diff --git a/README.md b/README.md
index b97bdf5f..6229ebd7 100644
--- a/README.md
+++ b/README.md
@@ -32,36 +32,12 @@ The reference page for Scrapegraph-ai is available on the official page of PyPI:
```bash
pip install scrapegraphai
-# IMPORTANT (to fetch webpage content)
+# IMPORTANT (to fetch websites content)
playwright install
```
**Note**: it is recommended to install the library in a virtual environment to avoid conflicts with other libraries 🐱
-
-Optional Dependencies
-Additional dependecies can be added while installing the library:
-
-- More Language Models: additional language models are installed, such as Fireworks, Groq, Anthropic, Hugging Face, and Nvidia AI Endpoints.
-
- This group allows you to use additional language models like Fireworks, Groq, Anthropic, Together AI, Hugging Face, and Nvidia AI Endpoints.
- ```bash
- pip install scrapegraphai[other-language-models]
- ```
-- Semantic Options: this group includes tools for advanced semantic processing, such as Graphviz.
-
- ```bash
- pip install scrapegraphai[more-semantic-options]
- ```
-
-- Browsers Options: this group includes additional browser management tools/services, such as Browserbase.
-
- ```bash
- pip install scrapegraphai[more-browser-options]
- ```
-
-
-
## 💻 Usage
There are multiple standard scraping pipelines that can be used to extract information from a website (or local file).
diff --git a/docs/turkish.md b/docs/turkish.md
index dd18df41..f5799dd2 100644
--- a/docs/turkish.md
+++ b/docs/turkish.md
@@ -31,31 +31,6 @@ playwright install
**Not**: Diğer kütüphanelerle çakışmaları önlemek için kütüphaneyi sanal bir ortamda kurmanız önerilir 🐱
-
-Opsiyonel Bağımlılıklar
-Kütüphaneyi kurarken ek bağımlılıklar ekleyebilirsiniz:
-
-- **Daha Fazla Dil Modeli**: Fireworks, Groq, Anthropic, Hugging Face ve Nvidia AI Endpoints gibi ek dil modelleri kurulur.
-
- Bu grup, Fireworks, Groq, Anthropic, Together AI, Hugging Face ve Nvidia AI Endpoints gibi ek dil modellerini kullanmanızı sağlar.
-
- ```bash
- pip install scrapegraphai[other-language-models]
- ```
-
-- **Semantik Seçenekler**: Graphviz gibi gelişmiş semantik işleme araçlarını içerir.
-
- ```bash
- pip install scrapegraphai[more-semantic-options]
- ```
-
-- **Tarayıcı Seçenekleri**: Browserbase gibi ek tarayıcı yönetim araçları/hizmetlerini içerir.
-
- ```bash
- pip install scrapegraphai[more-browser-options]
- ```
-
-
## 💻 Kullanım
diff --git a/examples/openai/depth_search_graph_openai.py b/examples/openai/depth_search_graph_openai.py
index dff07ad4..799d733a 100644
--- a/examples/openai/depth_search_graph_openai.py
+++ b/examples/openai/depth_search_graph_openai.py
@@ -7,7 +7,7 @@
load_dotenv()
-openai_key = os.getenv("OPENAI_APIKEY")
+openai_key = os.getenv("OPENAI_API_KEY")
graph_config = {
"llm": {
diff --git a/examples/openai/search_graph_openai.py b/examples/openai/search_graph_openai.py
index b8acf4f8..5005bd5b 100644
--- a/examples/openai/search_graph_openai.py
+++ b/examples/openai/search_graph_openai.py
@@ -11,7 +11,7 @@
# Define the configuration for the graph
# ************************************************
-openai_key = os.getenv("OPENAI_APIKEY")
+openai_key = os.getenv("OPENAI_API_KEY")
