ScrapeGraphAI · VinciGit00 · May 15, 2024 · Apr 17, 2024 · Apr 24, 2024 · Apr 25, 2024
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
@@ -14,11 +14,8 @@ jobs:
         run: |
           sudo apt update
           sudo apt install -y git
-      - name: Install Python Env and Poetry
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.9'
-      - run: pip install poetry
+      - name: Install the latest version of rye
+        uses: eifinger/setup-rye@v3
       - name: Install Node Env
         uses: actions/setup-node@v4
         with:
@@ -30,8 +27,8 @@ jobs:
           persist-credentials: false
       - name: Build app
         run: |
-          poetry install
-          poetry build
+          rye sync --no-lock
+          rye build
         id: build_cache
         if: success()
       - name: Cache build

diff --git a/.gitignore b/.gitignore
@@ -31,4 +31,6 @@ examples/graph_examples/ScrapeGraphAI_generated_graph
 examples/**/result.csv
 examples/**/result.json
 main.py
+*.python-version
+*.lock
 
diff --git a/.python-version b/.python-version
@@ -0,0 +1 @@
+3.9.19
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,3 +1,137 @@
+## [1.2.0](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.1.0...v1.2.0) (2024-05-15)
+
+
+### Features
+
+* add finalize_node() ([6e7283e](https://github.com/VinciGit00/Scrapegraph-ai/commit/6e7283ed8fc42408d718e8776f9fd3856960ffdb))
+
+## [1.1.0](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.0.1...v1.1.0) (2024-05-15)
+
+
+### Features
+
+* add turboscraper (alfa) ([51aa109](https://github.com/VinciGit00/Scrapegraph-ai/commit/51aa109e420a71101664906f0849f39ea2a3f91a))
+* new search_graph ([67d5fbf](https://github.com/VinciGit00/Scrapegraph-ai/commit/67d5fbf816275940c89802e033b9e7796436c410))
+
+
+### Docs
+
+* **rye:** replaced poetry with rye ([efb781f](https://github.com/VinciGit00/Scrapegraph-ai/commit/efb781f950b23f442706d54a578230aba9e9796a))
+
+## [1.0.1](https://github.com/VinciGit00/Scrapegraph-ai/compare/v1.0.0...v1.0.1) (2024-05-15)
+
+
+### Bug Fixes
+
+* **searchgraph:** used shallow copy to serialize obj ([096b665](https://github.com/VinciGit00/Scrapegraph-ai/commit/096b665c0152593c19402e555c0850cdd3b2a2c0))
+
+## [1.0.0](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.11.1...v1.0.0) (2024-05-15)
+
+
+### ⚠ BREAKING CHANGES
+
+* **package manager:** move from poetry to rye
+
+### chore
+
+* **package manager:** move from poetry to rye ([8fc2510](https://github.com/VinciGit00/Scrapegraph-ai/commit/8fc2510b3704990ff96f5f74abb5b800bca9af98)), closes [#198](https://github.com/VinciGit00/Scrapegraph-ai/issues/198)
+
+
+### Docs
+
+* **main-readme:** fixed some typos ([78d1940](https://github.com/VinciGit00/Scrapegraph-ai/commit/78d19402351f18b3ed3a9d7e4200ad22ad0d064a))
+
+## [0.11.1](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.11.0...v0.11.1) (2024-05-14)
+
+
+### Bug Fixes
+
