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feat: add crawling endpoint
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‎scrapegraph-js/README.md‎

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@@ -151,6 +151,105 @@ const prompt = 'What is the latest version of Python and what are its main featu
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})();
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```
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### Crawl API
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Start a crawl job to extract structured data from a website and its linked pages, using a custom schema.
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```javascript
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import { crawl, getCrawlRequest } from 'scrapegraph-js';
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import 'dotenv/config';
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const apiKey = process.env.SGAI_APIKEY;
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const url = 'https://scrapegraphai.com/';
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const prompt = 'What does the company do? and I need text content from there privacy and terms';
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const schema = {
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"$schema": "http://json-schema.org/draft-07/schema#",
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"title": "ScrapeGraphAI Website Content",
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"type": "object",
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"properties": {
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"company": {
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"type": "object",
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"properties": {
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"name": { "type": "string" },
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"description": { "type": "string" },
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"features": { "type": "array", "items": { "type": "string" } },
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"contact_email": { "type": "string", "format": "email" },
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"social_links": {
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"type": "object",
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"properties": {
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"github": { "type": "string", "format": "uri" },
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"linkedin": { "type": "string", "format": "uri" },
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"twitter": { "type": "string", "format": "uri" }
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},
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"additionalProperties": false
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}
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},
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"required": ["name", "description"]
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},
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"services": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"service_name": { "type": "string" },
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"description": { "type": "string" },
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"features": { "type": "array", "items": { "type": "string" } }
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},
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"required": ["service_name", "description"]
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}
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},
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"legal": {
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"type": "object",
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"properties": {
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"privacy_policy": { "type": "string" },
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"terms_of_service": { "type": "string" }
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},
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"required": ["privacy_policy", "terms_of_service"]
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}
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},
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"required": ["company", "services", "legal"]
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};
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(async () => {
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try {
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// Start the crawl job
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const crawlResponse = await crawl(apiKey, url, prompt, schema, {
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cacheWebsite: true,
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depth: 2,
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maxPages: 2,
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sameDomainOnly: true,
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batchSize: 1,
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});
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console.log('Crawl job started. Response:', crawlResponse);
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// If the crawl is asynchronous and returns an ID, fetch the result
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const crawlId = crawlResponse.id || crawlResponse.task_id;
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if (crawlId) {
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for (let i = 0; i < 10; i++) {
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await new Promise((resolve) => setTimeout(resolve, 5000));
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const result = await getCrawlRequest(apiKey, crawlId);
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if (result.status === 'success' && result.result) {
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console.log('Crawl completed. Result:', result.result.llm_result);
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break;
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} else if (result.status === 'failed') {
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console.log('Crawl failed. Result:', result);
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break;
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} else {
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console.log(`Status: ${result.status}, waiting...`);
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}
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}
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} else {
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console.log('No crawl ID found in response. Synchronous result:', crawlResponse);
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}
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} catch (error) {
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console.error('Error occurred:', error);
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}
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})();
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```
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You can use a plain JSON schema or a [Zod](https://www.npmjs.com/package/zod) schema for the `schema` parameter. The crawl API supports options for crawl depth, max pages, domain restriction, and batch size.
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### Scraping local HTML
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Extract structured data from local HTML content

‎scrapegraph-js/examples/crawl_example.js‎

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import { crawl, getCrawlRequest } from '../index.js';
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import 'dotenv/config';
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// Example .env file:
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// SGAI_APIKEY=your_sgai_api_key
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const apiKey = process.env.SGAI_APIKEY;
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const schema = {
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"$schema": "http://json-schema.org/draft-07/schema#",
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"title": "ScrapeGraphAI Website Content",
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"type": "object",
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"properties": {
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"company": {
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"type": "object",
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"properties": {
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"name": { "type": "string" },
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"description": { "type": "string" },
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"features": { "type": "array", "items": { "type": "string" } },
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"contact_email": { "type": "string", "format": "email" },
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"social_links": {
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"type": "object",
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"properties": {
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"github": { "type": "string", "format": "uri" },
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"linkedin": { "type": "string", "format": "uri" },
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"twitter": { "type": "string", "format": "uri" }
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},
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"additionalProperties": false
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}
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},
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"required": ["name", "description"]
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},
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"services": {
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"type": "array",
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"items": {
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"type": "object",
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"properties": {
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"service_name": { "type": "string" },
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"description": { "type": "string" },
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"features": { "type": "array", "items": { "type": "string" } }
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},
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"required": ["service_name", "description"]
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}
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},
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"legal": {
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"type": "object",
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"properties": {
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"privacy_policy": { "type": "string" },
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"terms_of_service": { "type": "string" }
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},
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"required": ["privacy_policy", "terms_of_service"]
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}
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},
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"required": ["company", "services", "legal"]
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};
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const url = 'https://scrapegraphai.com/';
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const prompt = 'What does the company do? and I need text content from there privacy and terms';
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(async () => {
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if (!apiKey) {
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console.error('SGAI_APIKEY not found in environment. Please set it in your .env file.');
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process.exit(1);
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}
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try {
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// Start the crawl job
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console.log(`\nStarting crawl for: ${url}`);
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const crawlResponse = await crawl(apiKey, url, prompt, schema, {
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cacheWebsite: true,
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depth: 2,
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maxPages: 2,
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sameDomainOnly: true,
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batchSize: 1,
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});
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console.log('\nCrawl job started. Response:');
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console.log(JSON.stringify(crawlResponse, null, 2));
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// If the crawl is asynchronous and returns an ID, fetch the result
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const crawlId = crawlResponse.id || crawlResponse.task_id;
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if (crawlId) {
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console.log('\nPolling for crawl result...');
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for (let i = 0; i < 10; i++) {
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await new Promise((resolve) => setTimeout(resolve, 5000));
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const result = await getCrawlRequest(apiKey, crawlId);
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if (result.status === 'success' && result.result) {
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console.log(`\nCrawl completed. Result:`);
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console.log(JSON.stringify(result.result.llm_result, null, 2));
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break;
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} else if (result.status === 'failed') {
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console.log('\nCrawl failed. Result:');
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console.log(JSON.stringify(result, null, 2));
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break;
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} else {
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console.log(`Status: ${result.status}, waiting...`);
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}
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}
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} else {
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console.log('No crawl ID found in response. Synchronous result:');
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console.log(JSON.stringify(crawlResponse, null, 2));
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}
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} catch (error) {
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console.error('Error occurred:', error);
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}
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})();