graph_config = {
"llm": {
diff --git a/examples/openai/speech_graph_openai.py b/examples/openai/speech_graph_openai.py
index 1890c44e..8cf32527 100644
--- a/examples/openai/speech_graph_openai.py
+++ b/examples/openai/speech_graph_openai.py
@@ -20,7 +20,7 @@
# Define the configuration for the graph
# ************************************************
-openai_key = os.getenv("OPENAI_APIKEY")
+openai_key = os.getenv("OPENAI_API_KEY")
graph_config = {
"llm": {
diff --git a/funding.json b/funding.json
deleted file mode 100644
index 70755807..00000000
--- a/funding.json
+++ /dev/null
@@ -1,83 +0,0 @@
-{
- "id": 0,
- "guid": "",
- "version": "v1.0.0",
- "url": "",
- "meta": {},
- "status": "",
- "status_message": null,
- "crawl_errors": 0,
- "crawl_message": null,
- "created_at": "2024-10-31T10:00:00Z",
- "updated_at": "2024-10-31T10:00:00Z",
- "entity": {
- "type": "organisation",
- "role": "owner",
- "name": "ScrapeGraphAI, Inc.",
- "email": "contact@scrapegraphai.com",
- "phone": "",
- "description": "An AI-powered web scraping framework that intelligently extracts structured data from websites with automatic pattern recognition, adaptive scraping strategies, and built-in rate limiting. Recognized as a top 200 open-source AI project globally.",
- "webpageUrl": {
- "url": "https://github.com/ScrapeGraphAI/Scrapegraph-ai/blob/main/funding.json"
- }
- },
- "projects": [
- {
- "guid": "scrapegraph-core",
- "name": "ScrapeGraphAI Core",
- "description": "An AI-powered web scraping framework that intelligently extracts structured data from websites with automatic pattern recognition, adaptive scraping strategies, and built-in rate limiting. Recognized as a top 200 open-source AI project globally.",
- "webpageUrl": {
- "url": "https://github.com/ScrapeGraphAI/Scrapegraph-ai/blob/main/funding.json"
- },
- "repositoryUrl": {
- "url": "https://github.com/ScrapeGraphAI/Scrapegraph-ai"
- },
- "licenses": [
- "spdx:MIT"
- ],
- "tags": [
- "web-scraping",
- "ai",
- "data-extraction",
- "python",
- "machine-learning",
- "open-source",
- "llm"
- ]
- }
- ],
- "funding": {
- "channels": [
- {
- "guid": "stripe",
- "type": "bank",
- "address": "https://buy.stripe.com/5kAaGW2E5gHH4vK3ce",
- "description": "Will accept direct bank transfers via Stripe in the address link, for more info contact us via email contact@scrapegraphai.com"
- }
- ],
- "plans": [
- {
- "guid": "developer-compensation",
- "status": "active",
- "name": "Developer Compensation",
- "description": "Provides financial support for developers working on maintenance, updates, and feature additions for the projects.",
- "amount": 3000,
- "currency": "USD",
- "frequency": "monthly",
- "channels": [
- "stripe"
- ]
- }
- ],
- "history": [
- {
- "year": 2024,
- "income": 15000,
- "expenses": 15000,
- "taxes": 0,
- "currency": "USD",
- "description": "From some companies that sponsor us in our Github repo page"
- }
- ]
- }
-}
diff --git a/pyproject.toml b/pyproject.toml
index 30b0694d..9beb2a5a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,12 +11,11 @@ authors = [
dependencies = [
"langchain>=0.3.0",
- "langchain-google-genai>=1.0.7",
"langchain-openai>=0.1.22",
"langchain-mistralai>=0.1.12",
