/llms.txt Generator

.venv

.git
.mise.toml
.nvim.lua
storage

# The rest is copied from https://github.com/github/gitignore/blob/main/Python.gitignore

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
#   For a library or package, you might want to ignore these files since the code is
#   intended to run in multiple environments; otherwise, check them in:
.python-version

# pdm
#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
#   in version control.
#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
#  and can be added to the global gitignore or merged into this file.  For a more nuclear
#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/

storage

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
#  Usually these files are written by a python script from a template
#  before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
#   For a library or package, you might want to ignore these files since the code is
#   intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
#   However, in case of collaboration, if having platform-specific dependencies or dependencies
#   having no cross-platform support, pipenv may install dependencies that don't work, or not
#   install all needed dependencies.
#Pipfile.lock

# poetry
#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
#   This is especially recommended for binary packages to ensure reproducibility, and is more
#   commonly ignored for libraries.
#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
#   in version control.
#   https://pdm.fming.dev/#use-with-ide
.pdm.toml

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
#  and can be added to the global gitignore or merged into this file.  For a more nuclear
#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/

# docker
volumes/**

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   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

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.PHONY: clean install-dev lint type-check unit-test format

DIRS_WITH_CODE = src

clean:
	rm -rf .mypy_cache .pytest_cache .ruff_cache build dist htmlcov .coverage

install-dev:
	poetry install --all-extras

lint:
	poetry run ruff format --check $(DIRS_WITH_CODE)
	poetry run ruff check $(DIRS_WITH_CODE)

type-check:
	poetry run mypy $(DIRS_WITH_CODE)

format:
	poetry run ruff check --fix $(DIRS_WITH_CODE)
	poetry run ruff format $(DIRS_WITH_CODE)

unit-test:
	poetry run -C tests/ pytest

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chardet = ["chardet"]
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html5lib = ["html5lib"]
lxml = ["lxml"]

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[[package]]
name = "blessed"
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description = "Easy, practical library for making terminal apps, by providing an elegant, well-documented interface to Colors, Keyboard input, and screen Positioning capabilities."
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wcwidth = ">=0.1.4"

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[package.dependencies]
idna = ">=2.0"
multidict = ">=4.0"
propcache = ">=0.2.0"

[metadata]
lock-version = "2.0"
python-versions = "^3.12"
content-hash = "e741490d4b632d25e3c8932ed559ce3421aa2a284eb6df9de0f2b70a884241ab"

