Puppeteer / Node - Target.createTarget - Target Closed - web-scraping

Question

I'm using Node/Puppeteer in the code below, passing in a large list of URL's for traversal and scraping. It has been difficult to do it asynchronously, though I find that I am getting closer and closer to the answer. I am currently stuck on an issue related to the following error.
UnhandledPromiseRejectionWarning: Unhandled promise rejection (rejection id: 17): Error: Protocol error (Target.createTarget): Target closed.
This error occurs once upon every iteration of the while loop. Though I'm not sure what I may be doing incorrectly.
Could someone help me do the following:
1) Diagnose the source of the error.
2) Potentially find a more effective way to traverse a large list of URLs asynchronously.
async function subProc(list, batchSize) {
let subList = null;
let i = 0;
while (list.length > 0) {
let browser = await puppeteer.launch();
subList = list.splice(0, batchSize);
console.log("Master List Size :: " + list.length);
console.log("SubList Size :: " + subList.length);
for (let j = 0; j < subList.length; j++) {
promiseArray.push(new Promise((resolve, reject) => {
resolve(pageScrape(subList[j], browser));
}));
}
Promise.all(promiseArray)
.then(response => {
procArray.concat(response);
});
promiseArray = new Array();
try {
await browser.close();
} catch(ex){
console.log(ex);
}
};
}
async function pageScrape(url, browser) {
let page = await browser.newPage();
await page.goto(url, {
timeout: 0
});
await page.waitFor(1000);
return await page.evaluate(() => {
let appTitle = document.querySelector('').innerText;
let companyName = document.querySelector('').innerText;
let dateListed = document.evaluate("", document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue.innerText;
let category = document.evaluate("']//a//strong", document, null, XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue.innerText;
/* */
return {
appTitle,
companyName,
dateListed,
category
}
}).then(response => {
let urlData = {
id: subList[j],
appName: response.appTitle,
companyName: response.companyName,
dateListed: response.dateListed,
category: response.category
}
return urlData;
});
};

Answer 1

I figured out the solution to the problem I was having.
Every computer is limited in its processing ability, so instead of iterating through 1000 urls simultaneously you have to break it down into smaller pieces.
By using a PromiseAll, and iterating and scraping 10 urls at a time and storing these values in an array, I was able to throttle the processing required to iterate through all 1000 urls.
processBatch(subData, 10, procArray).then((processed)=>{
for(let i = 0; i < procArray.length; i++){
for(let j = 0; j < procArray[i].length; j++){
results.push(procArray[i][j]);
}
}
function processBatch(masterList, batchSize, procArray){
return Promise.all(masterList.splice(0, batchSize).map(async url =>
{
return singleScrape(url)
})).then((results) => {
if (masterList.length < batchSize) {
console.log('done');
procArray.push(results);
return procArray;
} else {
console.log('MasterList Size :: ' + masterList.length);
procArray.push(results);
return processBatch(masterList, batchSize, procArray);
}
})
}