"langchain_community>=0.2.9",
"langchain-aws>=0.1.3",
- "mistral-common>=1.4.0",
+ "langchain-ollama>=0.1.3",
"html2text>=2024.2.26",
"beautifulsoup4>=4.12.3",
"python-dotenv>=1.0.1",
@@ -26,16 +25,11 @@ dependencies = [
"free-proxy>=1.1.1",
"playwright>=1.43.0",
"undetected-playwright>=0.3.0",
- "langchain-ollama>=0.1.3",
"semchunk>=2.2.0",
- "qdrant-client>=1.11.3",
- "fastembed>=0.3.6",
-
- "transformers>=4.44.2",
"googlesearch-python>=1.2.5",
"async-timeout>=4.0.3",
"simpleeval>=1.0.0",
- "scrapegraph-py>=1.7.0"
+ "jsonschema>=4.23.0",
]
readme = "README.md"
@@ -73,30 +67,7 @@ requires-python = ">=3.10,<4.0"
[project.optional-dependencies]
burr = ["burr[start]==0.22.1"]
docs = ["sphinx==6.0", "furo==2024.5.6"]
-
-# Group 1: Other Language Models
-other-language-models = [
- "langchain-google-vertexai>=1.0.7",
- "langchain-fireworks>=0.1.3",
- "langchain-groq>=0.1.3",
- "langchain-anthropic>=0.1.11",
- "langchain-huggingface>=0.0.3",
- "langchain-nvidia-ai-endpoints>=0.1.6",
- "langchain_together>=0.2.0"
-]
-
-# Group 2: More Semantic Options
-more-semantic-options = [
- "graphviz>=0.20.3",
-]
-
-# Group 3: More Browser Options
-more-browser-options = [
- "browserbase>=0.3.0",
-]
-
-# Group 4: Surya Library
-screenshot_scraper = [
+ocr = [
"surya-ocr>=0.5.0",
"matplotlib>=3.7.2",
"ipywidgets>=8.1.0",
@@ -105,21 +76,13 @@ screenshot_scraper = [
[build-system]
requires = ["hatchling==1.26.3"]
-
build-backend = "hatchling.build"
-[dependency-groups]
-dev = [
- "burr[start]==0.22.1",
- "sphinx==6.0",
- "furo==2024.5.6",
-]
-
[tool.uv]
dev-dependencies = [
- "poethepoet>=0.31.1",
- "pytest==8.0.0",
- "pytest-mock==3.14.0",
+ "pytest>=8.0.0",
+ "pytest-mock>=3.14.0",
+ "pytest-asyncio>=0.25.0",
"pylint>=3.2.5",
]
diff --git a/scrapegraphai/builders/graph_builder.py b/scrapegraphai/builders/graph_builder.py
index e63b040b..74281556 100644
--- a/scrapegraphai/builders/graph_builder.py
+++ b/scrapegraphai/builders/graph_builder.py
@@ -4,7 +4,6 @@
from langchain_core.prompts import ChatPromptTemplate
from langchain.chains import create_extraction_chain
from langchain_community.chat_models import ErnieBotChat
-from langchain_google_genai import ChatGoogleGenerativeAI
from langchain_openai import ChatOpenAI
from ..helpers import nodes_metadata, graph_schema
@@ -70,6 +69,10 @@ def _create_llm(self, llm_config: dict):
if "gpt-" in llm_params["model"]:
return ChatOpenAI(llm_params)
elif "gemini" in llm_params["model"]:
+ try:
+ from langchain_google_genai import ChatGoogleGenerativeAI
+ except ImportError:
+ raise ImportError("langchain_google_genai is not installed. Please install it using 'pip install langchain-google-genai'.")
return ChatGoogleGenerativeAI(llm_params)
elif "ernie" in llm_params["model"]:
return ErnieBotChat(llm_params)
diff --git a/scrapegraphai/graphs/abstract_graph.py b/scrapegraphai/graphs/abstract_graph.py
index 476b4b5b..19fb308f 100644
--- a/scrapegraphai/graphs/abstract_graph.py
+++ b/scrapegraphai/graphs/abstract_graph.py
@@ -234,7 +234,7 @@ def _create_llm(self, llm_config: dict) -> object:
from langchain_together import ChatTogether
except ImportError:
raise ImportError("""The langchain_together module is not installed.