1cache-dir = "/tmp/.poetry-cache"
2
3[virtualenvs]
4in-project = true

1[tool.poetry]
2name = "apify-llmstxt-generator"
3version = "0.1.0"
4description = "/llms.txt generator"
5authors = ["Jakub Kopecky <jakub.kopecky@apify.com>"]
6readme = "README.md"
7package-mode = false
8
9[tool.poetry.dependencies]
10python = "^3.12"
11apify = "^2.1.0"
12beautifulsoup4 = "^4.12.3"
13
14[tool.poetry.group.dev.dependencies]
15ruff = "^0.8.6"
16mypy = "^1.14.1"
17types-beautifulsoup4 = "^4.12.0.20241020"
18pytest = "^8.3.4"
19pytest-asyncio = "^0.25.2"
20pytest-timeout = "^2.3.1"
21
22[build-system]
23requires = ["poetry-core"]
24build-backend = "poetry.core.masonry.api"
25
26[tool.pyright]
27venvPath = "."
28venv = ".venv"
29
30[tool.ruff]
31line-length = 120
32
33[tool.ruff.lint]
34select = ["ALL"]
35ignore = [
36    "ANN401",   # Dynamically typed expressions (typing.Any) are disallowed in {filename}
37    "ASYNC109", # Async function definition with a `timeout` parameter
38    "BLE001",   # Do not catch blind exception
39    "C901",     # `{name}` is too complex
40    "COM812",   # This rule may cause conflicts when used with the formatter
41    "D100",     # Missing docstring in public module
42    "D104",     # Missing docstring in public package
43    "D107",     # Missing docstring in `__init__`
44    "EM",       # flake8-errmsg
45    "G004",     # Logging statement uses f-string
46    "ISC001",   # This rule may cause conflicts when used with the formatter
47    "FIX",      # flake8-fixme
48    "PLR0911",  # Too many return statements
49    "PLR0913",  # Too many arguments in function definition
50    "PLR0915",  # Too many statements
51    "PTH",      # flake8-use-pathlib
52    "PYI034",   # `__aenter__` methods in classes like `{name}` usually return `self` at runtime
53    "PYI036",   # The second argument in `__aexit__` should be annotated with `object` or `BaseException | None`
54    "S102",     # Use of `exec` detected
55    "S105",     # Possible hardcoded password assigned to
56    "S106",     # Possible hardcoded password assigned to argument: "{name}"
57    "S301",     # `pickle` and modules that wrap it can be unsafe when used to deserialize untrusted data, possible security issue
58    "S303",     # Use of insecure MD2, MD4, MD5, or SHA1 hash function
59    "S311",     # Standard pseudo-random generators are not suitable for cryptographic purposes
60    "TD002",    # Missing author in TODO; try: `# TODO(<author_name>): ...` or `# TODO @<author_name>: ...
61    "TRY003",   # Avoid specifying long messages outside the exception class
62]
63
64[tool.ruff.format]
65quote-style = "single"
66indent-style = "space"
67
68[tool.ruff.lint.per-file-ignores]
69"**/__init__.py" = [
70    "F401", # Unused imports
71]
72"**/{tests}/*" = [
73    "D",       # Everything from the pydocstyle
74    "INP001",  # File {filename} is part of an implicit namespace package, add an __init__.py
75    "PLR2004", # Magic value used in comparison, consider replacing {value} with a constant variable
76    "S101",    # Use of assert detected
77    "SLF001",  # Private member accessed: `{name}`
78    "T20",     # flake8-print
79    "TRY301",  # Abstract `raise` to an inner function
80]
81"**/{docs}/**" = [
82    "D",      # Everything from the pydocstyle
83    "INP001", # File {filename} is part of an implicit namespace package, add an __init__.py
84    "F841",   # Local variable {variable} is assigned to but never used
85    "N999",   # Invalid module name
86]
87
88[tool.ruff.lint.flake8-quotes]
89docstring-quotes = "double"
90inline-quotes = "single"
91
92[tool.ruff.lint.flake8-type-checking]
93runtime-evaluated-base-classes = [
94    "pydantic.BaseModel",
95    "pydantic_settings.BaseSettings",
96]
97
98[tool.ruff.lint.flake8-builtins]
99builtins-ignorelist = ["id"]
100
101[tool.ruff.lint.pydocstyle]
102convention = "google"
103
104[tool.ruff.lint.pylint]
105max-branches = 18
106
107[tool.pytest.ini_options]
108addopts = "-ra"
109asyncio_mode = "auto"
110asyncio_default_fixture_loop_scope = "function"
111timeout = 1200
112
113[tool.mypy]
114python_version = "3.11"
115files = ["scripts", "src", "tests"]
116check_untyped_defs = true
117disallow_incomplete_defs = true
118disallow_untyped_calls = true
119disallow_untyped_decorators = true
120disallow_untyped_defs = true
121no_implicit_optional = true
122warn_redundant_casts = true
123warn_return_any = true
124warn_unreachable = true
125warn_unused_ignores = true
126
127[tool.mypy-sortedcollections]
128ignore_missing_imports = true

FROM apify/actor-python:3.12

WORKDIR /usr/src/app

COPY pyproject.toml poetry.lock pyproject.toml ./

ARG ACTOR_PATH_IN_DOCKER_CONTEXT
ENV ACTOR_PATH_IN_DOCKER_CONTEXT="${ACTOR_PATH_IN_DOCKER_CONTEXT}"

RUN echo "Python version:" \
    && python --version \
    && echo "Pip version:" \
    && pip --version \
    && echo "Installing Poetry:" \
    && pip install --no-cache-dir poetry~=1.8 \
    && echo "Installing dependencies:" \
    && poetry config virtualenvs.create false \
    && poetry install --no-interaction --no-ansi --without dev \
    && rm -rf /tmp/.poetry-cache \
    && echo "All installed Python packages:" \
    && pip freeze

COPY src ./src

# create non-root user
RUN useradd -m apify && \
    chown -R apify:apify /usr/src/app

USER apify

CMD ["python3", "-m", "src"]

{
  "actorSpecification": 1,
  "name": "llmstxt-generator",
  "title": "Generate /llms.txt for the given site",
  "description": "Generates /llms.txt for the given site",
  "version": "0.0",
  "buildTag": "latest",
  "input": "./input_schema.json",
  "storages": {
    "dataset": "./dataset_schema.json"
  },
  "dockerfile": "./Dockerfile"
}

{
  "actorSpecification": 1,
  "views": {
    "overview": {
      "title": "Overview",
      "transformation": {
        "fields": ["llms.txt"]
      },
      "display": {
        "component": "table",
        "properties": {
          "llms.txt": {
            "label": "llms.txt",
            "format": "text"
          }
        }
      }
    }
  }
}

{
  "title": "Generate /llms.txt for the given site",
  "type": "object",
  "schemaVersion": 1,
  "properties": {
    "startUrl": {
      "title": "Start URL",
      "type": "string",
      "description": "The URL from which the crawler will start to generate the /llms.txt file.",
      "editor": "textfield",
      "prefill": "https://docs.apify.com/cli/docs"
    },
    "maxCrawlDepth": {
      "title": "Max crawl depth",
      "type": "integer",
      "description": "The maximum depth of the crawl. Default is 1.",
      "editor": "number",
      "default": 1
    },
    "maxCrawlPages": {
      "title": "Max crawl pages",
      "type": "integer",
      "description": "The maximum number of pages to crawl. Default is 50.",
      "editor": "number",
      "default": 50
    },
    "crawlerType": {
        "title": "Crawler type",
        "type": "string",
        "enum": [
            "playwright:adaptive",
            "playwright:firefox",
            "playwright:chrome",
            "cheerio",
            "jsdom"
        ],
        "enumTitles": [
            "Adaptive switching between browser and raw HTTP - Fast and renders JavaScript if needed. This is the recommended option.",
            "Headless browser (Firefox+Playwright) - Reliable, renders JavaScript, best in avoiding blocking, but might be slow.",
            "Headless browser (Chrome+Playwright) - Deprecated, the crawler will use Firefox+Playwright instead.",
            "Raw HTTP client (Cheerio) - Fastest crawler, but cannot render JavaScript.",
            "Raw HTTP client with JavaScript (JSDOM) - Experimental, use at your own risk."
        ],
        "description": "Select the crawling engine:\n- **Headless web browser** - Useful for modern websites with anti-scraping protections and JavaScript rendering. It recognizes common blocking patterns like CAPTCHAs and automatically retries blocked requests through new sessions. However, running web browsers is more expensive as it requires more computing resources and is slower. It is recommended to use at least 8 GB of RAM.\n- **Stealthy web browser** (default) - Another headless web browser with anti-blocking measures enabled. Try this if you encounter bot protection while scraping. For best performance, use with Apify Proxy residential IPs. \n- **Adaptive switching between Chrome and raw HTTP client** - The crawler automatically switches between raw HTTP for static pages and Chrome browser (via Playwright) for dynamic pages, to get the maximum performance wherever possible. \n- **Raw HTTP client** - High-performance crawling mode that uses raw HTTP requests to fetch the pages. It is faster and cheaper, but it might not work on all websites.\n\nBeware that with the raw HTTP client or adaptive crawling mode, some features are not available, e.g. wait for dynamic content, maximum scroll height, or remove cookie warnings.",
        "default": "playwright:adaptive",
        "prefill": "playwright:adaptive"
    }
  },
  "required": ["startUrl"]
}

1

1import asyncio
2
3from .main import main
4
5# Execute the llms.txt generator actor entry point.
6asyncio.run(main())

1CRAWLER_CONFIG = {
2    'htmlTransformer': 'none',
3    'keepElementsCssSelector': 'meta[name="description"],meta[name="Description"]\ntitle',
4    # changed by get_crawler_actor_config with default value 1
5    'maxCrawlDepth': 0,  # 0 by default for root page only just in case
6    'maxCrawlPages': 10,  # 10 by default, just in case it is not set
7    'saveHtmlAsFile': True,
8    'startUrls': [
9        # is populated by get_crawler_actor_config
10    ],
11    'useSitemaps': False,
12}