‎scrapegraph-js/index.js‎

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export { searchScraper, getSearchScraperRequest } from './src/searchScraper.js';
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export { getCredits } from './src/credits.js';
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export { sendFeedback } from './src/feedback.js';
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export { crawl, getCrawlRequest } from './src/crawl.js';

‎scrapegraph-js/src/crawl.js‎

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import axios from 'axios';
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import handleError from './utils/handleError.js';
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import { ZodType } from 'zod';
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import { zodToJsonSchema } from 'zod-to-json-schema';
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/**
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* Start a crawl job using the ScrapeGraphAI API.
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*
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* @param {string} apiKey - Your ScrapeGraph AI API key
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* @param {string} url - The starting URL for the crawl
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* @param {string} prompt - The prompt to guide the crawl and extraction
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* @param {Object|ZodType} schema - JSON schema or Zod schema defining the structure of the extracted data
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* @param {Object} [options] - Optional crawl parameters
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* @param {boolean} [options.cacheWebsite=true] - Whether to cache the website content
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* @param {number} [options.depth=2] - Maximum depth of the crawl (1-10)
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* @param {number} [options.maxPages=2] - Maximum number of pages to crawl (1-100)
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* @param {boolean} [options.sameDomainOnly=true] - Whether to only crawl pages from the same domain
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* @param {number} [options.batchSize=1] - Batch size for processing pages (1-10)
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* @returns {Promise<Object>} The crawl job response
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* @throws {Error} Throws an error if the HTTP request fails
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*/
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export async function crawl(
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apiKey,
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url,
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prompt,
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schema,
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options = {}
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) {
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const endpoint = 'https://api.scrapegraphai.com/v1/crawl';
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const headers = {
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'accept': 'application/json',
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'SGAI-APIKEY': apiKey,
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'Content-Type': 'application/json',
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};
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let schemaPayload;
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if (schema instanceof ZodType) {
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schemaPayload = zodToJsonSchema(schema);
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} else if (typeof schema === 'object' && schema !== null) {
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schemaPayload = schema;
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} else {
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throw new Error('The schema must be a Zod schema or a plain object');
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}
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const {
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cacheWebsite = true,
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depth = 2,
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maxPages = 2,
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sameDomainOnly = true,
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batchSize = 1,
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} = options;
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const payload = {
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url,
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prompt,
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schema: schemaPayload,
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cache_website: cacheWebsite,
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depth,
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max_pages: maxPages,
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same_domain_only: sameDomainOnly,
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batch_size: batchSize,
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};
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try {
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const response = await axios.post(endpoint, payload, { headers });
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return response.data;
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} catch (error) {
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handleError(error);
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}
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}
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/**
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* Get the result of a crawl job by ID.
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*
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* @param {string} apiKey - Your ScrapeGraph AI API key
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* @param {string} crawlId - The crawl job ID
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* @returns {Promise<Object>} The crawl result
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* @throws {Error} Throws an error if the HTTP request fails
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*/
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export async function getCrawlRequest(apiKey, crawlId) {
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const endpoint = `https://api.scrapegraphai.com/v1/crawl/${crawlId}`;
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const headers = {
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'accept': 'application/json',
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'SGAI-APIKEY': apiKey,
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};
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try {
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const response = await axios.get(endpoint, { headers });
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return response.data;
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} catch (error) {
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handleError(error);
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}
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}

‎scrapegraph-py/examples/async/.env.example‎

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SGAI_API_KEY="your_sgai_api_key"

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