- Please install it using `pip install scrapegraphai[other-language-models]`.""")
+ Please install it using `pip install langchain-together`.""")
return ChatTogether(**llm_params)
elif model_provider == "nvidia":
@@ -242,7 +242,7 @@ def _create_llm(self, llm_config: dict) -> object:
from langchain_nvidia_ai_endpoints import ChatNVIDIA
except ImportError:
raise ImportError("""The langchain_nvidia_ai_endpoints module is not installed.
- Please install it using `pip install scrapegraphai[other-language-models]`.""")
+ Please install it using `pip install langchain-nvidia-ai-endpoints`.""")
return ChatNVIDIA(**llm_params)
except Exception as e:
diff --git a/scrapegraphai/graphs/smart_scraper_graph.py b/scrapegraphai/graphs/smart_scraper_graph.py
index e032eadd..8f13e340 100644
--- a/scrapegraphai/graphs/smart_scraper_graph.py
+++ b/scrapegraphai/graphs/smart_scraper_graph.py
@@ -3,8 +3,6 @@
"""
from typing import Optional
from pydantic import BaseModel
-from scrapegraph_py import Client
-from scrapegraph_py.logger import sgai_logger
from .base_graph import BaseGraph
from .abstract_graph import AbstractGraph
from ..nodes import (
@@ -67,7 +65,12 @@ def _create_graph(self) -> BaseGraph:
BaseGraph: A graph instance representing the web scraping workflow.
"""
if self.llm_model == "scrapegraphai/smart-scraper":
-
+ try:
+ from scrapegraph_py import Client
+ from scrapegraph_py.logger import sgai_logger
+ except ImportError:
+ raise ImportError("scrapegraph_py is not installed. Please install it using 'pip install scrapegraph-py'.")
+
sgai_logger.set_logging(level="INFO")
# Initialize the client with explicit API key
diff --git a/scrapegraphai/nodes/fetch_node.py b/scrapegraphai/nodes/fetch_node.py
index ba395857..e58cfb84 100644
--- a/scrapegraphai/nodes/fetch_node.py
+++ b/scrapegraphai/nodes/fetch_node.py
@@ -10,7 +10,6 @@
from ..utils.cleanup_html import cleanup_html
from ..docloaders import ChromiumLoader
from ..utils.convert_to_md import convert_to_md
-from ..utils.logging import get_logger
from .base_node import BaseNode
class FetchNode(BaseNode):
@@ -79,24 +78,6 @@ def __init__(
None if node_config is None else node_config.get("storage_state", None)
)
- def is_valid_url(self, source: str) -> bool:
- """
- Validates if the source string is a valid URL using regex.
-
- Parameters:
- source (str): The URL string to validate
-
- Raises:
- ValueError: If the URL is invalid
- """
- import re
-
- url_pattern = r"^https?://[^\s/$.?#].[^\s]*$"
- if not bool(re.match(url_pattern, source)):
- raise ValueError(
- f"Invalid URL format: {source}. URL must start with http(s):// and contain a valid domain."
- )
- return True
def execute(self, state):
"""
@@ -129,12 +110,9 @@ def execute(self, state):
elif self.input == "pdf_dir":
return state
- # For web sources, validate URL before proceeding
try:
- if self.is_valid_url(source):
- return self.handle_web_source(state, source)
+ return self.handle_web_source(state, source)
except ValueError as e:
- # Re-raise the exception from is_valid_url
raise
return self.handle_local_source(state, source)
diff --git a/scrapegraphai/nodes/rag_node.py b/scrapegraphai/nodes/rag_node.py
index b67c50e9..5154a354 100644
--- a/scrapegraphai/nodes/rag_node.py
+++ b/scrapegraphai/nodes/rag_node.py
@@ -3,8 +3,6 @@
"""
from typing import List, Optional
from .base_node import BaseNode
-from qdrant_client import QdrantClient
-from qdrant_client.models import PointStruct, VectorParams, Distance
class RAGNode(BaseNode):
"""
@@ -42,6 +40,14 @@ def __init__(
def execute(self, state: dict) -> dict:
self.logger.info(f"--- Executing {self.node_name} Node ---")
+ try:
+ import qdrant_client
+ except ImportError:
+ raise ImportError("qdrant_client is not installed. Please install it using 'pip install qdrant-client'.")
