Split PDF By Barcode From URL (Node.js) - Async API - JavaScript
PDF Split sample in JavaScript demonstrating ‘Split PDF By Barcode From URL (Node.js) - Async API’
app.js
var https = require("https");
var fs = require("fs");
// Use "npm install request" command to install.
var request = require("request");
// The authentication key (API Key).
// Get your own by registering at https://app.pdf.co
const API_KEY = "***********************************";
// Source PDF file to split
// You can also upload your own file into PDF.co and use it as url. Check "Upload File" samples for code snippets: https://github.com/bytescout/pdf-co-api-samples/tree/master/File%20Upload/
const SourceFileUrl = "https://bytescout-com.s3.us-west-2.amazonaws.com/files/demo-files/cloud-api/pdf-split/split_by_barcode.pdf";
// Split by qr code or datamatrix with value search with regex
const SplitText = "[[barcode:qrcode,datamatrix /bytescout\\.com/]]";
// Prepare request to `Split PDF By Barcode` API endpoint
var queryPath = `/v1/pdf/split2`;
// JSON payload for api request
var jsonPayload = JSON.stringify({
searchString: SplitText, url: SourceFileUrl, async: true
});
var reqOptions = {
host: "api.pdf.co",
method: "POST",
path: queryPath,
headers: {
"x-api-key": API_KEY,
"Content-Type": "application/json",
"Content-Length": Buffer.byteLength(jsonPayload, 'utf8')
}
};
// Send request
var postRequest = https.request(reqOptions, (response) => {
response.on("data", (d) => {
// Parse JSON response
var data = JSON.parse(d);
if (data.error == false) {
console.log(`Job #${data.jobId} has been created!`);
checkIfJobIsCompleted(data.jobId, data.url);
}
else {
// Service reported error
console.log(data.message);
}
});
}).on("error", (e) => {
// Request error
console.error(e);
});
// Write request data
postRequest.write(jsonPayload);
postRequest.end();
function checkIfJobIsCompleted(jobId, resultFileUrlJson) {
let queryPath = `/v1/job/check`;
// JSON payload for api request
let jsonPayload = JSON.stringify({
jobid: jobId
});
let reqOptions = {
host: "api.pdf.co",
path: queryPath,
method: "POST",
headers: {
"x-api-key": API_KEY,
"Content-Type": "application/json",
"Content-Length": Buffer.byteLength(jsonPayload, 'utf8')
}
};
// Send request
var postRequest = https.request(reqOptions, (response) => {
response.on("data", (d) => {
response.setEncoding("utf8");
// Parse JSON response
let data = JSON.parse(d);
console.log(`Checking Job #${jobId}, Status: ${data.status}, Time: ${new Date().toLocaleString()}`);
if (data.status == "working") {
// Check again after 3 seconds
setTimeout(function () { checkIfJobIsCompleted(jobId, resultFileUrlJson) }, 3000);
}
else if (data.status == "success") {
request({ method: 'GET', uri: resultFileUrlJson, gzip: true },
function (error, response, body) {
// Parse JSON response
let respJsonFileArray = JSON.parse(body);
let part = 1;
respJsonFileArray.forEach((url) => {
var localFileName = `./part${part}.png`;
var file = fs.createWriteStream(localFileName);
https.get(url, (response2) => {
response2.pipe(file)
.on("close", () => {
console.log(`Generated PDF file saved as "${localFileName} file."`);
});
});
part++;
}, this);
});
}
else {
console.log(`Operation ended with status: "${data.status}".`);
}
})
});
// Write request data
postRequest.write(jsonPayload);
postRequest.end();
}
PDF.co Web API: the Web API with a set of tools for documents manipulation, data conversion, data extraction, splitting and merging of documents. Includes image recognition, built-in OCR, barcode generation and barcode decoders to decode bar codes from scans, pictures and pdf.
Download Source Code (.zip)
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