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The /llms.txt Generator 🕸️📄 extracts website content to create an llms.txt file for AI apps 🤖✨ like LLM fine-tuning and indexing. Output is available 📥 in the Key-Value Store for easy download and integration into workflows. 🚀
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.venv
.git.mise.toml.nvim.luastorage
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# 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/
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# 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
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Copyright 2025 Apify Technologies s.r.o.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License..PHONY: clean install-dev lint type-check unit-test format
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format: poetry run ruff check --fix $(DIRS_WITH_CODE) poetry run ruff format $(DIRS_WITH_CODE)
unit-test: poetry run -C tests/ pytest# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
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3[virtualenvs]4in-project = true1[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 = false8
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 = 12032
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` parameter38 "BLE001", # Do not catch blind exception39 "C901", # `{name}` is too complex40 "COM812", # This rule may cause conflicts when used with the formatter41 "D100", # Missing docstring in public module42 "D104", # Missing docstring in public package43 "D107", # Missing docstring in `__init__`44 "EM", # flake8-errmsg45 "G004", # Logging statement uses f-string46 "ISC001", # This rule may cause conflicts when used with the formatter47 "FIX", # flake8-fixme48 "PLR0911", # Too many return statements49 "PLR0913", # Too many arguments in function definition50 "PLR0915", # Too many statements51 "PTH", # flake8-use-pathlib52 "PYI034", # `__aenter__` methods in classes like `{name}` usually return `self` at runtime53 "PYI036", # The second argument in `__aexit__` should be annotated with `object` or `BaseException | None`54 "S102", # Use of `exec` detected55 "S105", # Possible hardcoded password assigned to56 "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 issue58 "S303", # Use of insecure MD2, MD4, MD5, or SHA1 hash function59 "S311", # Standard pseudo-random generators are not suitable for cryptographic purposes60 "TD002", # Missing author in TODO; try: `# TODO(<author_name>): ...` or `# TODO @<author_name>: ...61 "TRY003", # Avoid specifying long messages outside the exception class62]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 imports71]72"**/{tests}/*" = [73 "D", # Everything from the pydocstyle74 "INP001", # File {filename} is part of an implicit namespace package, add an __init__.py75 "PLR2004", # Magic value used in comparison, consider replacing {value} with a constant variable76 "S101", # Use of assert detected77 "SLF001", # Private member accessed: `{name}`78 "T20", # flake8-print79 "TRY301", # Abstract `raise` to an inner function80]81"**/{docs}/**" = [82 "D", # Everything from the pydocstyle83 "INP001", # File {filename} is part of an implicit namespace package, add an __init__.py84 "F841", # Local variable {variable} is assigned to but never used85 "N999", # Invalid module name86]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 = 18106
107[tool.pytest.ini_options]108addopts = "-ra"109asyncio_mode = "auto"110asyncio_default_fixture_loop_scope = "function"111timeout = 1200112
113[tool.mypy]114python_version = "3.11"115files = ["scripts", "src", "tests"]116check_untyped_defs = true117disallow_incomplete_defs = true118disallow_untyped_calls = true119disallow_untyped_decorators = true120disallow_untyped_defs = true121no_implicit_optional = true122warn_redundant_casts = true123warn_return_any = true124warn_unreachable = true125warn_unused_ignores = true126
127[tool.mypy-sortedcollections]128ignore_missing_imports = trueFROM apify/actor-python:3.12
WORKDIR /usr/src/app
COPY pyproject.toml poetry.lock pyproject.toml ./
ARG ACTOR_PATH_IN_DOCKER_CONTEXTENV 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 userRUN 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 asyncio2
3from .main import main4
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 15 'maxCrawlDepth': 0, # 0 by default for root page only just in case6 'maxCrawlPages': 10, # 10 by default, just in case it is not set7 'saveHtmlAsFile': True,8 'startUrls': [9 # is populated by get_crawler_actor_config10 ],11 'useSitemaps': False,12}1from __future__ import annotations2
