Alternatives
Products that do what Geekflare Scraping API v2 does
RAG-ready web scraping that cuts your LLM token costs
- 1

- 2

- 3

- 4

- 5

- 6

- 7

- 8
Bulk-convert HTML to Markdown for AI — private, in-browser
26d ago · html-to-markdown-ai.com
- 9

- 10

- 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
- 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
- 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
- 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
- 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/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
- 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
- 17LC
Hi HN, I'm building Librarian (https://uselibrarian.dev/), 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

Trim unnecessary code, save AI tokens, and reduce API costs.
28d ago · token-trim.vercel.app
- 19

Feed any webpage into LLMs without wasting your token
18d ago · chromewebstore.google.com
- 20

- 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
- 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
- 23XT
I just built XYMake (https://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
- 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
Ranked by how close each launch is in meaning, then by votes. Refine with a description →