This tutorial demonstrates web scraping using JavaScript's Cheerio library to extract Academy Award-winning films from Wikipedia and save them to a CSV file.
First, install the required packages:
npm install cheerio axios
The Wikipedia page URL is:
const url = 'https://en.wikipedia.org/wiki/List_of_Academy_Award%E2%80%93winning_films';
The code fetches the page's HTML using axios, then uses Cheerio to parse it:
const { data: html } = await axios.get(url);
const $ = cheerio.load(html);
const theadData = [];
const tableData = [];
The script navigates the DOM, extracting data from table cells:
$('tbody').each((i, column) => {
const columnData = [];
$(column).find('th').each((j, cell) => {
columnData.push($(cell).text().replace('\n', ''));
});
theadData.push(columnData);
});
tableData.push(theadData[0]);
$('table tr').each((i, row) => {
const rowData = [];
$(row).find('td').each((j, cell) => {
rowData.push($(cell).text().trim());
});
if (rowData.length) tableData.push(rowData);
});
Finally, the extracted data is formatted and saved to a CSV file using fs.writeFileSync, with semicolons as delimiters:
const csvContent = tableData.map((row) => row.join(';')).join('\n');
fs.writeFileSync('academy_awards.csv', csvContent, 'utf-8');
Run the script using:
node scraper.js
The resulting academy_awards.csv file contains the scraped data.
This tutorial builds upon previous scraping tutorials using Go and Python. Consider supporting the author if this was helpful: 
The above is the detailed content of A JavaScript scraper for the Wikipedia Academy Award List.. For more information, please follow other related articles on the PHP Chinese website!
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