@n8n_io This is a great direction for personal agents
giving an agent its own browser opens up a lot of possibilities, especially when it needs to work across different websites and apps.
The interesting part will be how reliably it handles multi-step tasks in the real world 🕷
for when you need the pipeline:
spicrawl a web scraping API + MCP for AI agents.
JS pages, logins, 10,000 URLs in one batch. free to try
https://t.co/ADhz7VAgvR
she wanted fresh leads every morning,
from 2,000 sites!
at 1am.
claude writes the code. it’s not the pipeline 🕷️
what’s the most unreasonable thing you’ve asked your AI for?
built by fable 5.2
Your agent needs 10,000 pages by 9 a.m, It's still stuck on page one
Meet Spicrawl: JavaScript pages, logins and 10,000-URL batches in one tool call. Failed requests cost nothing.
This launch video is 100% code, built by Claude Fable 5.2 🕷️
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
Your AI can search the web.
But can it collect data from 1,000 sites every single day?
That’s a different job. So we built @Spicrawl : the web data layer for AI agents.
→ JS pages, logins, clicks & forms
→ 10,000 URLs in one batch
→ Structured JSON
→ MCP for Claude Code, Cursor & Codex
What would you automate first? 👇
2,000 records. Only 100 fetched
But everything looks fine 🤔
Got the green tick ✅ but why is your dataset still incomplete?
A 200 OK only means the request succeeded. It doesn't mean you got all the results.
Many APIs return data in pages.
For example:
Total records: 2,000 Per page: 100
Fetched: 100 Still missing: 1,900
What to check:
- Look for next, next_cursor or total
- Check how to request the next page
- Keep fetching until there are no more pages
- Check if any request or page limit stopped the process
Don't assume your data is complete just because the API returned a green tick.
Save this for your next API integration 🕷️
Google kept correcting Spicrawl to “Sprawl.” 🥲
A month of SEO work later, we're seeing progress!
It's a small milestone, but we're still learning & experimenting🕷️
What should we focus on next to improve our SEO? 🕷️ https://t.co/HxpaMD3YLs
@HunZhijie exactly! and it also reduces the chances of picking up irrelevant or duplicate values. The less noise you feed into the pipeline, the easier it is to get the data you actually need
You're scraping a whole webpage, but your workflow only needs 3 fields:
Title
Price
Date
Would you scrape the entire page and extract those fields later, or your scraper plugin/MCP can pull only the specific fields you need?
How do you usually handle this in your projects?
Interested to hear how other developers approach it
@shawn_pana Really interesting to see real iPhones becoming accessible to MCP-connected agents. How are you thinking about reliability when multiple agents are controlling devices simultaneously, especially around session isolation and unexpected app states?
@ifbuilder Interesting concept! Could you share a bit more about how Tablif works and what benefits founders or office owners get from having their office listed there?
the real challenge isn't getting AI agents to interact with websites anymore, it's making those interactions reliable
handling dynamic pages, unexpected popups, login states, and verifying that the extracted data is actually accurate are what separate a working demo from an agent you can trust in production