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"""Beautiful Soup Web scraper.""" | |
import logging | |
from typing import Any, Callable, Dict, List, Optional, Tuple | |
from urllib.parse import urljoin | |
from llama_index.core.bridge.pydantic import PrivateAttr | |
from llama_index.core.readers.base import BasePydanticReader | |
from llama_index.core.schema import Document | |
logger = logging.getLogger(__name__) | |
def _substack_reader(soup: Any, **kwargs) -> Tuple[str, Dict[str, Any]]: | |
"""Extract text from Substack blog post.""" | |
extra_info = { | |
"Title of this Substack post": soup.select_one("h1.post-title").getText(), | |
"Subtitle": soup.select_one("h3.subtitle").getText(), | |
"Author": soup.select_one("span.byline-names").getText(), | |
} | |
text = soup.select_one("div.available-content").getText() | |
return text, extra_info | |
def _readthedocs_reader(soup: Any, url: str, **kwargs) -> Tuple[str, Dict[str, Any]]: | |
"""Extract text from a ReadTheDocs documentation site.""" | |
import requests | |
from bs4 import BeautifulSoup | |
links = soup.find_all("a", {"class": "reference internal"}) | |
rtd_links = [] | |
for link in links: | |
rtd_links.append(link["href"]) | |
for i in range(len(rtd_links)): | |
if not rtd_links[i].startswith("http"): | |
rtd_links[i] = urljoin(url, rtd_links[i]) | |
texts = [] | |
for doc_link in rtd_links: | |
page_link = requests.get(doc_link) | |
soup = BeautifulSoup(page_link.text, "html.parser") | |
try: | |
text = soup.find(attrs={"role": "main"}).get_text() | |
except IndexError: | |
text = None | |
if text: | |
texts.append("\n".join([t for t in text.split("\n") if t])) | |
return "\n".join(texts), {} | |
def _readmedocs_reader( | |
soup: Any, url: str, include_url_in_text: bool = True | |
) -> Tuple[str, Dict[str, Any]]: | |
"""Extract text from a ReadMe documentation site.""" | |
import requests | |
from bs4 import BeautifulSoup | |
links = soup.find_all("a") | |
docs_links = [link["href"] for link in links if "/docs/" in link["href"]] | |
docs_links = list(set(docs_links)) | |
for i in range(len(docs_links)): | |
if not docs_links[i].startswith("http"): | |
docs_links[i] = urljoin(url, docs_links[i]) | |
texts = [] | |
for doc_link in docs_links: | |
page_link = requests.get(doc_link) | |
soup = BeautifulSoup(page_link.text, "html.parser") | |
try: | |
text = "" | |
for element in soup.find_all("article", {"id": "content"}): | |
for child in element.descendants: | |
if child.name == "a" and child.has_attr("href"): | |
if include_url_in_text: | |
url = child.get("href") | |
if url is not None and "edit" in url: | |
text += child.text | |
else: | |
text += ( | |
f"{child.text} (Reference url: {doc_link}{url}) " | |
) | |
elif child.string and child.string.strip(): | |
text += child.string.strip() + " " | |
except IndexError: | |
text = None | |
logger.error(f"Could not extract text from {doc_link}") | |
continue | |
texts.append("\n".join([t for t in text.split("\n") if t])) | |
return "\n".join(texts), {} | |
def _gitbook_reader( | |
soup: Any, url: str, include_url_in_text: bool = True | |
) -> Tuple[str, Dict[str, Any]]: | |
"""Extract text from a ReadMe documentation site.""" | |
import requests | |
from bs4 import BeautifulSoup | |
links = soup.find_all("a") | |
docs_links = [link["href"] for link in links if "/docs/" in link["href"]] | |
docs_links = list(set(docs_links)) | |
for i in range(len(docs_links)): | |
if not docs_links[i].startswith("http"): | |
docs_links[i] = urljoin(url, docs_links[i]) | |
texts = [] | |
for doc_link in docs_links: | |
page_link = requests.get(doc_link) | |
soup = BeautifulSoup(page_link.text, "html.parser") | |
try: | |
text = "" | |
text = soup.find("main") | |
clean_text = clean_text = ", ".join([tag.get_text() for tag in text]) | |
except IndexError: | |
text = None | |
logger.error(f"Could not extract text from {doc_link}") | |
continue | |
texts.append(clean_text) | |
return "\n".join(texts), {} | |
DEFAULT_WEBSITE_EXTRACTOR: Dict[ | |
str, Callable[[Any, str], Tuple[str, Dict[str, Any]]] | |
] = { | |
"substack.com": _substack_reader, | |
"readthedocs.io": _readthedocs_reader, | |
"readme.com": _readmedocs_reader, | |
"gitbook.io": _gitbook_reader, | |
} | |
class BeautifulSoupWebReader(BasePydanticReader): | |
"""BeautifulSoup web page reader. | |
Reads pages from the web. | |
Requires the `bs4` and `urllib` packages. | |
Args: | |
website_extractor (Optional[Dict[str, Callable]]): A mapping of website | |
hostname (e.g. google.com) to a function that specifies how to | |
extract text from the BeautifulSoup obj. See DEFAULT_WEBSITE_EXTRACTOR. | |
""" | |
is_remote: bool = True | |
_website_extractor: Dict[str, Callable] = PrivateAttr() | |
def __init__(self, website_extractor: Optional[Dict[str, Callable]] = None) -> None: | |
self._website_extractor = website_extractor or DEFAULT_WEBSITE_EXTRACTOR | |
super().__init__() | |
def class_name(cls) -> str: | |
"""Get the name identifier of the class.""" | |
return "BeautifulSoupWebReader" | |
def load_data( | |
self, | |
urls: List[str], | |
custom_hostname: Optional[str] = None, | |
include_url_in_text: Optional[bool] = True, | |
) -> List[Document]: | |
"""Load data from the urls. | |
Args: | |
urls (List[str]): List of URLs to scrape. | |
custom_hostname (Optional[str]): Force a certain hostname in the case | |
a website is displayed under custom URLs (e.g. Substack blogs) | |
include_url_in_text (Optional[bool]): Include the reference url in the text of the document | |
Returns: | |
List[Document]: List of documents. | |
""" | |
from urllib.parse import urlparse | |
import requests | |
from bs4 import BeautifulSoup | |
documents = [] | |
for url in urls: | |
try: | |
page = requests.get(url) | |
except Exception: | |
raise ValueError(f"One of the inputs is not a valid url: {url}") | |
hostname = custom_hostname or urlparse(url).hostname or "" | |
soup = BeautifulSoup(page.content, "html.parser") | |
data = "" | |
extra_info = {"URL": url} | |
if hostname in self._website_extractor: | |
data, metadata = self._website_extractor[hostname]( | |
soup=soup, url=url, include_url_in_text=include_url_in_text | |
) | |
extra_info.update(metadata) | |
else: | |
data = soup.getText() | |
documents.append(Document(text=data, id_=url, extra_info=extra_info)) | |
return documents | |