ScrapeServ: Simple URL to screenshots server

You run the API as a web server on your machine, you send it a URL, and you get back the website data as a file plus screenshots of the site. Simple as.

This project was made to support Abbey, an AI platform. Its author is Gordon Kamer. Please leave a star if you like the project!

Some highlights:

Scrolls through the page and takes screenshots of different sections
Runs in a docker container
Browser-based (will run websites' Javascript)
Gives you the HTTP status code and headers from the first request
Automatically handles redirects
Handles download links properly
Tasks are processed in a queue with configurable memory allocation
Blocking API
Zero state or other complexity

This web scraper is resource intensive but higher quality than many alternatives. Websites are scraped using Playwright, which launches a Firefox browser context for each job.

Setup

You should have Docker and docker compose installed.

Clone this repo
Run docker compose up (a docker-compose.yml file is provided for your use)

...and the service will be available at http://localhost:5006. See the Usage section below for details on how to interact with it.

Usage

From Your App

Look in client for a full reference client implementation in Python. Just send an HTTP request and process the response according to the API reference below.

From the Command Line on Mac/Linux

You can use cURL and ripmime to interact with the API from the command line. Ripmime processes the multipart/mixed HTTP response and puts the downloaded files into a folder. Install ripmime using brew install ripmime on Mac or apt-get install ripmime on Linux. Then, paste this into your terminal:

curl -i -s -X POST "http://localhost:5006/scrape" \
    -H "Content-Type: application/json" \
    -d '{"url": "https://goodreason.ai"}' \
    | ripmime -i - -d outfolder --formdata --no-nameless

...replacing the URL and output folder name appropriately.

API Reference

Path /: The root path returns status 200, plus some text to let you know the server's running if you visit the server in a web browser.

Path /scrape: Accepts a JSON formatted POST request and returns a multipart/mixed response including the resource file, screenshots, and request header information.

JSON formatted arguments:

url: required, the URL to scrape, like https://goodreason.ai
browser_dim: optional, a list like [width, height] determining the dimensions of the browser
wait: optional, the number of milliseconds to wait after scrolling to take a screenshot (highly recommended >= 1000)
max_screenshots: optional, the maximum number of screenshots that will be returned

You can provide the desired output image format as an Accept header MIME type. If no Accept header is provided (or if the Accept header is */* or image/*), the screenshots are returned by default as JPEGs. The following values are supported:

image/webp
image/png
image/jpeg

Every response from /scrape will be either:

Status 200: multipart/mixed response where: the first part is of type application/json with information about the request (includes status, headers, and metadata); the second part is the website data (usually text/html); and the remaining parts are up to 5 screenshots. Each part contains Content-Type and Content-Disposition headers, from which you can infer their file formats.
Not status 200: application/json response with an error message under the "error" key if the error was handled properly, otherwise please open an issue

Refer to the client for a full reference implementation, which shows you how to call the API and save the files it sends back. You can also save the returned files from the command line.

Security Considerations

Navigating to untrusted websites is a serious security issue. Risks are somewhat mitigated in the following ways:

Runs as isolated container (container isolation)
Each website is scraped in a new browser context (process isolation)
Strict memory limits and timeouts for each task
Checks the URL to make sure that it's not too weird (loopback, local, non http, etc.)

You may take additional precautions depending on your needs, like:

Only giving the API trusted URLs (or otherwise screening URLs)
Running this API on isolated VMs (hardware isolation)
Using one API instance per user
Not making any secret files or keys available inside the container (besides the API key for the scraper itself)

If you'd like to make sure that this API is up to your security standards, please examine the code and open issues! It's not a big repo.

API Keys

If your scrape server is publicly accessible over the internet, you should set an API key using a .env file inside the /scraper folder (same level as app.py).

You can set as many API keys as you'd like; allowed API keys are those that start with SCRAPER_API_KEY. For example, here is a .env file that has three available keys:

SCRAPER_API_KEY=should-be-secret
SCRAPER_API_KEY_OTHER=can-also-be-used
SCRAPER_API_KEY_3=works-too

API keys are sent to the service using the Authorization Bearer scheme.

Other Configuration

You can control memory limits and other variables at the top of scraper/worker.py. Here are the defaults:

MEM_LIMIT_MB = 4_000  # 4 GB memory threshold for child scraping process
MAX_CONCURRENT_TASKS = 3
DEFAULT_SCREENSHOTS = 5  # The max number of screenshots if the user doesn't set a max
MAX_SCREENSHOTS = 10  # User cannot set max_screenshots above this value
DEFAULT_WAIT = 1000  # Value for wait if a user doesn't set one (ms)
MAX_WAIT = 5000  # A user cannot ask for more than this long of a wait (ms)
SCREENSHOT_QUALITY = 85  # Argument to PIL image save
DEFAULT_BROWSER_DIM = [1280, 2000]  # If a user doesn't set browser dimensions  Width x Height in pixels
MAX_BROWSER_DIM = [2400, 4000]  # Maximum width and height a user can set
MIN_BROWSER_DIM = [100, 100]  # Minimum width and height a user can set
USER_AGENT = "Mozilla/5.0 (compatible; Abbey/1.0; +https://github.com/US-Artificial-Intelligence/scraper)"

License

lamardealmaker/ScrapeServ

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