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wehub-resource-sync
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# OpenAI API Configuration
OPENAI_API_KEY=your-openai-api-key-here
# Optional Configurations
MAX_TOKENS=4000
MODEL_NAME=gpt-4-1106-preview
TEMPERATURE=0.7
# XML Scraper Settings
XPATH_TIMEOUT=30
VALIDATE_XML=true
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# XML Scraper Graph Example
This example demonstrates how to use Scrapegraph-ai to extract and process XML data from web sources.
## Features
- XML data extraction
- XPath querying
- Data transformation
- Schema validation
## Setup
1. Install required dependencies
2. Copy `.env.example` to `.env`
3. Configure your API keys in the `.env` file
## Usage
```python
from scrapegraphai.graphs import XmlScraperGraph
graph = XmlScraperGraph()
xml_data = graph.scrape("https://example.com/feed.xml")
```
## Environment Variables
Required environment variables:
- `OPENAI_API_KEY`: Your OpenAI API key
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<?xml version="1.0"?>
<catalog>
<book id="bk101">
<author>Gambardella, Matthew</author>
<title>XML Developer's Guide</title>
<genre>Computer</genre>
<price>44.95</price>
<publish_date>2000-10-01</publish_date>
<description>An in-depth look at creating applications
with XML.</description>
</book>
<book id="bk102">
<author>Ralls, Kim</author>
<title>Midnight Rain</title>
<genre>Fantasy</genre>
<price>5.95</price>
<publish_date>2000-12-16</publish_date>
<description>A former architect battles corporate zombies,
an evil sorceress, and her own childhood to become queen
of the world.</description>
</book>
<book id="bk103">
<author>Corets, Eva</author>
<title>Maeve Ascendant</title>
<genre>Fantasy</genre>
<price>5.95</price>
<publish_date>2000-11-17</publish_date>
<description>After the collapse of a nanotechnology
society in England, the young survivors lay the
foundation for a new society.</description>
</book>
<book id="bk104">
<author>Corets, Eva</author>
<title>Oberon's Legacy</title>
<genre>Fantasy</genre>
<price>5.95</price>
<publish_date>2001-03-10</publish_date>
<description>In post-apocalypse England, the mysterious
agent known only as Oberon helps to create a new life
for the inhabitants of London. Sequel to Maeve
Ascendant.</description>
</book>
<book id="bk105">
<author>Corets, Eva</author>
<title>The Sundered Grail</title>
<genre>Fantasy</genre>
<price>5.95</price>
<publish_date>2001-09-10</publish_date>
<description>The two daughters of Maeve, half-sisters,
battle one another for control of England. Sequel to
Oberon's Legacy.</description>
</book>
<book id="bk106">
<author>Randall, Cynthia</author>
<title>Lover Birds</title>
<genre>Romance</genre>
<price>4.95</price>
<publish_date>2000-09-02</publish_date>
<description>When Carla meets Paul at an ornithology
conference, tempers fly as feathers get ruffled.</description>
</book>
<book id="bk107">
<author>Thurman, Paula</author>
<title>Splish Splash</title>
<genre>Romance</genre>
<price>4.95</price>
<publish_date>2000-11-02</publish_date>
<description>A deep sea diver finds true love twenty
thousand leagues beneath the sea.</description>
</book>
<book id="bk108">
<author>Knorr, Stefan</author>
<title>Creepy Crawlies</title>
<genre>Horror</genre>
<price>4.95</price>
<publish_date>2000-12-06</publish_date>
<description>An anthology of horror stories about roaches,
centipedes, scorpions and other insects.</description>
</book>
<book id="bk109">
<author>Kress, Peter</author>
<title>Paradox Lost</title>
<genre>Science Fiction</genre>
<price>6.95</price>
<publish_date>2000-11-02</publish_date>
<description>After an inadvertant trip through a Heisenberg
Uncertainty Device, James Salway discovers the problems
of being quantum.</description>
</book>
<book id="bk110">
<author>O'Brien, Tim</author>
<title>Microsoft .NET: The Programming Bible</title>
<genre>Computer</genre>
<price>36.95</price>
<publish_date>2000-12-09</publish_date>
<description>Microsoft's .NET initiative is explored in
detail in this deep programmer's reference.</description>
</book>
<book id="bk111">
<author>O'Brien, Tim</author>
<title>MSXML3: A Comprehensive Guide</title>
<genre>Computer</genre>
<price>36.95</price>
<publish_date>2000-12-01</publish_date>
<description>The Microsoft MSXML3 parser is covered in
detail, with attention to XML DOM interfaces, XSLT processing,
SAX and more.</description>
</book>
<book id="bk112">
<author>Galos, Mike</author>
<title>Visual Studio 7: A Comprehensive Guide</title>
<genre>Computer</genre>
<price>49.95</price>
<publish_date>2001-04-16</publish_date>
<description>Microsoft Visual Studio 7 is explored in depth,
looking at how Visual Basic, Visual C++, C#, and ASP+ are
integrated into a comprehensive development
environment.</description>
</book>
</catalog>
@@ -0,0 +1,58 @@
"""
Basic example of scraping pipeline using XMLScraperMultiGraph from XML documents
"""
import os
from scrapegraphai.graphs import XMLScraperMultiGraph
