ScrapeGraphAI v2.0 is here!
We rewrote everything from scratch, new API, new SaaS, new scrapers.Same price = double the credits now.
#WebScraping#AI#DataExtraction#ProductLaunch
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@ScrapeGraphAI x @cognee_ — now integrated. Extract structured data from any website → automatically build a knowledge graph → power your AI agents with real reasoning, not just retrieval. #AI#RAG#AIAgents#OpenSource
Link for the MCP on GH 🔗 : #key-features" target="_blank" rel="nofollow noopener">github.com/mcp/ScrapeGrap…
Getting started with 🕷️: docs.scrapegraphai.com/introduction
Excited to announce our partnership with @scrapegraphai
ScrapeGraphAI is a suite of LLM driven web scraping tools for extracting structured data from any website or HTML content, now available to AI agents via Orthogonal.
ScrapeGraphAI is now SOC 2 Type I compliant.
Yes, we finally got the certificate that proves we’re not gremlins handling your data. 😂
#scrapegraphai#scraping#oss#compliance
We turned Claude into a Scraping Monster 🤯
LLMs (Claude, ChatGPT, Gemini) are great at reasoning
but terrible at real web scraping.
So we plugged Claude into ScrapeGraphAI using our MCP server hosted on @SmitheryDotAI#scrapegraphai#oss#scraping
If you are building AI Agents using @AgnoAgi, and need a good built in tool for LLM based scraping then using @scrapegraphai `ScrapeGraphTools`, your Agno agents can:
- Scrape any website
- Extract structured data for reasoning tasks
- Handle logins and clicks
Here’s how 👇
@github Universe was amazing, with numerous announcements and exciting developments.
They are doubling down on MCP, and I see exciting applications.
Stay tuned for @scrapegraphai <> @github , we are cooking 🧑🍳
Full tutorial → How to built a Smart GTM Agent?
Your AI-powered growth co-pilot that generates company research, competitor insights, GTM playbooks, and distribution strategies - all in minutes, not weeks.
Features:
→ auto-generated profiles, competitor analysis & funding insights
→ target market, ICP, messaging, pricing, growth strategy
→ distribution partners, sales + marketing mapping, scaling tactics
→ store previous crawl and search data to save api costs
Built with @scrapegraphai, @langchain, @NousResearch (Hermes-4-70B) & lightweight persistence storage via SQLite.
working👇