The Firecrawl Node SDK is a library that allows you to easily scrape and crawl websites, and output the data in a format ready for use with language models (LLMs). It provides a simple and intuitive interface for interacting with the Firecrawl API.
To install the Firecrawl Node SDK, you can use npm:
npm install @mendable/firecrawl-js
- Get an API key from firecrawl.dev
- Set the API key as an environment variable named
FIRECRAWL_API_KEY
or pass it as a parameter to theFirecrawlApp
class.
Here's an example of how to use the SDK with error handling:
import FirecrawlApp, { CrawlParams, CrawlStatusResponse } from '@mendable/firecrawl-js';
const app = new FirecrawlApp({apiKey: "fc-YOUR_API_KEY"});
// Scrape a website
const scrapeResponse = await app.scrapeUrl('https://firecrawl.dev', {
formats: ['markdown', 'html'],
});
if (scrapeResponse) {
console.log(scrapeResponse)
}
// Crawl a website
const crawlResponse = await app.crawlUrl('https://firecrawl.dev', {
limit: 100,
scrapeOptions: {
formats: ['markdown', 'html'],
}
})
console.log(crawlResponse)
To scrape a single URL with error handling, use the scrapeUrl
method. It takes the URL as a parameter and returns the scraped data as a dictionary.
const url = "https://example.com";
const scrapedData = await app.scrapeUrl(url);
To crawl a website with error handling, use the crawlUrl
method. It takes the starting URL and optional parameters as arguments. The params
argument allows you to specify additional options for the crawl job, such as the maximum number of pages to crawl, allowed domains, and the output format.
const crawlResponse = await app.crawlUrl('https://firecrawl.dev', {
limit: 100,
scrapeOptions: {
formats: ['markdown', 'html'],
}
})
To initiate an asynchronous crawl of a website, utilize the AsyncCrawlURL method. This method requires the starting URL and optional parameters as inputs. The params argument enables you to define various settings for the asynchronous crawl, such as the maximum number of pages to crawl, permitted domains, and the output format. Upon successful initiation, this method returns an ID, which is essential for subsequently checking the status of the crawl.
const asyncCrawlResult = await app.asyncCrawlUrl('mendable.ai', { excludePaths: ['blog/*'], limit: 5});
To check the status of a crawl job with error handling, use the checkCrawlStatus
method. It takes the job ID as a parameter and returns the current status of the crawl job`
const status = await app.checkCrawlStatus(id);
With LLM extraction, you can easily extract structured data from any URL. We support zod schema to make it easier for you too. Here is how you to use it:
import FirecrawlApp from "@mendable/firecrawl-js";
import { z } from "zod";
const app = new FirecrawlApp({
apiKey: "fc-YOUR_API_KEY",
});
// Define schema to extract contents into
const schema = z.object({
top: z
.array(
z.object({
title: z.string(),
points: z.number(),
by: z.string(),
commentsURL: z.string(),
})
)
.length(5)
.describe("Top 5 stories on Hacker News"),
});
const scrapeResult = await app.scrapeUrl("https://firecrawl.dev", {
extractorOptions: { extractionSchema: schema },
});
console.log(scrapeResult.data["llm_extraction"]);
Use map_url
to generate a list of URLs from a website. The params
argument let you customize the mapping process, including options to exclude subdomains or to utilize the sitemap.
const mapResult = await app.mapUrl('https://example.com') as MapResponse;
console.log(mapResult)
To crawl a website with WebSockets, use the crawlUrlAndWatch
method. It takes the starting URL and optional parameters as arguments. The params
argument allows you to specify additional options for the crawl job, such as the maximum number of pages to crawl, allowed domains, and the output format.
// Crawl a website with WebSockets:
const watch = await app.crawlUrlAndWatch('mendable.ai', { excludePaths: ['blog/*'], limit: 5});
watch.addEventListener("document", doc => {
console.log("DOC", doc.detail);
});
watch.addEventListener("error", err => {
console.error("ERR", err.detail.error);
});
watch.addEventListener("done", state => {
console.log("DONE", state.detail.status);
});
To batch scrape multiple URLs with error handling, use the batchScrapeUrls
method. It takes the starting URLs and optional parameters as arguments. The params
argument allows you to specify additional options for the batch scrape job, such as the output formats.
const batchScrapeResponse = await app.batchScrapeUrls(['https://firecrawl.dev', 'https://mendable.ai'], {
formats: ['markdown', 'html'],
})
To initiate an asynchronous batch scrape, utilize the asyncBatchScrapeUrls
method. This method requires the starting URLs and optional parameters as inputs. The params argument enables you to define various settings for the scrape, such as the output formats. Upon successful initiation, this method returns an ID, which is essential for subsequently checking the status of the batch scrape.
const asyncBatchScrapeResult = await app.asyncBatchScrapeUrls(['https://firecrawl.dev', 'https://mendable.ai'], { formats: ['markdown', 'html'] });
To use batch scrape with WebSockets, use the batchScrapeUrlsAndWatch
method. It takes the starting URL and optional parameters as arguments. The params
argument allows you to specify additional options for the batch scrape job, such as the output formats.
// Batch scrape multiple URLs with WebSockets:
const watch = await app.batchScrapeUrlsAndWatch(['https://firecrawl.dev', 'https://mendable.ai'], { formats: ['markdown', 'html'] });
watch.addEventListener("document", doc => {
console.log("DOC", doc.detail);
});
watch.addEventListener("error", err => {
console.error("ERR", err.detail.error);
});
watch.addEventListener("done", state => {
console.log("DONE", state.detail.status);
});
The SDK handles errors returned by the Firecrawl API and raises appropriate exceptions. If an error occurs during a request, an exception will be raised with a descriptive error message. The examples above demonstrate how to handle these errors using try/catch
blocks.
The Firecrawl Node SDK is licensed under the MIT License. This means you are free to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the SDK, subject to the following conditions:
- The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Please note that while this SDK is MIT licensed, it is part of a larger project which may be under different licensing terms. Always refer to the license information in the root directory of the main project for overall licensing details.