Introduction
Search1API's Extract API (Beta) gives developers the power to turn messy web content into clean, structured data. Using natural language prompts and JSON schema definitions, you can now extract exactly what you need from any webpage with field-level precision. This game-changing capability eliminates hours of manual data gathering and transforms how applications can leverage web content.
Authentication
Like all Search1API endpoints, you'll need to authenticate using your Bearer token:
Authorization: Bearer your_api_key_here
How It Works
The Extract API is refreshingly straightforward. Simply provide:
1. The target URL
2. What you want to extract (in plain language)
3. The structure you expect back
Here's a quick example that pulls NBA game results:
POST https://api.search1api.com/extract
{
"url": "https://sports.yahoo.com/nba/scoreboard/?confId=&dateRange=2025-04-11",
"prompt": "Extract all head-to-head match results including date, teams, final scores, and halftime scores if available.",
"response_format": {
"type": "json_schema",
"json_schema": {
"type": "object",
"properties": {
"matches": {
"type": "array",
"items": {
"type": "object",
"properties": {
"date": {
"type": "string",
"format": "date"
},
"home_team": {
"type": "string"
},
"away_team": {
"type": "string"
},
"home_score": {
"type": "integer"
},
"away_score": {
"type": "integer"
}
},
"required": [
"date",
"home_team",
"away_team",
"home_score",
"away_score"
]
}
}
},
"required": [
"matches"
]
}
}
}The API then works its magic and returns:
{
"success": true,
"extractParameters": {
"url": "https://sports.yahoo.com/nba/scoreboard/?confId=&dateRange=2025-04-11"
},
"results": {
"matches": [
{
"date": "2025-04-11",
"home_team": "Philadelphia76ers",
"away_team": "AtlantaHawks",
"home_score": 110,
"away_score": 124
},
{
"date": "2025-04-11",
"home_team": "IndianaPacers",
"away_team": "OrlandoMagic",
"home_score": 115,
"away_score": 129
}
]
}
}Key Features
Beyond Simple Scraping
Extract API doesn't just grab text from websites – it understands context. Tell it what you want in plain English, and it delivers structured, accurate results.
Field-Level Precision
Define exactly how you want your data structured using JSON Schema. Get integers where you need numbers, strings where you need text, and arrays where you need lists.
Smart Content Recognition
The API recognizes various content patterns, from product details to sports scores to news articles – no matter how the original website presents them.
Cost-Effective Power
At just 10 credits per request, you're getting exceptional value for transforming unstructured web content into clean, usable data.
Real-World Applications
E-commerce Intelligence
Track competitor pricing, monitor product availability, and aggregate reviews across platforms – all automatically and in real-time.
Research & Analysis
Pull financial data, research findings, or industry statistics from multiple sources into consistent, analyzable formats.
Content Aggregation
Build news readers, event trackers, and information dashboards that present consolidated data from diverse sources.
Data Enrichment
Supplement your existing datasets with rich web content, giving your applications deeper context and insight.
Implementation Tips
Crafting Effective Prompts
Keep prompts clear and specific. "Extract product price, rating, and available sizes" works better than "Get product info."
Designing Your Schema
Start simple and iterate. Begin with core fields and expand as needed. Use appropriate data types to ensure clean output.
def extract_product_details(product_url):
data = {
'url': product_url,
'prompt': 'Extract the product name, current price, average rating, and available sizes.',
'response_format': {
'type': 'json_schema',
'json_schema': {
'type': 'object',
'properties': {
'product_name': {'type': 'string'},
'price': {'type': 'number'},
'rating': {'type': 'number'},
'available_sizes': {
'type': 'array',
'items': {'type': 'string'}
}
}
}
}
}
response = requests.post(
'https://api.search1api.com/extract',
headers=headers,
json=data
)
return response.json()['results']Error Handling
Implement retries for temporary failures and validate response data before processing. Some pages may return partial data depending on their structure and content.
Why Developers Love Extract API
Our Extract API stands out because it:
- Understands context, not just HTML structure
- Adapts to changing websites without breaking your code
- Delivers clean, typed data ready for immediate use
- Requires minimal configuration – just tell it what you want
- Works with virtually any public website
Getting Started
Visit our API documentation to start extracting structured data today. Transform how your applications interact with web content and unlock new possibilities for data-driven features!
Questions? Our support team is ready to help you implement Extract API in your specific use case. We can't wait to see what you build!
No comments yet