
Firecrawl
Apify
Bright Data
ScrapingBee
Scraper API
Browserbase
SerpApi
tavily
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
PromptLayer
Firecrawl is an open-source web scraping platform designed to transform entire websites into clean, structured data formats optimized for large language models (LLMs) like GPT-4, Claude, and Gemini. Whether you're building AI applications, automating research, or enriching datasets, Firecrawl simplifies the process of extracting valuable information from the web. With its advanced crawling and content extraction techniques, Firecrawl ensures that developers can access high-quality data without the complexities of traditional web scraping methods.
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
Firecrawl
LangfuseFirecrawl is one of the most powerful tools for turning websites into clean, structured, LLM-ready data.
It removes the complexity of traditional web scraping and provides a simple API that converts web pages into markdown or structured formats, making it extremely useful for AI applications, especially RAG pipelines and automation workflows.
What stands out most is its ability to handle messy, dynamic websites and still return clean, usable output without heavy configuration. This saves a huge amount of development time compared to frameworks like Scrapy or manual scraping setups.
The API-first design makes it easy to integrate into AI agents, data pipelines, and backend systems. Itโs especially useful for developers building LLM-based apps who need reliable web data ingestion.
However, it may feel slightly overkill for very small scraping tasks, and pricing could be a concern for solo developers or hobby projects.
Overall, Firecrawl is a modern, production-ready web data extraction tool that bridges the gap between raw websites and AI-ready structured data.
Based on our record, Langfuse should be more popular than Firecrawl. It has been mentiond 28 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.
Generate-lander.ts โ This is the interesting one. It uses Anthropic + Firecrawl to scrape a partner's website, then generates a custom landing page for their affiliate program. Automated partner onboarding. - Source: dev.to / about 1 month ago
My guy, there's an error in your app: Firecrawl API key missing or invalid. Set FIRECRAWL_API_KEY in .env.local to your key from https://firecrawl.dev โ then restart `next dev`. - Source: Hacker News / 3 months ago
Firecrawl is an API service for scraping web pages. It handles JavaScript rendering, anti-bot bypass, and rate limiting โ you send it a URL, it gives you back the page content. By default, Firecrawl returns Markdown. But if you request the raw HTML, you can run rs-trafilatura on it for page-type-aware extraction with quality scoring. - Source: dev.to / 3 months ago
Go to firecrawl.dev and sign up. You get 500 free credits to start, no credit card required. - Source: dev.to / 6 months ago
Just a few days ago, Eric - CEO of Firecrawl - announced that they were closing down their previous startup, Mendable in this article and Hassan was promoted to the Director of Developer Relations in this post, both of whom post sample applications they build on a daily basis. These recent posts are testament to the prolific impact of sample applications on the adoption of Firecrawl and Together.ai. - Source: dev.to / about 1 year ago
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / 7 days ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / 25 days ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 1 month ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 1 month ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Helicone AI - Open-source LLM Observability for Developers
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
LangSmith - Build and deploy LLM applications with confidence
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.
LangChain - Framework for building applications with LLMs through composability