+* **docs:** requirements-dev ([b0a67ba](https://github.com/VinciGit00/Scrapegraph-ai/commit/b0a67ba387e7d3a3dca7b82fe3e5b39c6a34c3ba))
+
+## [0.11.0](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.10.1...v0.11.0) (2024-05-14)
+
+
+### Features
+
+* **parallel-exeuction:** add asyncio event loop dispatcher with semaphore for parallel graph instances ([627cbee](https://github.com/VinciGit00/Scrapegraph-ai/commit/627cbeeb2096eb4cd5da45015d37fceb7fe7840a))
+* **webdriver-backend:** add dynamic import scripts from module and file ([db2234b](https://github.com/VinciGit00/Scrapegraph-ai/commit/db2234bf5d2f2589b080cd4136f33c4f4443bdfb))
+* add gpt-4o ([52a4a3b](https://github.com/VinciGit00/Scrapegraph-ai/commit/52a4a3b22d6871b14801a5edbd28aa32a1a2580d)), closes [#232](https://github.com/VinciGit00/Scrapegraph-ai/issues/232)
+* add new prompt info ([e2350ed](https://github.com/VinciGit00/Scrapegraph-ai/commit/e2350eda6249d8e121344d12c92645a3887a5b76))
+* **proxy-rotation:** add parse (IP address) or search (from broker) functionality for proxy rotation ([2170131](https://github.com/VinciGit00/Scrapegraph-ai/commit/217013181da06abe8d71d9db70e809ea4ebd8236))
+* add support for deepseek-chat ([156b67b](https://github.com/VinciGit00/Scrapegraph-ai/commit/156b67b91e1798f67082123e2c0087d358a32d4d)), closes [#222](https://github.com/VinciGit00/Scrapegraph-ai/issues/222)
+* Add support for passing pdf path as source ([f10f3b1](https://github.com/VinciGit00/Scrapegraph-ai/commit/f10f3b1438e0c625b7f2fa52faeb5a6c12116113))
+* **omni-search:** added omni search graph and updated docs ([fcb3abb](https://github.com/VinciGit00/Scrapegraph-ai/commit/fcb3abb01d505f634309f9ae3c686bbcaab65107))
+* added proxy rotation ([0c36a7e](https://github.com/VinciGit00/Scrapegraph-ai/commit/0c36a7ec1f32ee073d9e0f534a2cb97aba3d7a1f))
+* **safe-web-driver:** enchanced the original `AsyncChromiumLoader` web driver with proxy protection and flexible kwargs and backend ([768719c](https://github.com/VinciGit00/Scrapegraph-ai/commit/768719cce80953fa6cbe283e442420116c438f16))
+* **gpt-4o:** image to text single node test ([90955ca](https://github.com/VinciGit00/Scrapegraph-ai/commit/90955ca52f1e3277072e843fb8d578deea27d09f))
+* revert fetch_node ([864aa91](https://github.com/VinciGit00/Scrapegraph-ai/commit/864aa91326c360992326e04811d272e55eac8355))
+* **batchsize:** tested different batch sizes and systems ([a8d5e7d](https://github.com/VinciGit00/Scrapegraph-ai/commit/a8d5e7db050e15306780ffca47f998ebaf5c1216))
+* update info ([4ed0fb8](https://github.com/VinciGit00/Scrapegraph-ai/commit/4ed0fb89c3e6068190a7775bedcb6ae65ba59d18))
+* **omni-scraper:** working OmniScraperGraph with images ([a296927](https://github.com/VinciGit00/Scrapegraph-ai/commit/a2969276245cbedb97741975ea707dab2695f71e))
+
+
+### Bug Fixes
+
+* **pytest:** add dependency for mocking testing functions ([2f4fd45](https://github.com/VinciGit00/Scrapegraph-ai/commit/2f4fd45700ebf1db0c429b5a6249386d1a111615))