3import logging4from typing import TYPE_CHECKING5from urllib.parse import urlparse6
7import bs48from bs4.element import NavigableString9
10from src.crawler_config import CRAWLER_CONFIG11
12if TYPE_CHECKING:13 from apify_client.clients import KeyValueStoreClientAsync14
15# not using Actor.log because pytest then throws a warning16# about non existent event loop17logger = 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 url32 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 False44 return '\n' not in description45
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 None53 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 None56
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_CONFIG65 config['startUrls'] = [{'url': url, 'method': 'GET'}]66 config['maxCrawlDepth'] = max_crawl_depth67 config['maxCrawlPages'] = max_crawl_pages68 config['crawlerType'] = crawler_type69
70 return config71
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 None85
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 content1"""This module defines the main entry point for the llsm.txt generator actor."""2
3import asyncio4import logging5from datetime import timedelta6from typing import TYPE_CHECKING7from urllib.parse import urlparse8
9from apify import Actor10
11from .helpers import get_crawler_actor_config, get_description_from_kvstore, is_description_suitable, normalize_url12from .renderer import render_llms_txt13
14if TYPE_CHECKING:15 from src.mytypes import LLMSData, SectionDict16
17logger = logging.getLogger('apify')18
19# minimum for the llms.txt generator to process the results20MIN_GENERATOR_RUN_SECS = 6021
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 low47 timeout_crawler = timedelta(48 seconds=(49 timeout_secs - MIN_GENERATOR_RUN_SECS50 if timeout_secs >= MIN_GENERATOR_RUN_SECS * 251 else timeout_secs52 )53 )54 # if run is local, do not set the timeout55 else:56 logger.warning('Running the actor locally, not setting the crawler timeout!')57 timeout_crawler = None58
59 # call apify/website-content-crawler actor to get the html content60 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_type66 ),67 # memory limit for the crawler actor so free tier can use this actor68 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 = None78 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_msg85 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).hostname98 root_title = hostname99
100 data: LLMSData = {'title': root_title, 'description': None, 'details': None, 'sections': []}101 # add all pages to index section for now102 section: SectionDict = {'title': 'Index', 'links': []}103
104 is_dataset_empty = True105 async for item in run_dataset.iterate_items():106 is_dataset_empty = False107 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 continue112 html_url = item.get('htmlUrl')113 if html_url is None:114 logger.warning('Missing "htmlUrl" attribute in dataset item!')115 continue116
117 is_root = normalize_url(item_url) == url_normalized118 if is_root:119 description = await get_description_from_kvstore(run_store, html_url)120 data['description'] = description if is_description_suitable(description) else None121 continue122
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 it128 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 = None133
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 it149 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...')1from __future__ import annotations2
3from typing import TypedDict4
5
6class LinkDict(TypedDict):7 """Dictionary representing a single link in the `llms.txt` file."""8
9 url: str10 title: str11 description: str | None12
13
14class SectionDict(TypedDict):15 """Dictionary representing a single section in the `llms.txt` file."""16
17 title: str18 links: list[LinkDict]19
20
21class LLMSData(TypedDict):22 """Dictionary representing the data structure of the `llms.txt` file."""23
24 title: str25 description: str | None26 details: str | None27 sections: list[SectionDict]1from src.mytypes import LLMSData2
3
4def render_llms_txt(data: LLMSData) -> str:5 """Generates llms.txt file from the provided data.6
7 Example data:8 {9 'title': 'Example',10 'description': 'Example description',11 'details': 'Example details',12 'sections': [13 {14 'title': 'Section 1',15 'links': [16 {'url': 'https://example.com', 'title': 'Example', 'description': 'Example description'},17 ],18 },19 ],20 }21 Example output:22 # Example23
24 > Example description25
26 Example details27
28 ## Section 129
30 - [Example](https://example.com): Example description31
32 """33 result = [f"# {data['title']}\n\n"]34
35 if data.get('description'):36 result.append(f"> {data['description']}\n\n")37
