This repository contains implementation of Example Python Code Runner Actor used for the "Run on Apify" buttons in Python projects. Such buttons can be found mostly in the crawlee.dev/python documentation and throughout docs.apify.com.

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- Example Code Runner Py

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Python Example

apify/python-example

Example Actor written in Python, showing how to read the Actor input and push to the Actor's default dataset.

Apify

105

BeautifulSoup Scraper

apify/beautifulsoup-scraper

Crawls websites using raw HTTP requests. It parses the HTML with the BeautifulSoup library and extracts data from the pages using Python code. Supports both recursive crawling and lists of URLs. This Actor is a Python alternative to Cheerio Scraper.

Apify

848

4.4

Dataset Processor in Python

drobnikj/dataset-processor-python

This actor utilizes Python to process the dataset.

Jakub Drobník

Example Code Runner (Puppeteer)

apify/example-code-runner-puppeteer

Generic Actor to run code examples from the documentation via "Run on Apify" links.

Apify

542

4.3

Example Code Runner (Playwright)

apify/example-code-runner-playwright

Generic Actor to run code examples from the documentation via "Run on Apify" links.

Apify

1.3K

4.7

Example Code Runner (Cheerio)

apify/example-code-runner-cheerio

Generic Actor to run code examples from the documentation via "Run on Apify" links.

Apify

4.0

Document OCR

valek.josef/document-ocr

Josef Válek

Markdown Converter

jindrich.bar/markdown-converter

A simple Actor for converting pdf / doc / docx files to Markdown.

Jindřich Bär

YouTube Tags Extractor 🎯

easyapi/youtube-tags-extractor

Extract and analyze tags from any YouTube video URL. Perfect for content creators, marketers, and researchers looking to optimize their YouTube SEO strategy and understand trending topics. Supports batch processing and multi-language tags. 🎯🔍

EasyApi

OCR - Extract Text from Images

wesleyyyb/ocr---extract-text-from-images

Extract text from images using OCR. Simply plug in your Apify datasetId, indicate what column contains the URL of the image (the grey API name) and get a new dataset with all text extracted from the images.