+* add json integration ([0ab31c3](https://github.com/VinciGit00/Scrapegraph-ai/commit/0ab31c3fdbd56652ed306e60109301f60e8042d3))
+* Augment the information getting fetched from a webpage ([f8ce3d5](https://github.com/VinciGit00/Scrapegraph-ai/commit/f8ce3d5916eab926275d59d4d48b0d89ec9cd43f))
+* bug for claude ([d0167de](https://github.com/VinciGit00/Scrapegraph-ai/commit/d0167dee71779a3c1e1e042e17a41134b93b3c78))
+* **fetch_node:** bug in handling local files ([a6e1813](https://github.com/VinciGit00/Scrapegraph-ai/commit/a6e1813ddd36cc8d7c915e6ea0525835d64d10a2))
+* **chromium-loader:** ensure it subclasses langchain's base loader ([b54d984](https://github.com/VinciGit00/Scrapegraph-ai/commit/b54d984c134c8cbc432fd111bb161d3d53cf4a85))
+* fixed bugs for csv and xml ([324e977](https://github.com/VinciGit00/Scrapegraph-ai/commit/324e977b853ecaa55bac4bf86e7cd927f7f43d0d))
+* limit python version to < 3.12 ([a37fbbc](https://github.com/VinciGit00/Scrapegraph-ai/commit/a37fbbcbcfc3ddd0cc66f586f279676b52c4abfe))
+* **proxy-rotation:** removed duplicated arg and passed the loader_kwarhs correctly to the node ([1e9a564](https://github.com/VinciGit00/Scrapegraph-ai/commit/1e9a56461632999c5dc09f5aa930c14c954025ad))
+* **fetch-node:** removed isSoup from default ([0c15947](https://github.com/VinciGit00/Scrapegraph-ai/commit/0c1594737f878ed5672f4c889fdf9b4e0d7ec49a))
+* **proxy-rotation:** removed max_shape duplicate ([5d6d996](https://github.com/VinciGit00/Scrapegraph-ai/commit/5d6d996e8f6132101d4c3af835d74f0674baffa1))
+* **asyncio:** replaced deepcopy with copy due to serialization problems ([dedc733](https://github.com/VinciGit00/Scrapegraph-ai/commit/dedc73304755c2d540a121d143173f60fb448bbb))
+
+
+### chore
+
+* update models_tokens.py with new model configurations ([d9752b1](https://github.com/VinciGit00/Scrapegraph-ai/commit/d9752b1619c6f86fdc407c898c8c9b443a50cb07))
+
+
+### Docs
+
+* add diagram showing general structure/flow of the library ([13ae918](https://github.com/VinciGit00/Scrapegraph-ai/commit/13ae9180ac5e7ef11dad1a210cf8790e797397dd))
+* **refactor:** added proxy-rotation usage and refactor readthedocs ([e256b75](https://github.com/VinciGit00/Scrapegraph-ai/commit/e256b758b2ada641f97b23b1cf6c6b0174563d8a))
+* **refactor:** changed example ([c7ec114](https://github.com/VinciGit00/Scrapegraph-ai/commit/c7ec114274da64f0b61cee80afe908a36ad26b78))
+* **concurrent:** refactor theme and added benchmarck searchgraph ([ced2bbc](https://github.com/VinciGit00/Scrapegraph-ai/commit/ced2bbcdc9672396e3c8afdc1f7f65c4194d29fd))
+* update overview diagram with more models ([b441b30](https://github.com/VinciGit00/Scrapegraph-ai/commit/b441b30a5c60dda105964f69bd4cef06825f5c74))
+
+
+### CI
+
+* **release:** 0.10.0-beta.3 [skip ci] ([ad32298](https://github.com/VinciGit00/Scrapegraph-ai/commit/ad32298e70fc626fd62c897e153b806f79dba9b9))
+* **release:** 0.10.0-beta.4 [skip ci] ([548bff9](https://github.com/VinciGit00/Scrapegraph-ai/commit/548bff9d77c8b4d2aadee40e966a06cc9d7fd4ab))
