Web Data To Excel Scraper
Pricing
Pay per event + usage
Extract user-defined fields from repeated records on public static webpages. Normalize text, numbers, dates, booleans, and URLs into validated dataset rows and a filterable XLSX workbook.
You can access the Web Data To Excel Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
$echo '{< "startUrls": [< {< "url": "https://books.toscrape.com/"< }< ],< "recordSelector": "article.product_pod",< "fields": [< {< "name": "title",< "selector": "h3 a",< "source": "attribute",< "attribute": "title",< "type": "string",< "required": true< },< {< "name": "price",< "selector": ".price_color",< "type": "number",< "pattern": "([0-9.]+)",< "required": true< },< {< "name": "productUrl",< "selector": "h3 a",< "source": "attribute",< "attribute": "href",< "type": "url",< "required": true< }< ],< "maxItems": 20<}' |<apify call automation-lab/schema-guided-web-data-to-excel --silent --output-datasetThe Apify CLI is the official tool that allows you to use Web Data To Excel Scraper locally, providing convenience functions and automatic retries on errors.
Using installation script (macOS/Linux):
$curl -fsSL https://apify.com/install-cli.sh | bashUsing installation script (Windows):
$irm https://apify.com/install-cli.ps1 | iexUsing Homebrew:
$brew install apify-cliUsing npm:
$npm install -g apify-cliOther API clients include: