Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

Lightfeed Python SDK

Official Python client library for interacting with the Lightfeed API. Extract, search, and filter web data with a simple and intuitive interface.

Features

  • Simple and intuitive interface for accessing Lightfeed APIs
  • Semantic search and advanced filtering capabilities
  • Full type definitions for better developer experience
  • Comprehensive error handling
  • Support for pagination

Installation

pip install lightfeed

Quick Start

from lightfeed import LightfeedClient, Condition, Operator

# Initialize client with your API key
client = LightfeedClient({
    "apiKey": "YOUR_API_KEY"
})

# Retrieve records
def get_recent_records():
    try:
        response = client.get_records("your-database-id", {
            "start_time": "2024-01-01T00:00:00Z",
            "limit": 100
        })
        
        print(f"Retrieved {len(response['results'])} records")
        print(response["results"])
    except Exception as e:
        print(f"Error retrieving records: {e}")

# Search records
def search_for_companies():
    try:
        response = client.search_records("your-database-id", {
            "search": {
                "text": "innovative AI solutions",
                "threshold": 0.3
            },
            "filter": {
                "condition": Condition.AND,
                "rules": [
                    {
                        "column": "industry",
                        "operator": Operator.EQUALS,
                        "value": "Technology"
                    }
                ]
            }
        })
        
        print(f"Found {len(response['results'])} matching records")
    except Exception as e:
        print(f"Error searching records: {e}")

API Documentation

Configuration

{
  "apiKey": str,        # required
  "baseUrl": str,       # optional, defaults to 'https://api.lightfeed.ai'
  "timeout": float      # optional, defaults to 30.0 seconds
}

Methods

get_records

Retrieves records from a database with optional filtering by time range.

client.get_records(database_id: str, params: Optional[GetRecordsParams]) -> RecordsResponse

Parameters:

  • databaseId (string): The ID of your Lightfeed database
  • params (optional): Query parameters
    • start_time (string, optional): Start of time range (ISO 8601)
    • end_time (string, optional): End of time range (ISO 8601)
    • limit (number, optional): Maximum records to return (default: 100, max: 500)
    • cursor (string, optional): Pagination cursor

Returns: Records response containing results and pagination information

For detailed specifications and examples, see Get Records API

search_records

Performs semantic search on your database records with optional filtering.

client.search_records(database_id: str, params: SearchRecordsParams) -> RecordsResponse

Parameters:

  • databaseId (string): The ID of your Lightfeed database
  • params: Search parameters
    • search.text (string): The text to search for
    • search.threshold (number, optional): Minimum relevance score (0-1)
    • filter (object, optional): Filtering conditions
    • time_range (object, optional): Time range constraints
    • pagination (object, optional): Pagination options

Returns: Records response containing results with relevance scores

For detailed specifications and examples, see Search Records API

filter_records

Applies complex filtering conditions to database records.

client.filter_records(database_id: str, params: FilterRecordsParams) -> RecordsResponse

Parameters:

  • databaseId (string): The ID of your Lightfeed database
  • params: Filter parameters
    • filter (object): Filtering conditions using rules and operators
    • time_range (object, optional): Time range constraints
    • pagination (object, optional): Pagination options

Returns: Records response containing filtered results

For detailed specifications and examples, see Filter Records API

Authentication

All API requests require authentication using your Lightfeed API key. You can generate an API key in the Lightfeed dashboard under "API Keys".

client = LightfeedClient({
  "apiKey": "YOUR_API_KEY"
})

Error Handling

The client library handles HTTP errors from the API and converts them into structured LightfeedError objects.

from lightfeed import LightfeedError

try:
    records = client.get_records("your-database-id")
except LightfeedError as e:
    print(f"Error {e.status}: {e.message}")
    
    # Handle specific error types
    if e.status == 401:
        print("Authentication failed. Please check your API key")
    elif e.status == 404:
        print("Database not found")
    # ...

Documentation

For comprehensive documentation and guides, visit the Lightfeed Documentation.

Support

If you need assistance with your implementation:

Metadata

Release files for lightfeed 0.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lightfeed 0.1.6
File Size Uploaded
lightfeed-0.1.6.tar.gz 8.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for lightfeed 0.1.6
File Interpreter ABI Platform
lightfeed-0.1.6-py3-none-any.whl Python 3 none any Details

Total release size: 15.3 kB

Release files / lightfeed-0.1.6.tar.gz

Download URL lightfeed-0.1.6.tar.gz
Size 8.1 kB
Tags Source
SHA-256 checksum
How to use checksums
f321a1393ecea8ace5ace2da5bffe5e3d635321fee433ffdd0e9afe740ee40f5
BLAKE2b-256 checksum
How to use checksums
d2dc4ae35f2a18a0cd5f1a48be31cd569e0ce1eb0255adf76585833d9242c0c3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.9

Release files / lightfeed-0.1.6-py3-none-any.whl

Download URL lightfeed-0.1.6-py3-none-any.whl
Size 7.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f336bcf365a1f3b902fbf8c14e8e66801412925e30050c7957b06f1aab1151ce
BLAKE2b-256 checksum
How to use checksums
35d65df00ed126c805ad125375a1ace64c671f4e49acc44f6f8bd23faaf2e37a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.9
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page