Hey folks, I’m stuck on a tricky web scraping project. I’m trying to pull data from over 200 pages, but the layouts keep changing. It’s driving me nuts!
Here’s the deal: I’m scraping college info, and stuff like GPA breakdowns and test scores are all over the place. Some pages have it, some don’t. Like, Harvard’s page is missing SAT/ACT super scores completely.
I’ve got a CSV going, but it’s a mess because of these inconsistencies. Check out this code I’m using:
const scraper = require('data-grabber');
const fileSystem = require('file-handler');
async function grabCollegeData() {
try {
const collegeList = await fileSystem.readFile('colleges.txt', 'utf8').split('\n');
const dataGrabber = await scraper.init({ visible: true });
const webpage = await dataGrabber.openPage();
webpage.setUserAgent('CustomBot/1.0');
await webpage.visit('https://example.com/college-data/random-university');
await fileSystem.appendToFile('results.csv', `"${collegeList[0]}",`);
const statsData = await webpage.extractData(() => {
const statBoxes = document.querySelectorAll('.stat-box');
return Array.from(statBoxes).map(box => box.textContent.trim()).filter(text => text !== '');
});
for (const stat of statsData) {
await fileSystem.appendToFile('results.csv', `"${stat}",`);
}
await fileSystem.appendToFile('results.csv', '\n');
await dataGrabber.shutdown();
} catch (error) {
console.log('Oops, something went wrong:', error);
}
}
grabCollegeData();
Any ideas on how to handle these changing layouts? I’m pulling my hair out here!
hey ryan, i know scraping windows full of funky layouts can be messy. try using specific xpaths or alternate css selectors to catch variations; also stack error handling so missing stats default to ‘n/a’. might work better for u!
I’ve encountered similar challenges with inconsistent layouts in web scraping projects. One approach that’s worked well for me is implementing a flexible data extraction strategy. Consider creating a mapping of possible selectors for each data point you’re trying to capture. Then, iterate through these selectors until you find a match.
For example:
const dataPoints = {
'GPA': ['.gpa-box', '#gpa-info', '[data-test="gpa"]'],
'SAT': ['.sat-scores', '#test-scores .sat', '.standardized-tests .sat']
};
for (const [key, selectors] of Object.entries(dataPoints)) {
let value = 'N/A';
for (const selector of selectors) {
const element = await page.$(selector);
if (element) {
value = await page.evaluate(el => el.textContent, element);
break;
}
}
data[key] = value;
}
This approach allows for more resilience against layout changes and missing data points.
As someone who’s been in the trenches with web scraping, I can tell you that inconsistent layouts are a real pain. One trick that’s saved my bacon is using a modular approach. Instead of trying to grab everything at once, break it down into smaller, more manageable chunks.
Try creating separate functions for each type of data you’re after. Something like:
async function getGPA(page) {
const selectors = ['.gpa-info', '#gpa-breakdown', '[data-test=\"gpa\"]'];
for (const selector of selectors) {
const element = await page.$(selector);
if (element) return await page.evaluate(el => el.textContent.trim(), element);
}
return 'N/A';
}
Then you can call these functions for each data point you need. This way, if a page is missing certain info, it won’t throw off your entire scrape. Plus, it’s easier to maintain and update if layouts change in the future.
Remember to add some randomized delays between requests to avoid getting blocked. Good luck with your project!