No-Code Scraper is a no-code scraping tool that enables you to extract data from any website effortlessly without needing to write code. By leveraging large language models, it simplifies the data extraction process, making it accessible to everyone.
🌟 Excited to finally unveil NoCodeScraper to the world! 🚀
NoCodeScraper empowers anyone, regardless of technical skill, to effortlessly scrape and collect web data through an intuitive, no-code interface. Whether you’re a marketer, researcher, or just someone who loves data, we've got you covered.
🎉 Key Features:
• No coding required: Simple tell us what data you want and let the LLM tackle the rest
• Automated data extraction in seconds
• Flexible data export options
I can't wait to see how NoCodeScraper helps you unlock the potential of web data. Your feedback is invaluable, so we'd love to hear your thoughts and experiences!
Check it out and let us know what you think! 👇
@marc_klingen thanks for the question. Not sure if I fully understand the question but the basic flow is:
1️⃣. Playwright Javascript Rendering of the Page + Turning HTML into markdown
2️⃣. Creating Pydantic Schema from User Input
3️⃣. Feeding Markdown into LLM Context and doing a function call to return structured data.
On the full version of the app, you'll be able to create reusable templates, fields and then just create differnt jobs for different websites on schedule, adhoc etc.
Let me know if you have any follow-up questions!
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This is great, excited to use it. But how can we do something like scraping a particular section of a website?
A good example would be !google business reviews
@hamzasaleem I just tried it for google maps business reviews, and it's not perfect, but it works.
Here's a link to the template:
https://www.nocodescraper.com/te...
Normally there's no need to specify a specific section since the LLM is smart enough to figure out what we want based on the field descriptions.
What kind of data would you like to scrape?
@kraider93 thanks for your support! We already have an Apple App Store template, maybe that could be a good start 🚀
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Data extraction is a very complicated task especially when the site is dynamic, using AI for scraping is indeed the way to scrape dynamic sites.
Good luck with the launch.
@sentry_co 👋 thanks for the question. LinkedIn and Twitter data are quite protected. I am planning to support both eventually. For LinkedIn most likely cookie based, while for twitter through proxies.
I'll ping you here once it's launched, for now it's not possible yet 😬
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