apify-sdk-integration

Integrate Apify into an existing JavaScript/TypeScript or Python application using the apify-client package. Use when adding web scraping, automation, or data extraction capabilities to an existing app via the Apify API.

仓库: apify/apify-cursor-plugin
最近来源活动: 2026年5月27日 11:27
检测到的 SKILL.md 语言: 英语
星标: 0
分支: 2

安装方式

默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。

检查来源文件

决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。

返回搜索返回安装

fetch-actor-details

npm install apify-client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('apify/web-scraper').call({
    startUrls: [{ url: 'https://example.com' }],
    maxPagesPerCrawl: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

const run = await client.actor('apify/web-scraper').start({
    startUrls: [{ url: 'https://example.com' }],
});

// Poll for completion
const finishedRun = await client.run(run.id).waitForFinish();

// Retrieve results
const { items } = await client.dataset(finishedRun.defaultDatasetId).listItems();

// Dataset items (structured data from pushData)
const { items } = await client.dataset(run.defaultDatasetId).listItems({
    limit: 100,
    offset: 0,
});

// Key-value store (files, screenshots, etc.)
const record = await client.keyValueStore(run.defaultKeyValueStoreId).getRecord('OUTPUT');

try {
    const run = await client.actor('apify/web-scraper').call(input);

    if (run.status !== 'SUCCEEDED') {
        const log = await client.log(run.id).get();
        throw new Error(`Actor failed with status ${run.status}: ${log}`);
    }

    const { items } = await client.dataset(run.defaultDatasetId).listItems();
} catch (error) {
    if (error.message?.includes('not found')) {
        // Actor ID is wrong or Actor was deleted
    } else if (error.statusCode === 401) {
        // Invalid or missing APIFY_TOKEN
    }
    throw error;
}

pip install apify-client

from apify_client import ApifyClient
import os

client = ApifyClient(token=os.environ['APIFY_TOKEN'])

run = client.actor('apify/web-scraper').call(run_input={
    'startUrls': [{'url': 'https://example.com'}],
    'maxPagesPerCrawl': 10,
})

items = client.dataset(run['defaultDatasetId']).list_items().items

run = client.actor('apify/web-scraper').start(run_input={
    'startUrls': [{'url': 'https://example.com'}],
})

# Poll for completion
finished_run = client.run(run['id']).wait_for_finish()

items = client.dataset(finished_run['defaultDatasetId']).list_items().items

from apify_client import ApifyClientAsync

client = ApifyClientAsync(token=os.environ['APIFY_TOKEN'])

run = await client.actor('apify/web-scraper').call(run_input={
    'startUrls': [{'url': 'https://example.com'}],
})

items = (await client.dataset(run['defaultDatasetId']).list_items()).items

POST https://api.apify.com/v2/acts/{actorId}/runs
Authorization: Bearer <APIFY_TOKEN>
Content-Type: application/json

{ "startUrls": [{ "url": "https://example.com" }] }

GET https://api.apify.com/v2/acts/{actorId}/runs/{runId}
Authorization: Bearer <APIFY_TOKEN>

GET https://api.apify.com/v2/datasets/{datasetId}/items?format=json
Authorization: Bearer <APIFY_TOKEN>