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Strategy Methods

Strategy methods allow you to create and manage AI-generated extraction strategies. See the MeterClient reference for complete method signatures.

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Quick reference

MethodDescription
generate_strategy()Generate a new extraction strategy using AI
refine_strategy()Improve an existing strategy with feedback
list_strategies()List all strategies
get_strategy()Get details for a specific strategy
delete_strategy()Delete a strategy and associated data

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Common workflows

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Generate and refine

from meter_sdk import MeterClient

client = MeterClient(api_key="sk_live_...")

# Generate initial strategy
result = client.generate_strategy(
    url="https://shop.com/products",
    description="Extract product name, price, and image",
    name="Product Scraper"
)

# Check preview
print(result['preview_data'][:3])

# Refine if needed
if 'sku' not in result['preview_data'][0]:
    refined = client.refine_strategy(
        strategy_id=result['strategy_id'],
        feedback="Also extract the product SKU"
    )
    print(refined['preview_data'][:3])

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List and filter

# Get all strategies
strategies = client.list_strategies()

# Find by name
product_strategies = [
    s for s in strategies
    if 'product' in s['name'].lower()
]

# Most recent
recent = client.list_strategies(limit=5, offset=0)

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Batch operations

# Delete old strategies
strategies = client.list_strategies(limit=100)

for strategy in strategies:
    # Delete if created more than 30 days ago
    if is_old(strategy['created_at']):
        client.delete_strategy(strategy['id'])
        print(f"Deleted {strategy['name']}")

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See also

Full Method Reference

Complete parameter and return type documentation

Strategies Concept

Understand strategy lifecycle and best practices

REST API

Strategy endpoints in the REST API

Quick Start

Generate your first strategy

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Need help?

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