JS client for WebcrawlerAPI
Official client for WebcrawlerAPI. This SDK provides a robust and type-safe way to interact with WebcrawlerAPI's powerful web scraping capabilities, making it easy to extract structured data from any website.
WebcrawlerAPI allows you to extract data from any website with just a simple API call. The service handles all the complexities of web scraping, including JavaScript rendering, proxy rotation, and rate limiting, so you can focus on using the data.
Preparation
Our dashboard provides comprehensive analytics and monitoring tools to help you track your API usage and optimize your scraping operations.
Installation
Install WebcrawlerAPI js package:
npm i webcrawlerapi-js
The package is regularly updated with new features and improvements to ensure the best possible scraping experience.
JavaScript Examples
Synchronous Job
In this mode, the promise will be resolved when all data is ready. Synchronous jobs are perfect for quick scraping tasks where you need immediate results and don't want to handle polling logic.
import webcrawlerapi from "webcrawlerapi-js"
async function main() {
const client = new WebcrawlerClient(
"YOUR API ACCESS KEY HERE",
)
try {
const syncJob = await client.crawl({
"items_limit": 10,
"url": "https://stripe.com/",
"scrape_type": "markdown"
})
for (const item of syncJob.job_items) {
const content = await item.getContent()
console.log(content.slice(0, 100))
}
console.log(syncJob)
} catch (error) {
if (error instanceof webcrawlerapi.WebcrawlerApiError) {
console.error("Webcrawler error:", error.message)
}
return
}
}
main().catch(console.error)
Asynchronous Job
In this mode, you get a job ID immediately and can poll for results. Asynchronous jobs are ideal for large-scale scraping operations where you want to process data in batches or handle long-running tasks efficiently.
import webcrawlerapi from "webcrawlerapi-js"
async function main() {
const client = new WebcrawlerClient(
"YOUR API ACCESS KEY HERE",
)
try {
const jobWithId = await client.crawlAsync({
"items_limit": 10,
"url": "https://stripe.com/",
"scrape_type": "markdown"
})
const jobId = jobWithId.id
let asyncJob = await client.getJob(jobId)
console.log("Job status:", asyncJob.status)
if (asyncJob.status === "completed") {
for (const item of asyncJob.job_items) {
const content = await item.getContent()
console.log(content.slice(0, 100))
}
}
} catch (error) {
if (error instanceof webcrawlerapi.WebcrawlerApiError) {
console.error("Webcrawler error:", error.message)
}
}
}
main().catch(console.error)
TypeScript Usage
The SDK provides full TypeScript support with type safety and error handling. Our TypeScript integration ensures you catch potential issues at compile-time and provides excellent IDE support with autocompletion and inline documentation.
import { WebcrawlerClient, WebcrawlerApiError } from "webcrawlerapi-js"
async function main() {
const client = new WebcrawlerClient(
"YOUR_API_KEY",
"http://localhost:8080"
)
try {
const syncJob = await client.crawl({
"items_limit": 2,
"url": "https://books.toscrape.com/",
"scrape_type": "markdown"
})
if (syncJob.status === "done") {
for (const item of syncJob.job_items) {
if (item.markdown_content_url) {
console.log("Status code:", item.page_status_code)
console.log("Content URL:", item.markdown_content_url)
}
}
}
const scrapeJob = await client.scrape({
"crawler_id": "webcrawler/url-to-md",
"input": {
"url": "https://books.toscrape.com/"
}
})
if (scrapeJob.status === "done") {
const content = scrapeJob.getContent()
console.log("Scraped content:", content)
}
} catch (error) {
if (error instanceof WebcrawlerApiError) {
console.error("API Error:", error.errorCode, error.message)
if (error.errorCode === "invalid_request") {
}
}
}
}
main().catch(console.error)
Error Handling
The SDK provides typed error handling through the WebcrawlerApiError
class. Our error handling system is designed to provide detailed, actionable feedback that helps you quickly identify and resolve issues in your scraping pipeline.
try {
const syncJob = await client.crawl({
"items_limit": 2,
"url": "https://books.toscrape.com/",
})
} catch (error) {
if (error instanceof WebcrawlerApiError) {
console.error("Error code:", error.errorCode)
console.error("Error message:", error.message)
}
}
Response Structure
Example of a job response. The response structure is carefully designed to provide comprehensive information about your scraping job, including detailed status updates, timing information, and resource usage metrics.
{
id: '49c4942b-b7d9-4d62-94b5-b54a3016ac51',
url: 'https:
scrape_type: 'markdown',
whitelist_regexp: '',
blacklist_regexp: '',
allow_subdomains: false,
items_limit: 10,
created_at: '2024-12-28T21:36:04.417Z',
finished_at: null,
updated_at: '2024-12-28T21:36:04.383Z',
webhook_url: '',
status: 'in_progress',
job_items: [
{
id: 'f26cefe1-09d1-4d4c-8b74-b65e075e230d',
job_id: '49c4942a-b7d9-4d62-94b5-b54a3016ac51',
original_url: 'https:
page_status_code: 0,
status: 'new',
title: '',
last_error: '',
error_code: '',
created_at: '2024-12-28T21:36:04.468Z',
updated_at: '2024-12-28T21:36:04.435Z',
cost: 0,
referred_url: ''
}
],
recommended_pull_delay_ms: 5000
}