+
+ from qdrant_client import QdrantClient
+ from qdrant_client.models import PointStruct, VectorParams, Distance
+
if self.node_config.get("client_type") in ["memory", None]:
client = QdrantClient(":memory:")
elif self.node_config.get("client_type") == "local_db":
diff --git a/scrapegraphai/utils/screenshot_scraping/text_detection.py b/scrapegraphai/utils/screenshot_scraping/text_detection.py
index 16367a21..c109fca9 100644
--- a/scrapegraphai/utils/screenshot_scraping/text_detection.py
+++ b/scrapegraphai/utils/screenshot_scraping/text_detection.py
@@ -22,7 +22,7 @@ def detect_text(image, languages: list = ["en"]):
from surya.model.recognition.model import load_model as load_rec_model
from surya.model.recognition.processor import load_processor as load_rec_processor
except:
- raise ImportError("The dependencies for screenshot scraping are not installed. Please install them using `pip install scrapegraphai[screenshot_scraper]`.")
+ raise ImportError("The dependencies for OCR are not installed. Please install them using `pip install scrapegraphai[ocr]`.")
langs = languages
diff --git a/scrapegraphai/utils/tokenizers/tokenizer_mistral.py b/scrapegraphai/utils/tokenizers/tokenizer_mistral.py
index 22dae552..26cef934 100644
--- a/scrapegraphai/utils/tokenizers/tokenizer_mistral.py
+++ b/scrapegraphai/utils/tokenizers/tokenizer_mistral.py
@@ -1,10 +1,6 @@
"""
Tokenization utilities for Mistral models
"""
-from mistral_common.protocol.instruct.messages import UserMessage
-from mistral_common.protocol.instruct.request import ChatCompletionRequest
-from mistral_common.protocol.instruct.tool_calls import Function, Tool
-from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
from langchain_core.language_models.chat_models import BaseChatModel
from ..logging import get_logger
@@ -31,6 +27,13 @@ def num_tokens_mistral(text: str, llm_model:BaseChatModel) -> int:
raise NotImplementedError(f"The model provider you are using ('{llm_model}') "
"does not give us a model name so we cannot identify which encoding to use")
+ try:
+ from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
+ from mistral_common.protocol.instruct.messages import UserMessage
+ from mistral_common.protocol.instruct.request import ChatCompletionRequest
+ except ImportError:
+ raise ImportError("mistral_common is not installed. Please install it using 'pip install mistral-common'.")
