which pushed us to develop a cost-effective solution at scale. Here is what we ended up with: - Extraction: We use codegen models to generate CSS selectors or XPath extraction code. This is more efficient than using LLMs for every... - Source: Hacker News / 9 months ago
  • My finetuned models beat OpenAI's GPT-4
    > Data extraction/structuring data is the only serious application of LLMs I fully agree. I realized this early on when experimenting with GPT-3 for web data extraction. We then started seeing a lot of demand for automating rule-based web scraping stacks (lots of maintenance, hard to scale), which led to the creation of our startup (https://kadoa.com). AI won't eliminate our jobs, but it will automate tedious,... - Source: Hacker News / 11 months ago
  • Show HN: Chat with your data using LangChain, Pinecone, and Airbyte
    You're right, LLMs are really good at extracting and structuring data from third party sources. I've been working on a "Zapier for data extraction" for this reason: https://kadoa.com. - Source: Hacker News / almost 2 years ago
  • Kor: Extract structured data using LLMs
    We're using LLMs to generate web scrapers and data processing steps on the fly that adapt to website changes. Using an LLM for every data extraction, as most comparable tools do, is expensive and slow, but using LLMs to generate the scraper code and subsequently adapt it to website modifications is highly efficient. Try it out https://kadoa.com. - Source: Hacker News / almost 2 years ago
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What are some alternatives?

When comparing FetchFox.ai and Kadoa, you can also consider the following products

Loman AI - Loman AI - Your 24/7 AI Phone Sales Agent

Simple Scraper - Extract data from any website in seconds — download instantly, scrape in the cloud, or create an API.

OneTab - Whenever you find yourself with too many tabs, click the OneTab icon to convert all of your tabs into a list. When you need to access the tabs again, you can either restore them individually or all at once.

Predibase - Low-code AI platform built for developers

Browse AI - Automate any workflow on any website with no code. Used for monitoring, testing, automation, and data aggregation.Sign up now for free and receive 2x jobs per month – forever!

TestDriver.ai - Next generation autonomous AI agent for end-to-end testing of web & desktop