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pyproject.toml
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pyproject.toml
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[project]
name = "scrapegraphai"
version = "1.7.3"
description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."
authors = [
{ name = "Marco Vinciguerra", email = "[email protected]" },
{ name = "Marco Perini", email = "[email protected]" },
{ name = "Lorenzo Padoan", email = "[email protected]" }
]
dependencies = [
"langchain==0.1.15",
"langchain-openai==0.1.6",
"langchain-google-genai==1.0.3",
"langchain-groq==0.1.3",
"langchain-aws==0.1.3",
"langchain-anthropic==0.1.11",
"html2text==2024.2.26",
"faiss-cpu==1.8.0",
"beautifulsoup4==4.12.3",
"pandas==2.2.2",
"python-dotenv==1.0.1",
"tiktoken==0.6.0",
"tqdm==4.66.4",
"graphviz==0.20.3",
"minify-html==0.15.0",
"free-proxy==1.1.1",
"playwright==1.43.0",
"google==3.0.0",
"undetected-playwright==0.3.0",
"semchunk==1.0.1",
]
license = "MIT"
readme = "README.md"
homepage = "https://scrapegraphai.com/"
repository = "https://github.com/VinciGit00/Scrapegraph-ai"
documentation = "https://scrapegraph-ai.readthedocs.io/en/latest/"
keywords = [
"scrapegraph",
"scrapegraphai",
"langchain",
"ai",
"artificial intelligence",
"gpt",
"machine learning",
"rag",
"nlp",
"natural language processing",
"openai",
"scraping",
"web scraping",
"web scraping library",
"web scraping tool",
"webscraping",
"graph",
]
classifiers = [
"Intended Audience :: Developers",
"Topic :: Software Development :: Libraries :: Python Modules",
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
]
requires-python = ">=3.9,<4.0"
[project.optional-dependencies]
burr = ["burr[start]==0.22.1"]
docs = ["sphinx==6.0", "furo==2024.5.6"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.rye]
managed = true
dev-dependencies = [
"pytest==8.0.0",
"pytest-mock==3.14.0",
"-e file:.[burr]",
"-e file:.[docs]",
]