from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
# ************************************************
# Read the XML file
# ************************************************
FILE_NAME = "inputs/books.xml"
curr_dir = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(curr_dir, FILE_NAME)
with open(file_path, "r", encoding="utf-8") as file:
text = file.read()
# ************************************************
# Define the configuration for the graph
# ************************************************
graph_config = {
"llm": {
"model": "ollama/llama3",
"temperature": 0,
"format": "json", # Ollama needs the format to be specified explicitly
# "model_tokens": 2000, # set context length arbitrarily
"base_url": "http://localhost:11434",
},
"verbose": True,
}
# ************************************************
# Create the XMLScraperMultiGraph instance and run it
# ************************************************
xml_scraper_graph = XMLScraperMultiGraph(
prompt="List me all the authors, title and genres of the books",
source=[text, text], # Pass the content of the file, not the file object
config=graph_config,
)
result = xml_scraper_graph.run()
print(result)
# ************************************************
# Get graph execution info
# ************************************************
graph_exec_info = xml_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))
# Save to json or csv
convert_to_csv(result, "result")
convert_to_json(result, "result")
@@ -0,0 +1,61 @@
"""
Basic example of scraping pipeline using XMLScraperGraph from XML documents
"""
import os
from dotenv import load_dotenv
from scrapegraphai.graphs import XMLScraperGraph
from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
load_dotenv()
# ************************************************
# Read the XML file
# ************************************************
FILE_NAME = "inputs/books.xml"
curr_dir = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(curr_dir, FILE_NAME)
with open(file_path, "r", encoding="utf-8") as file:
text = file.read()
# ************************************************
# Define the configuration for the graph
# ************************************************
graph_config = {
"llm": {
"model": "ollama/llama3",
"temperature": 0,
# "model_tokens": 2000, # set context length arbitrarily
"base_url": "http://localhost:11434",
},
"verbose": True,
}
# ************************************************
# Create the XMLScraperGraph instance and run it
# ************************************************
xml_scraper_graph = XMLScraperGraph(
prompt="List me all the authors, title and genres of the books",
source=text, # Pass the content of the file, not the file object
config=graph_config,
)
result = xml_scraper_graph.run()
print(result)
# ************************************************
# Get graph execution info
# ************************************************
graph_exec_info = xml_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))
# Save to json or csv
convert_to_csv(result, "result")
convert_to_json(result, "result")
@@ -0,0 +1,120 @@
<?xml version="1.0"?>
<catalog>
<book id="bk101">
<author>Gambardella, Matthew</author>
<title>XML Developer's Guide</title>
<genre>Computer</genre>
<price>44.95</price>
<publish_date>2000-10-01</publish_date>
<description>An in-depth look at creating applications
with XML.</description>
</book>
<book id="bk102">
<author>Ralls, Kim</author>
<title>Midnight Rain</title>
<genre>Fantasy</genre>
<price>5.95</price>
<publish_date>2000-12-16</publish_date>
<description>A former architect battles corporate zombies,
an evil sorceress, and her own childhood to become queen
of the world.</description>
</book>
<book id="bk103">
<author>Corets, Eva</author>
<title>Maeve Ascendant</title>
<genre>Fantasy</genre>
<price>5.95</price>
<publish_date>2000-11-17</publish_date>
<description>After the collapse of a nanotechnology
society in England, the young survivors lay the
foundation for a new society.</description>
</book>
<book id="bk104">
<author>Corets, Eva</author>
<title>Oberon's Legacy</title>
<genre>Fantasy</genre>
<price>5.95</price>
<publish_date>2001-03-10</publish_date>
<description>In post-apocalypse England, the mysterious
agent known only as Oberon helps to create a new life
for the inhabitants of London. Sequel to Maeve
Ascendant.</description>
</book>
<book id="bk105">
<author>Corets, Eva</author>
<title>The Sundered Grail</title>
<genre>Fantasy</genre>
<price>5.95</price>
<publish_date>2001-09-10</publish_date>
<description>The two daughters of Maeve, half-sisters,
battle one another for control of England. Sequel to
Oberon's Legacy.</description>
</book>
<book id="bk106">
<author>Randall, Cynthia</author>
<title>Lover Birds</title>
<genre>Romance</genre>
<price>4.95</price>
<publish_date>2000-09-02</publish_date>
<description>When Carla meets Paul at an ornithology
conference, tempers fly as feathers get ruffled.</description>
</book>
<book id="bk107">