1from __future__ import annotations
2
3import logging
4from typing import TYPE_CHECKING
5from urllib.parse import urlparse
6
7import bs4
8from bs4.element import NavigableString
9
10from src.crawler_config import CRAWLER_CONFIG
11
12if TYPE_CHECKING:
13    from apify_client.clients import KeyValueStoreClientAsync
14
15# not using Actor.log because pytest then throws a warning
16# about non existent event loop
17logger = logging.getLogger('apify')
18
19
20def normalize_url(url: str) -> str:
21    """Normalizes the URL by removing trailing slash."""
22    parsed_url = urlparse(url)
23    normalized = parsed_url._replace(path=parsed_url.path.rstrip('/'))
24    return normalized.geturl()
25
26
27def get_hostname_path_string_from_url(url: str) -> str:
28    """Extracts the hostname and path from the URL."""
29    parsed_url = urlparse(url)
30    if parsed_url.hostname is None or parsed_url.path is None:
31        return url
32    return f'{parsed_url.hostname}{parsed_url.path}'
33
34
35def is_description_suitable(description: str | None) -> bool:
36    """Checks if the description is suitable for the `llms.txt` file.
37
38    Currently only cheks if the description does not contain newlines.
39    This was created because of the https://docs.apify.com/api/v2.
40    The page that contains whole MD document in the meta tag description.
41    """
42    if description is None:
43        return False
44    return '\n' not in description
45
46
47async def get_description_from_kvstore(kvstore: KeyValueStoreClientAsync, html_url: str) -> str | None:
48    """Extracts the description from the HTML content stored in the KV store."""
49    store_id = html_url.split('records/')[-1]
50    if not (record := await kvstore.get_record(store_id)):
51        logger.warning(f'Failed to get record with id "{store_id}"!')
52        return None
53    if not (html := record.get('value')) or not isinstance(html, str):
54        logger.warning(f'Invalid HTML content for record with id "{store_id}"!')
55        return None
56
57    return get_description_from_html(html)
58
59
60def get_crawler_actor_config(
61    url: str, max_crawl_depth: int = 1, max_crawl_pages: int = 50, crawler_type: str = 'playwright:adaptive'
62) -> dict:
63    """Creates actor input configuration for the `apify/website-content-crawler` actor."""
64    config = CRAWLER_CONFIG
65    config['startUrls'] = [{'url': url, 'method': 'GET'}]
66    config['maxCrawlDepth'] = max_crawl_depth
67    config['maxCrawlPages'] = max_crawl_pages
68    config['crawlerType'] = crawler_type
69
70    return config
71
72
73def get_description_from_html(html: str) -> None | str:
74    """Extracts the description from the HTML content.
75
76    Uses meta 'description' or 'Description' from the html.
77    """
78    soup = bs4.BeautifulSoup(html, 'html.parser')
79    description = soup.find('meta', {'name': 'description'})
80    if description is None:
81        description = soup.find('meta', {'name': 'Description'})
82
83    if description is None:
84        return None
85
86    if isinstance(description, NavigableString):
87        return description.getText()
88
89    content = description.get('content')
90    if isinstance(content, list):
91        return ''.join(content)
92
93    return content

