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Alternatives

Products that do what Geekflare Scraping API v2 does

RAG-ready web scraping that cuts your LLM token costs

  1. 1

    Scrape, Screenshot, and extract LLM-ready data

    Jan 2026

  2. 2

    Markdown conversion tool for the AI era.

    2025

  3. 3

    Turn any website into LLM-ready Markdown

    Aug 2026 · exabase.io

  4. 4

    Automate website data extraction in a few clicks

    2020

  5. 5

    Cut your AI token costs by 40-60% with one API call

    Feb 2026

  6. 6

    Capture data from any page, like magic - now with AI

    2023

  7. 7

    Markdown editor built for the AI workflow era

    Dec 2025

  8. 8

    Bulk-convert HTML to Markdown for AI — private, in-browser

    26d ago · html-to-markdown-ai.com

  9. 9

    AI-Powered Web Scraping Tool

    2024

  10. 10
    SerpApi18

    Give Your AI Agents Live Search Data with 50% Fewer Tokens

    4d ago · serpapi.com

  11. 11LM

    This app is demonstrating how to support rich-text (markdown) in LLM responses (OpenAI in this case). It's a Nextjs app, with Vercel AI, and remark for handling the formatting.

    2023 · llm-markdown.vercel.app

  12. 12AM

    I recently saw a post from the Vercel CEO pointing out that LLMs understand websites much better when they can request: `Accept: text/markdown` Most websites today are built for humans. When AI agents try to consume them, they get complex HTML instead of clean, structured content. So I built *accept-md* – a simple open-source package for Next.js that helps solve this. Getting started is intentionally minimal: ``` npx accept-md init ``` After that, your existing Next.js routes can automatically respond with Markdown whenever an AI agent (or any client) requests it. No redesigns, no CMS…

    Feb 2026 · accept.md

  13. 13EY

    Hi HN, I want to share a suite of APIs designed to make web scraping and content transformation seamless. These tools empower your agents to handle diverse scraping and formatting tasks: 1. Markdownify API Endpoint Transforms web pages into clean, well-structured markdown. Ideal for content migration, documentation, or converting HTML to markdown for any use case. 2. Local Scraper API Extract structured data directly from HTML content. Instead of providing a URL, send the HTML and your extraction prompt to get meaningful, structured results. 3. SmartScraper API Define your desired output…

    2024 · scrapegraphai.com

  14. 14LF

    LLM from URL —— A free AI chat completion service directly from URL Usage: In the address bar of any web browser, type your question after https://818233.xyz/ and hit Enter to get the instant answer. You know the best part of this? Whitespace in the url is supported in most web browsers! You can also use curl or Wget to retrieve the appended url by replacing any whitespace with a '+' character. If you need to have an actual '+' character in your question, just use '++'. Example: The url "https://818233.xyz/hi there" in any web browser will return the same answer…

    2025 · 818233.xyz

  15. 15PR

    Hi HN, While building RAG agents, I noticed a lot of token budget was wasted on formatting overhead (HTML tags, JSON structure, whitespace). Existing solutions felt too heavy (often requiring torch&#x2F;transformers), so I wrote this lightweight, zero-dependency library to solve it. It includes strategies for context packing, PII redaction, and tool output compression. Benchmarks show it can save ~15% of tokens with negligible latency overhead (<0.5ms). Happy to answer any questions!

    Dec 2025 · github.com

  16. 16AM

    Hi everyone! I built Allein, a Markdown editor powered by Ollama — use your own LLMs locally for AI-assisted writing, completely private, no account required, and works offline. What it does: - Context-aware autocompletion (think GitHub Copilot for Markdown) - Writing improvements (spelling, grammar, readability) - Flexible model selection—swap between different LLMs based on your needs and your device's capabilities - Full-featured Markdown editor with live preview Why I built it: I wanted GitHub Copilot-like autocompletion in a lightweight text editor—something between Apple Notes' basic…

    Nov 2025 · github.com

  17. 17LC

    Hi HN, I'm building Librarian (https:&#x2F;&#x2F;uselibrarian.dev&#x2F;), an open-source (MIT) context management tool that stops AI agents from burning tokens by blindly re-reading their entire conversation history on every turn. The Problem: If you're building agentic loops in frameworks like LangGraph or OpenClaw, you hit two walls fast: Financial Cost: Token usage scales quadratically over long conversations. Passing the whole history every time gets incredibly expensive. Context Rot: As the context window fills up, the LLM suffers from the "Lost in the Middle" effect. Response latency…

    Feb 2026 · uselibrarian.dev

  18. 18

    Trim unnecessary code, save AI tokens, and reduce API costs.

    28d ago · token-trim.vercel.app

  19. 19

    Feed any webpage into LLMs without wasting your token

    18d ago · chromewebstore.google.com

  20. 20

    Check if LLMs can cite your site.

    22d ago · github.com

  21. 21WB

    Hi HN, I'm one of the creators of Nanobrowser, an open-source Chrome extension that lets you automate web tasks using AI agents. We were inspired by the potential of tools like OpenAI's Operator, but we wanted something that was: -Open-Source:You can see the code, modify it, and contribute to the project. -Browser-Based:No complex setups or server deployments. It runs directly in your browser. -Customizable:You can tailor the agent's behavior to your specific needs. -BYO LLM:Bring your own large language model API key (OpenAI, Anthropic,or even local models), No vendor lock-in. -Privacy…

    2025 · github.com

  22. 22EA

    A few months ago I was working on a flight search engine that would include pet transport costs (I know a few by hearth but storing them and make the calculations in the UI would be nice) While I was collecting pet pricing from several airlines I strugled to extract data in a common format without hallucinated values. That's when I thought: What if I use multiple LLMs and take the most common response to improve accuracy? This idea became this new project. You provide your documents, an SQLModel schema, an LLM provider, plus what you'd like to extract and Extrai does the rest. Including…

    Nov 2025 · github.com

  23. 23XT

    I just built XYMake (https:&#x2F;&#x2F;xymake.com), a tool that lets you convert any X (Twitter) thread into clean markdown, making your conversations accessible for LLMs, MCPs, or any API. ## What it does: - Transforms any X thread URL into markdown by simply changing "x.com" to "xymake.com" in the URL - OAuth2 login to "free your data" and make your threads available - Auto-generates OG images with token counts and participant info for easy sharing - Serves different content types based on whether the request is from a crawler, browser, or agent ## Why I built it: I believe people should…

    2025 · xymake.com

  24. 24II

    I can't say "I created a tool" because obviously I only had an idea, then asked Cursor to implement it and 15 minutes later it was ready ;) Often I found I was manually replacing em dashes with hyphens in AI-generated text before I use them in copy, PR descriptions etc. It still feels like a shame to flare the text "you wrote" was not really human made. To automate these removals, here it is: super tiny online page. I made it for myself, but whoever wants, you can use it as well. I am not going to monetize it or promote more than this post.

    May 2026 · undsh.com

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