Firecrawl

“I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves ~$30K per collection shoot and boosts on-site conversion rates by ~20%) Here’s how the automation actually works: → Firecrawl scrapes product images directly from any e-commerce collection page → Google’s Veo 3.1 generates realistic model videos showing fit, movement, and drape → Each video begins and ends on the original product image for perfect looping → Videos are auto-named, organized, and stor”

“Firecrawl is so pathetic they say they are open source but their self hosted version is so shit and it seems like it’s forcibly made to be shit like when you scrape the links in markdown are all prefixed with the starting url. This doesn’t happen in the online version and the open source version in every endpoint they have made it soo bad on point to make you pay. What a piece of shit company doing this double handed snaky shit”

“I needed something reliable to pull web content into an AI workflow, so I tested the 3 tools I kept running into: Firecrawl, Tavily and Jina I used the exact same 100 URLs for each one. The mix was pretty random on purpose: i) docs/blog posts ii) ecommerce pages iii) JS-heavy sites iv) landing pages v) tables and longer pages vi) a few annoying sites that usually break scrapers I just wanted to know: if I give this thing a URL, how often do I get back something clean enough that I can actually u”

“93/100 is a really solid result. The comparison with the other tools makes this much more useful than just a generic test.”

“This looks super useful for avoiding expensive API keys . IDK how you managed to get around Cloudflare entirely local, but if it works like you say, it's gonna save a lot of people some serious cash. Anyway i'm definitely trying this out later. curious to see it in action.”

“Firecrawl is so pathetic they say they are open source but their self hosted version is so shit and it seems like it’s forcibly made to be shit like when you scrape the links in markdown are all prefixed with the starting url. This doesn’t happen in the online version and the open source version in every endpoint they have made it soo bad on point to make you pay. What a piece of shit company doing this double handed snaky shit”

“Sadly Firecrawl is EXTREMELY expensive for any serious use. And the community version is not loved so it’s often left in a broken state when shipped. I used it for a little while but switched back to Exa for now.”

“OpenCode's built-in websearch and webfetch work, but they're basic. If your agent hits a Cloudflare-protected page, it gets blocked. If it needs real search results, you're either paying for Tavily/Serper/Firecrawl or glueing together SearXNG + a headless browser + an extractor. I built Hound as a drop-in MCP server that handles all of that. No API keys, no config file, no paid tier. Just add it to your opencode.json and disable the built-in web tools. UPDATE!!!!: I AM LOST, I AM LOCKED OUT OF M”

“I've been building AI agents for a while now and the web access part was always the weakest link. You'd have this sophisticated reasoning engine powered by GPT/Claude, connected to a janky scraping setup that breaks every other day. That's changing fast. A few tools have matured to the point where web access actually works reliably: Firecrawl (firecrawl.dev) has been solid for scraping and crawling. You give it a URL, it handles JS rendering and anti-bot, gives you clean markdown. Their LLM extr”

“Since a year i've been using firecrawl to enable my models to read from the net. No massive crawl or similar. I installed it on my server and was good to go. It was opensource and after some twiddling I got it running ... well and I didnt care anymore. Now I had to upgrade my server and got nothing working anymore. Self-Host seems broken on the mcp and the engine does not support "desktop browser" crawl anymore. Lot of changes and issues in Github. Tried a few hours to get it running again by fa”

“firecrawl completely destroying the yellow pages anti-bot protection in under a minute is actually insane. i have burned so many tokens watching claude code try and fail to parse javascript heavy sites. giving the llm structured markdown instead of a massive dump of raw html is such a smart way to save context window. when i build quick scraping scripts for client research, i usually have the output generate a static html report and then throw it on tiiny host so the client can just click a link”

“I used both for about four months on a similar data pipeline project so wanted to add a couple things. The docker issue in Crawl4ai is worse than it sounds in the post and it degrades over time, it started dropping requests randomly after 3 weeks and never found a clean fix.”