+
tokenizer = MistralTokenizer.from_model(model)
tokenized = tokenizer.encode_chat_completion(
diff --git a/tests/graphs/abstract_graph_test.py b/tests/graphs/abstract_graph_test.py
index 27f5b660..8df4e24e 100644
--- a/tests/graphs/abstract_graph_test.py
+++ b/tests/graphs/abstract_graph_test.py
@@ -11,7 +11,6 @@
from scrapegraphai.models import OneApi, DeepSeek
from langchain_openai import ChatOpenAI, AzureChatOpenAI
from langchain_ollama import ChatOllama
-from langchain_google_genai import ChatGoogleGenerativeAI
from langchain_aws import ChatBedrock
@@ -68,7 +67,6 @@ class TestAbstractGraph:
"api_version": "no version",
"azure_endpoint": "https://www.example.com/"},
AzureChatOpenAI),
- ({"model": "google_genai/gemini-pro", "google_api_key": "google-key-test"}, ChatGoogleGenerativeAI),
({"model": "ollama/llama2"}, ChatOllama),
({"model": "oneapi/qwen-turbo", "api_key": "oneapi-api-key"}, OneApi),
({"model": "deepseek/deepseek-coder", "api_key": "deepseek-api-key"}, DeepSeek),
@@ -86,7 +84,6 @@ def test_create_llm_unknown_provider(self):
@pytest.mark.parametrize("llm_config, expected_model", [
({"model": "openai/gpt-3.5-turbo", "openai_api_key": "sk-randomtest001", "rate_limit": {"requests_per_second": 1}}, ChatOpenAI),
({"model": "azure_openai/gpt-3.5-turbo", "api_key": "random-api-key", "api_version": "no version", "azure_endpoint": "https://www.example.com/", "rate_limit": {"requests_per_second": 1}}, AzureChatOpenAI),
- ({"model": "google_genai/gemini-pro", "google_api_key": "google-key-test", "rate_limit": {"requests_per_second": 1}}, ChatGoogleGenerativeAI),
({"model": "ollama/llama2", "rate_limit": {"requests_per_second": 1}}, ChatOllama),
({"model": "oneapi/qwen-turbo", "api_key": "oneapi-api-key", "rate_limit": {"requests_per_second": 1}}, OneApi),
({"model": "deepseek/deepseek-coder", "api_key": "deepseek-api-key", "rate_limit": {"requests_per_second": 1}}, DeepSeek),
diff --git a/tests/graphs/smart_scraper_ollama_test.py b/tests/graphs/smart_scraper_ollama_test.py
index 179acc36..04862cd0 100644
--- a/tests/graphs/smart_scraper_ollama_test.py
+++ b/tests/graphs/smart_scraper_ollama_test.py
@@ -3,7 +3,6 @@
"""
import pytest
from scrapegraphai.graphs import SmartScraperGraph
-from transformers import GPT2TokenizerFast
@pytest.fixture
@@ -52,10 +51,3 @@ def test_get_execution_info(graph_config: dict):
assert graph_exec_info is not None
-
-def test_gpt2_tokenizer_loading():
- """
- Test loading of GPT2TokenizerFast
- """
- tokenizer = GPT2TokenizerFast.from_pretrained("gpt2")
- assert tokenizer is not None
diff --git a/uv.lock b/uv.lock
index 1ac1f62f..f3c7a03f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -190,24 +190,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
]
-[[package]]
-name = "anthropic"
-version = "0.39.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
- { name = "anyio" },
- { name = "distro" },
- { name = "httpx" },
- { name = "jiter" },
- { name = "pydantic" },
- { name = "sniffio" },
- { name = "typing-extensions" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/79/02/2ea51930009d7537c4648f51d1bb3202ec76704cbb39a2a863ab38bee3dd/anthropic-0.39.0.tar.gz", hash = "sha256:94671cc80765f9ce693f76d63a97ee9bef4c2d6063c044e983d21a2e262f63ba", size = 189339 }
-wheels = [
- { url = "https://files.pythonhosted.org/packages/94/61/2580eaa171cab20708d59d39cadd15f78a6c617759e8d0a12e18fe3302d1/anthropic-0.39.0-py3-none-any.whl", hash = "sha256:ea17093ae0ce0e1768b0c46501d6086b5bcd74ff39d68cd2d6396374e9de7c09", size = 198392 },
-]
-
[[package]]
name = "anyio"
version = "4.6.2.post1"
@@ -381,23 +363,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/11/9b/e7b4fc215c600c596b53ac6fcfe17d9c25998cf9751dd491013df472836c/botocore-1.35.70-py3-none-any.whl", hash = "sha256:ba8a4797cf7c5d9c237e67a62692f5146e895613fd3e6a43b00b66f3a8c7fc73", size = 13024196 },
]
-[[package]]
-name = "browserbase"
-version = "1.0.3"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
- { name = "anyio" },
- { name = "distro" },
- { name = "httpx" },
- { name = "pydantic" },
- { name = "sniffio" },
- { name = "typing-extensions" },
-]
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