<author>Thurman, Paula</author>
<title>Splish Splash</title>
<genre>Romance</genre>
<price>4.95</price>
<publish_date>2000-11-02</publish_date>
<description>A deep sea diver finds true love twenty
thousand leagues beneath the sea.</description>
</book>
<book id="bk108">
<author>Knorr, Stefan</author>
<title>Creepy Crawlies</title>
<genre>Horror</genre>
<price>4.95</price>
<publish_date>2000-12-06</publish_date>
<description>An anthology of horror stories about roaches,
centipedes, scorpions and other insects.</description>
</book>
<book id="bk109">
<author>Kress, Peter</author>
<title>Paradox Lost</title>
<genre>Science Fiction</genre>
<price>6.95</price>
<publish_date>2000-11-02</publish_date>
<description>After an inadvertant trip through a Heisenberg
Uncertainty Device, James Salway discovers the problems
of being quantum.</description>
</book>
<book id="bk110">
<author>O'Brien, Tim</author>
<title>Microsoft .NET: The Programming Bible</title>
<genre>Computer</genre>
<price>36.95</price>
<publish_date>2000-12-09</publish_date>
<description>Microsoft's .NET initiative is explored in
detail in this deep programmer's reference.</description>
</book>
<book id="bk111">
<author>O'Brien, Tim</author>
<title>MSXML3: A Comprehensive Guide</title>
<genre>Computer</genre>
<price>36.95</price>
<publish_date>2000-12-01</publish_date>
<description>The Microsoft MSXML3 parser is covered in
detail, with attention to XML DOM interfaces, XSLT processing,
SAX and more.</description>
</book>
<book id="bk112">
<author>Galos, Mike</author>
<title>Visual Studio 7: A Comprehensive Guide</title>
<genre>Computer</genre>
<price>49.95</price>
<publish_date>2001-04-16</publish_date>
<description>Microsoft Visual Studio 7 is explored in depth,
looking at how Visual Basic, Visual C++, C#, and ASP+ are
integrated into a comprehensive development
environment.</description>
</book>
</catalog>
@@ -0,0 +1,61 @@
"""
Basic example of scraping pipeline using XMLScraperMultiGraph from XML documents
"""
import os
from dotenv import load_dotenv
from scrapegraphai.graphs import XMLScraperMultiGraph
from scrapegraphai.utils import convert_to_csv, convert_to_json, prettify_exec_info
load_dotenv()
# ************************************************
# Read the XML file
# ************************************************
FILE_NAME = "inputs/books.xml"
curr_dir = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(curr_dir, FILE_NAME)
with open(file_path, "r", encoding="utf-8") as file:
text = file.read()
# ************************************************
# Define the configuration for the graph
# ************************************************
openai_key = os.getenv("OPENAI_APIKEY")
graph_config = {
"llm": {
"api_key": openai_key,
"model": "openai/gpt-4o",
},
"verbose": True,
"headless": False,
}
# ************************************************
# Create the XMLScraperMultiGraph instance and run it
# ************************************************
xml_scraper_graph = XMLScraperMultiGraph(
prompt="List me all the authors, title and genres of the books",
source=[text, text], # Pass the content of the file, not the file object
config=graph_config,
)
result = xml_scraper_graph.run()
print(result)
# ************************************************
# Get graph execution info
# ************************************************
graph_exec_info = xml_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))
# Save to json or csv
convert_to_csv(result, "result")
convert_to_json(result, "result")
@@ -0,0 +1,57 @@
"""
Basic example of scraping pipeline using XMLScraperGraph from XML documents
"""
import os
from dotenv import load_dotenv
from scrapegraphai.graphs import XMLScraperGraph
from scrapegraphai.utils import prettify_exec_info
load_dotenv()
# ************************************************
# Read the XML file
# ************************************************
FILE_NAME = "inputs/books.xml"
curr_dir = os.path.dirname(os.path.realpath(__file__))
file_path = os.path.join(curr_dir, FILE_NAME)
with open(file_path, "r", encoding="utf-8") as file:
text = file.read()
# ************************************************
# Define the configuration for the graph
# ************************************************
openai_key = os.getenv("OPENAI_API_KEY")
graph_config = {
"llm": {
"api_key": openai_key,
"model": "openai/gpt-4o",
},
"verbose": False,
}
# ************************************************
# Create the XMLScraperGraph instance and run it
# ************************************************
xml_scraper_graph = XMLScraperGraph(
prompt="List me all the authors, title and genres of the books",
source=text, # Pass the content of the file, not the file object
config=graph_config,
)
result = xml_scraper_graph.run()
print(result)
# ************************************************
# Get graph execution info
# ************************************************
graph_exec_info = xml_scraper_graph.get_execution_info()
print(prettify_exec_info(graph_exec_info))