+* **release:** 0.10.0-beta.5 [skip ci] ([28c9dce](https://github.com/VinciGit00/Scrapegraph-ai/commit/28c9dce7cbda49750172bafd7767fa48a0c33859))
+* **release:** 0.10.0-beta.6 [skip ci] ([460d292](https://github.com/VinciGit00/Scrapegraph-ai/commit/460d292af21fabad3fdd2b66110913ccee22ba91))
+* **release:** 0.11.0-beta.1 [skip ci] ([63c0dd9](https://github.com/VinciGit00/Scrapegraph-ai/commit/63c0dd93723c2ab55df0a66b555e7fbb4716ea77))
+* **release:** 0.11.0-beta.10 [skip ci] ([218b8ed](https://github.com/VinciGit00/Scrapegraph-ai/commit/218b8ede8a22400fd7ba5d1e302ac270f800e67d)), closes [#232](https://github.com/VinciGit00/Scrapegraph-ai/issues/232)
+* **release:** 0.11.0-beta.11 [skip ci] ([8727d03](https://github.com/VinciGit00/Scrapegraph-ai/commit/8727d033841b2a30405f12f19f11cd649ffaf4f1))
+* **release:** 0.11.0-beta.2 [skip ci] ([7ae50c0](https://github.com/VinciGit00/Scrapegraph-ai/commit/7ae50c035e87be9a3d7b5eef42232dae6e345914))
+* **release:** 0.11.0-beta.3 [skip ci] ([106fb12](https://github.com/VinciGit00/Scrapegraph-ai/commit/106fb125316aa3c6dce889963fa423d11bc2c491)), closes [#222](https://github.com/VinciGit00/Scrapegraph-ai/issues/222)
+* **release:** 0.11.0-beta.4 [skip ci] ([4ccddda](https://github.com/VinciGit00/Scrapegraph-ai/commit/4ccddda5ebe8d1b12136571733416ed9f819e4db))
+* **release:** 0.11.0-beta.5 [skip ci] ([353382b](https://github.com/VinciGit00/Scrapegraph-ai/commit/353382b4d33511259f28afd72ef08fe8f682b688))
+* **release:** 0.11.0-beta.6 [skip ci] ([2724d3d](https://github.com/VinciGit00/Scrapegraph-ai/commit/2724d3dd5f7a7dd308e6d441cd8e7a5e085c30c4))
+* **release:** 0.11.0-beta.7 [skip ci] ([f0f7373](https://github.com/VinciGit00/Scrapegraph-ai/commit/f0f73736f75fc28c7bdeb4016ebaca07a40c8c59))
+* **release:** 0.11.0-beta.8 [skip ci] ([fa4edb4](https://github.com/VinciGit00/Scrapegraph-ai/commit/fa4edb47033121b81cdcc1c910f0386cba5a2f2e))
+* **release:** 0.11.0-beta.9 [skip ci] ([d2877d8](https://github.com/VinciGit00/Scrapegraph-ai/commit/d2877d89e5949a01cc90c80028f58735f1fb522e))
+
+## [0.11.0-beta.11](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.11.0-beta.10...v0.11.0-beta.11) (2024-05-14)
+
+
+### Features
+
+* **omni-search:** added omni search graph and updated docs ([fcb3abb](https://github.com/VinciGit00/Scrapegraph-ai/commit/fcb3abb01d505f634309f9ae3c686bbcaab65107))
+* **gpt-4o:** image to text single node test ([90955ca](https://github.com/VinciGit00/Scrapegraph-ai/commit/90955ca52f1e3277072e843fb8d578deea27d09f))
+* **omni-scraper:** working OmniScraperGraph with images ([a296927](https://github.com/VinciGit00/Scrapegraph-ai/commit/a2969276245cbedb97741975ea707dab2695f71e))
+
+
+### Bug Fixes
+
+* **fetch_node:** bug in handling local files ([a6e1813](https://github.com/VinciGit00/Scrapegraph-ai/commit/a6e1813ddd36cc8d7c915e6ea0525835d64d10a2))
+
 ## [0.11.0-beta.10](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.11.0-beta.9...v0.11.0-beta.10) (2024-05-14)
 
