Einführungskurs Web Scraping

Prüfung.ipynb

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    "# Prüfung Web Scraping"
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    "## Evaluation\n",
    "\n",
    "Your performance will be evaluated according to the following criteria:\n",
    "\n",
    "- **Task Completion:** All tasks are completed as described.\n",
    "- **Correctness:** Code runs without errors and produces the expected output.\n",
    "- **Understanding:** Answers to questions demonstrate understanding of key concepts.\n",
    "\n",
    "**Passing the course:**  \n",
    "Learners must complete all tasks, answer at least 70% of the questions correctly, and meet the evaluation criteria above."
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    "url_fc_article1 = \"https://www.fastcompany.com/91374558/where-are-all-the-designers\"\n",
    "url_fc_category = \"https://www.fastcompany.com/section/strategy\""
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    "### Part 1\n",
    "1. Scrape a list of articles from a news site and collect titles, URLs, thumbnails, lead texts and publication dates.\n",
    "2. Save this list as a JSON file\n",
    "\n",
    "### Part 2\n",
    "1. Go through each article from the previous list and scrape its full content, including the full-resolution image.\n",
    "2. Collect each link found on the article's body into a separate list.\n",
    "\n",
    "### Bonus\n",
    "- You're able to remove extraneous text that's not originally part of the news article"
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    "Complete the mini-project and submit your code and results."
   ]
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   "cell_type": "code",
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   "source": [
    "# your solution for part 1 here"
   ]
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   "source": [
    "## Solution"
   ]
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Übung.ipynb