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SerperFastHigh

Serper Scrape

Fetch one web page through Serper - clean text (optionally markdown), page metadata and JSON-LD. 5 credits per page.

5 credits
per page (2 Serper credits)
Clean page text, optionally markdown
Meta tags and Open Graph
JSON-LD structured data

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Quick Start

curl -X POST "https://api.core.today/v1/predictions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: cdt_your_api_key" \
  -d '{
  "model": "serper/scrape",
  "input": {
    "url": "https://docs.tavily.com/documentation/api-credits",
    "includeMarkdown": true
  }
}'

Parameters

ParameterTypeRequiredDefaultDescription
urlstringYes-Web page URL to fetch.
includeMarkdownbooleanNofalseAlso return the page as markdown.

Common Parameters

Common parameters used when calling POST /v1/predictions.

ParameterTypeRequiredDefaultDescription
modelstringYes-Model identifier
inputobjectYes-Object containing the model-specific parameters from the table above
output_folderstringNo-Folder path for output files (max 256 chars, '..' not allowed)
webhook_urlstringNo-Webhook URL to call on completion
is_publicbooleanNofalseIf true, output files are also available via permanent public URLs

Examples

Basic request

A typical request with the most common options.

curl -X POST "https://api.core.today/v1/predictions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: cdt_your_api_key" \
  -d '{
  "model": "serper/scrape",
  "input": {
    "url": "https://docs.tavily.com/documentation/api-credits",
    "includeMarkdown": true
  }
}'

Tips & Best Practices

1The result is the provider's JSON as-is (text, markdown, metadata, jsonld)
2Links in the result point to the original pages - nothing is copied to your storage

Use Cases

Reading a search result in full
Extracting product or article metadata
Feeding pages into RAG pipelines