My Actor 24
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1# First, specify the base Docker image.
2# You can see the Docker images from Apify at https://hub.docker.com/r/apify/.
3# You can also use any other image from Docker Hub.
4FROM apify/actor-python:3.11
5
6# Second, copy just requirements.txt into the actor image,
7# since it should be the only file that affects the dependency install in the next step,
8# in order to speed up the build
9COPY requirements.txt ./
10
11# Install the packages specified in requirements.txt,
12# Print the installed Python version, pip version
13# and all installed packages with their versions for debugging
14RUN echo "Python version:" \
15 && python --version \
16 && echo "Pip version:" \
17 && pip --version \
18 && echo "Installing dependencies:" \
19 && pip install -r requirements.txt \
20 && echo "All installed Python packages:" \
21 && pip freeze
22
23# Next, copy the remaining files and directories with the source code.
24# Since we do this after installing the dependencies, quick build will be really fast
25# for most source file changes.
26COPY . ./
27
28# Specify how to launch the source code of your actor.
29# By default, the "python3 -m src" command is run
30CMD ["python3", "-m", "src"].actor/actor.json
1{
2 "actorSpecification": 1,
3 "name": "my-actor-24",
4 "title": "Scrape single page in Python",
5 "description": "Scrape data from single page with provided URL.",
6 "version": "0.0",
7 "meta": {
8 "templateId": "python-start"
9 },
10 "input": "./input_schema.json",
11 "dockerfile": "./Dockerfile"
12}.actor/input_schema.json
1{
2 "title": "Scrape data from a web page",
3 "type": "object",
4 "schemaVersion": 1,
5 "properties": {
6 "url": {
7 "title": "URL of the page",
8 "type": "string",
9 "description": "The URL of website you want to get the data from.",
10 "editor": "textfield",
11 "prefill": "https://www.apify.com/"
12 }
13 },
14 "required": ["url"]
15}.dockerignore
1# configurations
2.idea
3
4# crawlee and apify storage folders
5apify_storage
6crawlee_storage
7storage
8
9# installed files
10.venv
11
12# git folder
13.git.editorconfig
1root = true
2
3[*]
4indent_style = space
5indent_size = 4
6charset = utf-8
7trim_trailing_whitespace = true
8insert_final_newline = true
9end_of_line = lf.gitignore
1# This file tells Git which files shouldn't be added to source control
2
3.idea
4.DS_Store
5
6apify_storage
7storage/*
8!storage/key_value_stores
9storage/key_value_stores/*
10!storage/key_value_stores/default
11storage/key_value_stores/default/*
12!storage/key_value_stores/default/INPUT.json
13
14.venv/
15.env/
16__pypackages__
17dist/
18build/
19*.egg-info/
20*.egg
21
22__pycache__
23
24.mypy_cache
25.dmypy.json
26dmypy.json
27.pytest_cache
28
29.scrapy
30*.logrequirements.txt
1# Add your dependencies here.
2# See https://pip.pypa.io/en/latest/reference/requirements-file-format/
3# for how to format them
4apify ~= 1.1.1
5beautifulsoup4 ~= 4.12.0
6requests ~= 2.31.0src/__init__.py
src/__main__.py
1import asyncio
2import logging
3
4from apify.log import ActorLogFormatter
5
6from .main import main
7
8# Set up logging of messages from the Apify SDK
9handler = logging.StreamHandler()
10handler.setFormatter(ActorLogFormatter())
11
12apify_client_logger = logging.getLogger('apify_client')
13apify_client_logger.setLevel(logging.INFO)
14apify_client_logger.addHandler(handler)
15
16apify_logger = logging.getLogger('apify')
17apify_logger.setLevel(logging.DEBUG)
18apify_logger.addHandler(handler)
19
20asyncio.run(main())src/main.py
1# Apify SDK - toolkit for building Apify Actors (Read more at https://docs.apify.com/sdk/python).
2from apify import Actor
3# Requests - library for making HTTP requests in Python (Read more at https://requests.readthedocs.io)
4import requests
5# Beautiful Soup - library for pulling data out of HTML and XML files (Read more at https://www.crummy.com/software/BeautifulSoup/bs4/doc)
6from bs4 import BeautifulSoup
7
8async def main():
9 async with Actor:
10 # Structure of input is defined in input_schema.json
11 actor_input = await Actor.get_input() or {}
12 url = actor_input.get('url')
13
14 # Fetch the HTML content of the page.
15 response = requests.get(url)
16
17 # Parse the HTML content using Beautiful Soup.
18 soup = BeautifulSoup(response.content, 'html.parser')
19
20 # Extract all headings from the page (tag name and text).
21 headings = []
22 for heading in soup.find_all(['h1', 'h2', 'h3', 'h4', 'h5', 'h6']):
23 heading_object = { 'level': heading.name, 'text': heading.text }
24 print('Extracted heading', heading_object)
25 headings.append(heading_object)
26
27 # Save headings to Dataset - a table-like storage.
28 await Actor.push_data(headings)Developer
Jan Kirchner Maintained by Apify
Actor Metrics
1 monthly user
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2 stars
>99% runs succeeded
Created in Aug 2023
Modified a year ago
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