38 if data.get('details'):39 result.append(f"{data['details']}\n\n")40
41 for section in data.get('sections', []):42 result.append(f"## {section['title']}\n\n")43 for link in section.get('links', []):44 link_str = f"- [{link['title']}]({link['url']})"45 if link.get('description'):46 link_str += f": {link['description']}"47 result.append(f'{link_str}\n')48
49 return ''.join(result)1import sys2from pathlib import Path3
4parent_dir = Path(__file__).parent5src_dir = parent_dir.parent / 'src'6
7sys.path.append(str(src_dir))1from src.helpers import get_hostname_path_string_from_url, normalize_url2
3
4def test_normalize_url() -> None:5 url = 'https://example.com/'6 url_normalized = 'https://example.com'7 assert normalize_url(url) == url_normalized8
9def test_get_hostname_path_string_from_url() -> None:10 url = 'https://example.com/path'11 assert get_hostname_path_string_from_url(url) == 'example.com/path'12
13 url2 = 'https://example.com/path/'14 assert get_hostname_path_string_from_url(url2) == 'example.com/path/'1from src.helpers import get_description_from_html2
3
4def test_description_meta_tag() -> None:5 html = '<html><head><meta name="description" content="testdesc"></head><body></body></html>'6 assert get_description_from_html(html) == 'testdesc'7
8
9def test_description_meta_tag_with_capital_d() -> None:10 html = '<html><head><meta name="Description" content="testdec"></head><body></body></html>'11 assert get_description_from_html(html) == 'testdec'12
13
14def test_no_description_meta_tag() -> None:15 html = '<html><head></head><body></body></html>'16 assert get_description_from_html(html) is None1from typing import TYPE_CHECKING2
3from src.renderer import render_llms_txt4
5if TYPE_CHECKING:6 from src.mytypes import LLMSData7
8
9def test_render_llms_txt() -> None:10 data: LLMSData = {11 'title': 'docs.apify.com',12 'details': None,13 'description': None,14 'sections': [15 {16 'title': 'Index',17 'links': [18 {19 'url': 'https://docs.apify.com/academy',20 'title': 'Web Scraping Academy', 'description': 'Learn everything about web scraping.'21 }22 ]23 }24 ]25 }26
27 expected_output = """# docs.apify.com28
29## Index30
31- [Web Scraping Academy](https://docs.apify.com/academy): Learn everything about web scraping.32"""33
34 assert render_llms_txt(data) == expected_output35
36def test_render_llms_txt_with_description() -> None:37 data: LLMSData = {38 'title': 'docs.apify.com',39 'description': 'Apify documentation',40 'details': None,41 'sections': [42 {43 'title': 'Index',44 'links': [45 {46 'url': 'https://docs.apify.com/academy',47 'title': 'Web Scraping Academy', 'description': 'Learn everything about web scraping.'48 }49 ]50 }51 ]52 }53
54 expected_output = """# docs.apify.com55
56> Apify documentation57
58## Index59
60- [Web Scraping Academy](https://docs.apify.com/academy): Learn everything about web scraping.61"""62
63 assert render_llms_txt(data) == expected_output64
65def test_render_llms_txt_with_description_and_details() -> None:66 data: LLMSData = {67 'title': 'docs.apify.com',68 'description': 'Apify documentation',69 'details': 'This is the documentation for Apify',70 'sections': [71 {72 'title': 'Index',73 'links': [74 {75 'url': 'https://docs.apify.com/academy',76 'title': 'Web Scraping Academy', 'description': 'Learn everything about web scraping.'77 }78 ]79 }80 ]81 }82
83 expected_output = """# docs.apify.com84
85> Apify documentation86
87This is the documentation for Apify88
89## Index90
91- [Web Scraping Academy](https://docs.apify.com/academy): Learn everything about web scraping.92"""93
94 assert render_llms_txt(data) == expected_output95
96def test_render_llms_txt_with_no_sections() -> None:97 data: LLMSData = {98 'title': 'docs.apify.com',99 'description': 'Apify documentation',100 'details': None,101 'sections': []102 }103
104 expected_output = """# docs.apify.com105
106> Apify documentation107
108"""109
110 assert render_llms_txt(data) == expected_output# This workflow will install Python dependencies, run tests and lint with a variety of Python versions# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
name: Python Lint, Check, Test
on: push: branches: ["master"] pull_request: branches: ["master"]
jobs: build: runs-on: ubuntu-latest timeout-minutes: 20 strategy: fail-fast: false matrix: python-version: ["3.12"]
steps: - name: Checkout repository uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: python-version: ${{ matrix.python-version }}
- name: Install Poetry run: pip install poetry
- name: Install dependencies run: make install-dev
- name: Run lint run: make lint
- name: Run type checks run: make type-check
- name: Tests (unit) run: make unit-test