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docs(main-readme): fixed some typos
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README.md
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README.md
@ -16,11 +16,6 @@ Just say which information you want to extract and the library will do it for yo
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<img src="https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/scrapegraphai_logo.png" alt="Scrapegraph-ai Logo" style="width: 50%;">
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</p>
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[](https://discord.gg/gkxQDAjfeX)
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[](https://www.linkedin.com/company/scrapegraphai/)
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[](https://twitter.com/scrapegraphai)
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## 🚀 Quick install
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The reference page for Scrapegraph-ai is available on the official page of pypy: [pypi](https://pypi.org/project/scrapegraphai/).
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@ -44,13 +39,11 @@ Try it directly on the web using Google Colab:
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[](https://colab.research.google.com/drive/1sEZBonBMGP44CtO6GQTwAlL0BGJXjtfd?usp=sharing)
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Follow the procedure on the following link to setup your OpenAI API key: [link](https://scrapegraph-ai.readthedocs.io/en/latest/index.html).
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## 📖 Documentation
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The documentation for ScrapeGraphAI can be found [here](https://scrapegraph-ai.readthedocs.io/en/latest/).
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Check out also the docusaurus [documentation](https://scrapegraph-doc.onrender.com/).
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Check out also the Docusaurus [here](https://scrapegraph-doc.onrender.com/).
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## 💻 Usage
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There are three main scraping pipelines that can be used to extract information from a website (or local file):
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@ -179,6 +172,10 @@ Feel free to contribute and join our Discord server to discuss with us improveme
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Please see the [contributing guidelines](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/CONTRIBUTING.md).
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[](https://discord.gg/gkxQDAjfeX)
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[](https://www.linkedin.com/company/scrapegraphai/)
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[](https://twitter.com/scrapegraphai)
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## 📈 Roadmap
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Check out the project roadmap [here](https://github.com/VinciGit00/Scrapegraph-ai/blob/main/docs/README.md)! 🚀
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