 

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

diff --git a/docs/assets/omniscrapergraph.png b/docs/assets/omniscrapergraph.png
diff --git a/docs/assets/omnisearchgraph.png b/docs/assets/omnisearchgraph.png
diff --git a/docs/source/getting_started/installation.rst b/docs/source/getting_started/installation.rst
@@ -25,11 +25,13 @@ The library is available on PyPI, so it can be installed using the following com
 
    It is higly recommended to install the library in a virtual environment (conda, venv, etc.)
 
-If your clone the repository, you can install the library using `poetry <https://python-poetry.org/docs/>`_:
+If you clone the repository, you can install the library using `rye <https://rye-up.com/>`_. Follow the installation instruction from the website and then run:
 
 .. code-block:: bash
 
-   poetry install
+   rye pin 3.10
+   rye sync
+   rye build
 
 Additionally on Windows when using WSL
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

diff --git a/docs/source/scrapers/graph_config.rst b/docs/source/scrapers/graph_config.rst
@@ -10,6 +10,8 @@ Some interesting ones are:
 - `headless`: If set to `False`, the web browser will be opened on the URL requested and close right after the HTML is fetched.
 - `max_results`: The maximum number of results to be fetched from the search engine. Useful in `SearchGraph`.
 - `output_path`: The path where the output files will be saved. Useful in `SpeechGraph`.
+- `loader_kwargs`: A dictionary with additional parameters to be passed to the `Loader` class, such as `proxy`.
+- `max_images`: The maximum number of images to be analyzed. Useful in `OmniScraperGraph` and `OmniSearchGraph`.
 
 Proxy Rotation
 ^^^^^^^^^^^^^^

diff --git a/docs/source/scrapers/graphs.rst b/docs/source/scrapers/graphs.rst
@@ -3,16 +3,80 @@ Graphs
 
 Graphs are scraping pipelines aimed at solving specific tasks. They are composed by nodes which can be configured individually to address different aspects of the task (fetching data, extracting information, etc.).
 
-There are currently three types of graphs available in the library:
+There are three types of graphs available in the library:
 
 - **SmartScraperGraph**: one-page scraper that requires a user-defined prompt and a URL (or local file) to extract information from using LLM.
 - **SearchGraph**: multi-page scraper that only requires a user-defined prompt to extract information from a search engine using LLM. It is built on top of SmartScraperGraph.
 - **SpeechGraph**: text-to-speech pipeline that generates an answer as well as a requested audio file. It is built on top of SmartScraperGraph and requires a user-defined prompt and a URL (or local file).
 
+With the introduction of `GPT-4o`, two new powerful graphs have been created:
+
+- **OmniScraperGraph**: similar to `SmartScraperGraph`, but with the ability to scrape images and describe them.
+- **OmniSearchGraph**: similar to `SearchGraph`, but with the ability to scrape images and describe them.
+
 .. note::
 
    They all use a graph configuration to set up LLM models and other parameters. To find out more about the configurations, check the :ref:`LLM` and :ref:`Configuration` sections.
 
+OmniScraperGraph
+^^^^^^^^^^^^^^^^
+
+.. image:: ../../assets/omniscrapergraph.png
+   :align: center
+   :width: 90%
+   :alt: OmniScraperGraph
+|
+
+First we define the graph configuration, which includes the LLM model and other parameters. Then we create an instance of the OmniScraperGraph class, passing the prompt, source, and configuration as arguments. Finally, we run the graph and print the result.
+It will fetch the data from the source and extract the information based on the prompt in JSON format.
+
+.. code-block:: python
+
+   from scrapegraphai.graphs import OmniScraperGraph
+
+   graph_config = {
+      "llm": {...},
+   }
+
+   omni_scraper_graph = OmniScraperGraph(
+      prompt="List me all the projects with their titles and image links and descriptions.",
+      source="https://perinim.github.io/projects",
+      config=graph_config
+   )
+
+   result = omni_scraper_graph.run()
+   print(result)
+
+OmniSearchGraph
+^^^^^^^^^^^^^^^
+
+.. image:: ../../assets/omnisearchgraph.png
+   :align: center
+   :width: 80%
+   :alt: OmniSearchGraph
+|
+
+Similar to OmniScraperGraph, we define the graph configuration, create multiple of the OmniSearchGraph class, and run the graph.
+It will create a search query, fetch the first n results from the search engine, run n OmniScraperGraph instances, and return the results in JSON format.
+
+.. code-block:: python
+
+   from scrapegraphai.graphs import OmniSearchGraph
+
+   graph_config = {
+      "llm": {...},
+   }
+
+   # Create the OmniSearchGraph instance
+   omni_search_graph = OmniSearchGraph(
+      prompt="List me all Chioggia's famous dishes and describe their pictures.",
+      config=graph_config
+   )
+
+   # Run the graph
+   result = omni_search_graph.run()
+   print(result)
+
 SmartScraperGraph
 ^^^^^^^^^^^^^^^^^