1"""This module defines the main entry point for the llsm.txt generator actor."""
2
3import asyncio
4import logging
5from datetime import timedelta
6from typing import TYPE_CHECKING
7from urllib.parse import urlparse
8
9from apify import Actor
10
11from .helpers import get_crawler_actor_config, get_description_from_kvstore, is_description_suitable, normalize_url
12from .renderer import render_llms_txt
13
14if TYPE_CHECKING:
15    from src.mytypes import LLMSData, SectionDict
16
17logger = logging.getLogger('apify')
18
19# minimum for the llms.txt generator to process the results
20MIN_GENERATOR_RUN_SECS = 60
21
22
23async def main() -> None:
24    """Main entry point for the llms.txt generator actor."""
25    async with Actor:
26        actor_input = await Actor.get_input()
27        url = actor_input.get('startUrl')
28        if url is None:
29            msg = 'Missing "startUrl" attribute in input!'
30            raise ValueError(msg)
31        url_normalized = normalize_url(url)
32
33        max_crawl_depth = int(actor_input.get('maxCrawlDepth', 1))
34        max_crawl_pages = int(actor_input.get('maxCrawlPages', 50))
35        crawler_type = actor_input.get('crawlerType', 'playwright:adaptive')
36
37        if run_id := Actor.config.actor_run_id:
38            if not (run := await Actor.apify_client.run(run_id).get()):
39                msg = 'Failed to get the actor run details!'
40                raise RuntimeError(msg)
41
42            if not (timeout_secs := run.get('options', {}).get('timeoutSecs')):
43                msg = 'Missing "timeoutSecs" attribute in actor run details!'
44                raise ValueError(msg)
45
46            # crawler timeout is set to timeout - MIN_GENERATOR_RUN_SECS or timeout if tha time is too low
47            timeout_crawler = timedelta(
48                seconds=(
49                    timeout_secs - MIN_GENERATOR_RUN_SECS
50                    if timeout_secs >= MIN_GENERATOR_RUN_SECS * 2
51                    else timeout_secs
52                )
53            )
54        # if run is local, do not set the timeout
55        else:
56            logger.warning('Running the actor locally, not setting the crawler timeout!')
57            timeout_crawler = None
58
59        # call apify/website-content-crawler actor to get the html content
60        logger.info(f'Starting the "apify/website-content-crawler" actor for URL: {url}')
61        await Actor.set_status_message('Starting the crawler...')
62        actor_run_details = await Actor.call(
63            'apify/website-content-crawler',
64            get_crawler_actor_config(
65                url, max_crawl_depth=max_crawl_depth, max_crawl_pages=max_crawl_pages, crawler_type=crawler_type
66            ),
67            # memory limit for the crawler actor so free tier can use this actor
68            memory_mbytes=4096,
69            wait=timedelta(seconds=5),
70            timeout=timeout_crawler,
71        )
72        if actor_run_details is None:
73            msg = 'Failed to start the "apify/website-content-crawler" actor!'
74            raise RuntimeError(msg)
75
76        run_client = Actor.apify_client.run(actor_run_details.id)
77        last_status_msg = None
78        while (run := await run_client.get()) and run.get('status') == 'RUNNING':
79            status_msg = run.get('statusMessage')
80            if status_msg != last_status_msg:
81                logger.info(f'Crawler status: {status_msg}')
82                if status_msg is not None:
83                    await Actor.set_status_message(status_msg)
84                last_status_msg = status_msg
85            await asyncio.sleep(5)
86
87        if not (run := await run_client.wait_for_finish()):
88            msg = 'Failed to get the "apify/website-content-crawler" actor run details!'
89            raise RuntimeError(msg)
90        status_msg = run.get('statusMessage')
91        logger.info(f'Crawler status: {status_msg}')
92        await Actor.set_status_message('Crawler finished! Processing the results...')
93
94        run_store = run_client.key_value_store()
95        run_dataset = run_client.dataset()
96
97        hostname = urlparse(url).hostname
98        root_title = hostname
99
100        data: LLMSData = {'title': root_title, 'description': None, 'details': None, 'sections': []}
101        # add all pages to index section for now
102        section: SectionDict = {'title': 'Index', 'links': []}
103
104        is_dataset_empty = True
105        async for item in run_dataset.iterate_items():
106            is_dataset_empty = False
107            item_url = item.get('url')
108            logger.info(f'Processing page: {item_url}')
109            if item_url is None:
110                logger.warning('Missing "url" attribute in dataset item!')
111                continue
112            html_url = item.get('htmlUrl')
113            if html_url is None:
114                logger.warning('Missing "htmlUrl" attribute in dataset item!')
115                continue
116
117            is_root = normalize_url(item_url) == url_normalized
118            if is_root:
119                description = await get_description_from_kvstore(run_store, html_url)
120                data['description'] = description if is_description_suitable(description) else None
121                continue
122
123            metadata = item.get('metadata', {})
124            description = metadata.get('description')
125            title = metadata.get('title')
126
127            # extract description from HTML, crawler might not have extracted it
128            if description is None:
129                description = await get_description_from_kvstore(run_store, html_url)
130
131            if not is_description_suitable(description):
132                description = None
133
134            section['links'].append({'url': item_url, 'title': title, 'description': description})
135
136        if is_dataset_empty:
137            msg = (
138                'No pages were crawled successfully!'
139                ' Please check the "apify/website-content-crawler" actor run for more details.'
140            )
141            raise RuntimeError(msg)
142
143        if section['links']:
144            data['sections'].append(section)
145
146        output = render_llms_txt(data)
147
148        # save into kv-store as a file to be able to download it
149        store = await Actor.open_key_value_store()
150        await store.set_value('llms.txt', output)
151        logger.info('Saved the "llms.txt" file into the key-value store!')
152
153        await Actor.push_data({'llms.txt': output})
154        logger.info('Pushed the "llms.txt" file to the dataset!')
155
156        await Actor.set_status_message('Finished! Saved the "llms.txt" file into the key-value store and dataset...')