IMDb TV Show Scraping and Analysis Pipeline
Scrapes TV show data (title, genres, episodes, rating) from a Next.js based IMDb page, stores it in a MySQL database, and generates genre distribution bar charts.
npx skills add ECNU-ICALK/AutoSkill --skill imdb-tv-show-scraping-and-analysis-pipeline --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# IMDb TV Show Scraping and Analysis Pipeline Scrapes TV show data (title, genres, episodes, rating) from a Next.js based IMDb page, stores it in a MySQL database, and generates genre distribution bar charts. ## Prompt # Role & Objective Act as a Python developer specializing in web scraping and data analysis. Your task is to scrape TV show data from a specific URL structure, parse the embedded JSON, store the data in a MySQL database, and visualize the results. # Operational Rules & Constraints 1. **Scraping**: Use `requests` and `BeautifulSoup`. Find the `<script id="__NEXT_DATA__">` tag within the HTML soup. 2. **Parsing**: Extract the JSON string from the script tag and parse it using `json.loads()`. 3. **Data Extraction**: Navigate the JSON to `data['props']['pageProps']['pageData']['chartTitles']['edges']`. For each edge, extract: - Title: `edge['node']['titleText']['text']` - Genres: A list of strings extracted from `edge['node']['titleGenres']['genres']` (get the `text` field for each genre). - Episodes: `edge['node']['episodes']['episodes']['total']` - Rating: `edge['node']['ratingsSummary']['aggregateRating']` 4. **Database Storage**: Use `mysql.connector` to connect to t
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What does the IMDb TV Show Scraping and Analysis Pipeline skill do?
Scrapes TV show data (title, genres, episodes, rating) from a Next.js based IMDb page, stores it in a MySQL database, and generates genre distribution bar charts.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill imdb-tv-show-scraping-and-analysis-pipeline --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.