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## [1.26.0](https://github.com/ScrapeGraphAI/Scrapegraph-ai/compare/v1.25.2...v1.26.0) (2024-10-13) ### Features * add deep scraper implementation ([4b371f4](4b371f4d94)) * add google proxy support ([a986523](a986523884)) * add html_mode to smart_scraper ([bdcffd6](bdcffd6360)) * add reasoning integration ([b2822f6](b2822f620a)) * async invocation ([257f393](257f393761)) * conditional_node ([f837dc1](f837dc16ce)) * finished basic version of deep scraper ([85cb957](85cb957297)) * prompt refactoring ([5a2f6d9](5a2f6d9a77)) * refactoring fetch_node ([39a029e](39a029ed9a)) * refactoring of mdscraper ([3b7b701](3b7b701a89)) * refactoring of research web ([26f89d8](26f89d895d)) * refactoring of the conditional node ([420c71b](420c71ba2c)) * undected_chromedriver support ([80ece21](80ece2179a)) * update chromium loader ([4f816f3](4f816f3b04)) ### Bug Fixes * bugs ([026a70b](026a70bd3a)) * import error ([37b6ba0](37b6ba08ae)) * integration with html_mode ([f87ffa1](f87ffa1d8d)) * nodes prompt ([8753537](8753537ecd)) * pyproject.toml ([3b27c5e](3b27c5e88c)) * refactoring prompts ([c655642](c655642577)) * removed pdf_scraper graph and created document scraper ([a57da96](a57da96175)) * search_on_web paremter ([7f03ec1](7f03ec15de)) * typo ([e285127](e28512720c)) ### Perf * Proxy integration in googlesearch ([e828c70](e828c7010a)) ### CI * **release:** 1.22.0-beta.4 [skip ci] ([4330179](4330179cb6)) * **release:** 1.22.0-beta.5 [skip ci] ([6d8f543](6d8f5435d1)) * **release:** 1.22.0-beta.6 [skip ci] ([39f7815](39f78154a6)) * **release:** 1.26.0-beta.1 [skip ci] ([ac31d7f](ac31d7f710)) * **release:** 1.26.0-beta.10 [skip ci] ([0c7ebe2](0c7ebe28ac)) * **release:** 1.26.0-beta.11 [skip ci] ([6d8828a](6d8828aa62)) * **release:** 1.26.0-beta.12 [skip ci] ([44d10aa](44d10aa1c0)) * **release:** 1.26.0-beta.13 [skip ci] ([12f2b99](12f2b9946b)) * **release:** 1.26.0-beta.14 [skip ci] ([eb25725](eb257259f8)) * **release:** 1.26.0-beta.15 [skip ci] ([528a974](528a9746fe)) * **release:** 1.26.0-beta.16 [skip ci] ([04bd2a8](04bd2a87fb)) * **release:** 1.26.0-beta.17 [skip ci] ([f17089c](f17089c123)) * **release:** 1.26.0-beta.2 [skip ci] ([5cedeb8](5cedeb8486)) * **release:** 1.26.0-beta.3 [skip ci] ([4f65be4](4f65be44b5)) * **release:** 1.26.0-beta.4 [skip ci] ([84d7937](84d7937472)) * **release:** 1.26.0-beta.5 [skip ci] ([ea9ed1a](ea9ed1a981)) * **release:** 1.26.0-beta.6 [skip ci] ([4cd21f5](4cd21f500d)) * **release:** 1.26.0-beta.7 [skip ci] ([482f060](482f060c9a)) * **release:** 1.26.0-beta.8 [skip ci] ([38b795e](38b795e48a)) * **release:** 1.26.0-beta.9 [skip ci] ([4dc0699](4dc0699483))
123 lines
3.0 KiB
TOML
123 lines
3.0 KiB
TOML
[project]
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name = "scrapegraphai"
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version = "1.26.0"
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description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."
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authors = [
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{ name = "Marco Vinciguerra", email = "mvincig11@gmail.com" },
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{ name = "Marco Perini", email = "perinim.98@gmail.com" },
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{ name = "Lorenzo Padoan", email = "lorenzo.padoan977@gmail.com" }
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]
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dependencies = [
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"langchain>=0.3.0",
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"langchain-google-genai>=1.0.7",
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"langchain-openai>=0.1.22",
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"langchain-mistralai>=0.1.12",
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"langchain_community>=0.2.9",
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"langchain-aws>=0.1.3",
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"mistral-common>=1.4.0",
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"html2text>=2024.2.26",
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"beautifulsoup4>=4.12.3",
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"pandas>=2.2.2",
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"python-dotenv>=1.0.1",
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"tiktoken>=0.7",
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"tqdm>=4.66.4",
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"minify-html>=0.15.0",
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"free-proxy>=1.1.1",
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"playwright>=1.43.0",
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"undetected-playwright>=0.3.0",
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"langchain-ollama>=0.1.3",
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"qdrant-client>=1.11.3",
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"fastembed>=0.3.6",
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"semchunk>=2.2.0",
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"transformers>=4.44.2",
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"googlesearch-python>=1.2.5"
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]
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license = "MIT"
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readme = "README.md"
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homepage = "https://scrapegraphai.com/"
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repository = "https://github.com/ScrapeGraphAI/Scrapegraph-ai"
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documentation = "https://scrapegraph-ai.readthedocs.io/en/latest/"
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keywords = [
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"scrapegraph",
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"scrapegraphai",
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"langchain",
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"ai",
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"artificial intelligence",
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"gpt",
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"machine learning",
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"rag",
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"nlp",
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"natural language processing",
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"openai",
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"scraping",
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"web scraping",
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"web scraping library",
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"web scraping tool",
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"webscraping",
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"graph",
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"llm"
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]
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classifiers = [
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"Intended Audience :: Developers",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"Programming Language :: Python :: 3",
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"Operating System :: OS Independent",
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]
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requires-python = ">=3.10,<4.0"
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[project.optional-dependencies]
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burr = ["burr[start]==0.22.1"]
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docs = ["sphinx==6.0", "furo==2024.5.6"]
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# Group 1: Other Language Models
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other-language-models = [
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"langchain-google-vertexai>=1.0.7",
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"langchain-fireworks>=0.1.3",
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"langchain-groq>=0.1.3",
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"langchain-anthropic>=0.1.11",
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"langchain-huggingface>=0.0.3",
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"langchain-nvidia-ai-endpoints>=0.1.6",
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"langchain_together>=1.2.9"
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]
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# Group 2: More Semantic Options
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more-semantic-options = [
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"graphviz>=0.20.3",
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]
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# Group 3: More Browser Options
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more-browser-options = [
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"browserbase>=0.3.0",
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]
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# Group 4: Surya Library
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screenshot_scraper = [
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"surya-ocr>=0.5.0",
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"matplotlib>=3.7.2",
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"ipywidgets>=8.1.0",
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"pillow>=10.4.0",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.rye]
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managed = true
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dev-dependencies = [
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"pytest==8.0.0",
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"pytest-mock==3.14.0",
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"-e file:.[burr]",
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"-e file:.[docs]",
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"pylint>=3.2.5",
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]
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[tool.rye.scripts]
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pylint-local = "pylint scrapegraphai/**/*.py"
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pylint-ci = "pylint --disable=C0114,C0115,C0116 --exit-zero scrapegraphai/**/*.py"
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update-requirements = "python 'manual deployment/autorequirements.py'"
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