mirror of
https://git.mirrors.martin98.com/https://github.com/mendableai/firecrawl
synced 2025-08-04 17:30:37 +08:00
203 lines
6.2 KiB
TypeScript
203 lines
6.2 KiB
TypeScript
import { ExtractorOptions, PageOptions } from './../lib/entities';
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import { Request, Response } from "express";
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import { WebScraperDataProvider } from "../scraper/WebScraper";
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import { billTeam, checkTeamCredits } from "../services/billing/credit_billing";
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import { authenticateUser } from "./auth";
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import { RateLimiterMode } from "../types";
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import { logJob } from "../services/logging/log_job";
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import { Document } from "../lib/entities";
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import { isUrlBlocked } from "../scraper/WebScraper/utils/blocklist"; // Import the isUrlBlocked function
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import { numTokensFromString } from '../lib/LLM-extraction/helpers';
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import { defaultPageOptions, defaultExtractorOptions, defaultTimeout, defaultOrigin } from '../lib/default-values';
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import { v4 as uuidv4 } from "uuid";
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import { Logger } from '../lib/logger';
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export async function scrapeHelper(
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jobId: string,
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req: Request,
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team_id: string,
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crawlerOptions: any,
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pageOptions: PageOptions,
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extractorOptions: ExtractorOptions,
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timeout: number,
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plan?: string
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): Promise<{
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success: boolean;
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error?: string;
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data?: Document;
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returnCode: number;
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}> {
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const url = req.body.url;
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if (!url) {
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return { success: false, error: "Url is required", returnCode: 400 };
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}
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if (isUrlBlocked(url)) {
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return { success: false, error: "Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it.", returnCode: 403 };
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}
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const a = new WebScraperDataProvider();
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await a.setOptions({
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jobId,
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mode: "single_urls",
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urls: [url],
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crawlerOptions: {
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...crawlerOptions,
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},
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pageOptions: pageOptions,
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extractorOptions: extractorOptions,
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});
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const timeoutPromise = new Promise<{ success: boolean; error?: string; returnCode: number }>((_, reject) =>
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setTimeout(() => reject({ success: false, error: "Request timed out. Increase the timeout by passing `timeout` param to the request.", returnCode: 408 }), timeout)
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);
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const docsPromise = a.getDocuments(false);
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let docs;
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try {
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docs = await Promise.race([docsPromise, timeoutPromise]);
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} catch (error) {
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return error;
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}
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// make sure doc.content is not empty
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let filteredDocs = docs.filter(
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(doc: { content?: string }) => doc.content && doc.content.trim().length > 0
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);
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if (filteredDocs.length === 0) {
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return { success: true, error: "No page found", returnCode: 200, data: docs[0] };
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}
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// Remove rawHtml if pageOptions.rawHtml is false and extractorOptions.mode is llm-extraction-from-raw-html
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if (!pageOptions.includeRawHtml && extractorOptions.mode == "llm-extraction-from-raw-html") {
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filteredDocs.forEach(doc => {
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delete doc.rawHtml;
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});
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}
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return {
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success: true,
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data: filteredDocs[0],
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returnCode: 200,
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};
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}
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export async function scrapeController(req: Request, res: Response) {
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try {
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let earlyReturn = false;
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// make sure to authenticate user first, Bearer <token>
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const { success, team_id, error, status, plan } = await authenticateUser(
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req,
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res,
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RateLimiterMode.Scrape
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);
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if (!success) {
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return res.status(status).json({ error });
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}
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const crawlerOptions = req.body.crawlerOptions ?? {};
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const pageOptions = { ...defaultPageOptions, ...req.body.pageOptions };
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const extractorOptions = { ...defaultExtractorOptions, ...req.body.extractorOptions };
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const origin = req.body.origin ?? defaultOrigin;
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let timeout = req.body.timeout ?? defaultTimeout;
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if (extractorOptions.mode.includes("llm-extraction")) {
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pageOptions.onlyMainContent = true;
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timeout = req.body.timeout ?? 90000;
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}
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const checkCredits = async () => {
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try {
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const { success: creditsCheckSuccess, message: creditsCheckMessage } = await checkTeamCredits(team_id, 1);
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if (!creditsCheckSuccess) {
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earlyReturn = true;
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return res.status(402).json({ error: "Insufficient credits" });
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}
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} catch (error) {
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Logger.error(error);
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earlyReturn = true;
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return res.status(402).json({ error: "Error checking team credits. Please contact hello@firecrawl.com for help." });
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}
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};
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// Async check saves 500ms in average case
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// Don't async check in llm extraction mode as it could be expensive
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if (extractorOptions.mode.includes("llm-extraction")) {
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await checkCredits();
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} else {
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checkCredits();
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}
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const jobId = uuidv4();
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const startTime = new Date().getTime();
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const result = await scrapeHelper(
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jobId,
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req,
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team_id,
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crawlerOptions,
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pageOptions,
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extractorOptions,
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timeout,
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plan
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);
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const endTime = new Date().getTime();
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const timeTakenInSeconds = (endTime - startTime) / 1000;
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const numTokens = (result.data && result.data.markdown) ? numTokensFromString(result.data.markdown, "gpt-3.5-turbo") : 0;
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if (result.success) {
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let creditsToBeBilled = 1; // Assuming 1 credit per document
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const creditsPerLLMExtract = 50;
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if (extractorOptions.mode.includes("llm-extraction")) {
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// creditsToBeBilled = creditsToBeBilled + (creditsPerLLMExtract * filteredDocs.length);
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creditsToBeBilled += creditsPerLLMExtract;
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}
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let startTimeBilling = new Date().getTime();
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if (earlyReturn) {
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// Don't bill if we're early returning
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return;
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}
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const billingResult = await billTeam(
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team_id,
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creditsToBeBilled
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);
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if (!billingResult.success) {
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return res.status(402).json({
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success: false,
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error: "Failed to bill team. Insufficient credits or subscription not found.",
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});
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}
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}
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logJob({
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job_id: jobId,
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success: result.success,
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message: result.error,
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num_docs: 1,
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docs: [result.data],
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time_taken: timeTakenInSeconds,
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team_id: team_id,
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mode: "scrape",
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url: req.body.url,
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crawlerOptions: crawlerOptions,
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pageOptions: pageOptions,
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origin: origin,
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extractor_options: extractorOptions,
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num_tokens: numTokens,
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});
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return res.status(result.returnCode).json(result);
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} catch (error) {
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Logger.error(error);
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return res.status(500).json({ error: error.message });
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}
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}
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