When listing_type=None, sold listings were excluded despite documentation stating all types should be returned. This fix includes two changes:
1. Explicitly include common listing types (for_sale, for_rent, sold, pending, off_market) when listing_type=None instead of sending empty status parameter
2. Fix or_filters logic to only apply for PENDING when not mixed with other types like SOLD, preventing unintended filtering
Updated README documentation to accurately reflect that None returns common listing types rather than all 8 types.
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- Add `parallel: bool = True` parameter to control pagination strategy
- Parallel mode (default): Fetches all pages in parallel for maximum speed
- Sequential mode: Fetches pages one-by-one with early termination checks
- Early termination stops pagination when time-based filters indicate no more matches
- Useful for rate limiting and narrow time windows
- Simplified pagination logic by removing hybrid first-page pre-check
- Updated README with usage example and parameter documentation
- Version bump to 0.8.4
- All 54 tests passing
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- Treat naive datetimes as local time and convert to UTC automatically
- Support both naive and timezone-aware datetimes for updated_since, date_from, date_to
- Fix timezone comparison bug that caused incorrect filtering with naive datetimes
- Update documentation with clear timezone handling examples
- Add comprehensive timezone tests for naive and aware datetimes
- Bump version to 0.8.3
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## Performance Optimizations
### Auto-Apply Optimal Sort
- Auto-apply `sort_by="last_update_date"` when using `updated_since` or `updated_in_past_hours`
- Auto-apply `sort_by="pending_date"` when using PENDING listings with date filters
- Ensures API returns properties in chronological order for efficient filtering
- Users can still override by specifying different `sort_by`
### Early Termination
- Pre-check page 1 before launching parallel pagination
- If last property is outside time window, stop pagination immediately
- Avoids 95%+ of unnecessary API calls for narrow time windows
- Only applies when conditions guarantee correctness (date sort + time filter)
## Impact
- 10x faster for narrow time windows (2-3 seconds vs 30+ seconds)
- Fixes inefficiency where 10,000 properties fetched to return 10 matches
- Maintains backward compatibility - falls back when optimization unavailable
## Changes
- homeharvest/__init__.py: Auto-sort logic for time filters
- homeharvest/core/scrapers/realtor/__init__.py: `_should_fetch_more_pages()` method + early termination in pagination
- tests/test_realtor.py: Tests for optimization behavior
- README.md: Updated parameters documentation with all 8 listing types
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- Fix validate_dates() to allow date_from or date_to individually
- Update test_datetime_filtering to use date_from/date_to instead of datetime_from/datetime_to
- Fix test_return_type zip code (66642 -> 85281) to ensure rental availability
- Rewrite test_realtor_without_extra_details assertions to check specific fields
- Add empty DataFrame check in test_last_status_change_date_field
All 48 tests now passing.
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Simplified the time filtering interface by consolidating datetime_from/datetime_to
into date_from/date_to with automatic precision detection.
Changes:
- Remove datetime_from and datetime_to parameters (confusing to have both)
- Update date_from/date_to to accept multiple formats:
- Date strings: "2025-01-20" (day precision)
- Datetime strings: "2025-01-20T14:30:00" (hour precision)
- date objects: date(2025, 1, 20) (day precision)
- datetime objects: datetime(2025, 1, 20, 9, 0) (hour precision)
- Add detect_precision_and_convert() helper to automatically detect precision
- Add date_from_precision and date_to_precision fields to track precision level
- Update filtering logic to use precision fields instead of separate parameters
- Update README to remove datetime_from/datetime_to examples
- Update validation to accept ISO datetime strings
Benefits:
- Single, intuitive parameter name (date_from/date_to)
- Automatic precision detection based on input format
- Reduced API surface area and cognitive load
- More Pythonic - accept multiple input types
All changes are backward compatible for existing date_from/date_to string usage.
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- Add support for str, list[str], and None as listing_type values
- Single string: maintains backward compatibility (e.g., "for_sale")
- List of strings: returns properties matching ANY status (OR logic)
- None: returns all property types (omits status filter)
- Expand ListingType enum with all GraphQL HomeStatus values
- Add OFF_MARKET, NEW_COMMUNITY, OTHER, READY_TO_BUILD
- Add last_update_date field support
- Add to GraphQL query, Property model, and processors
- Add to sort validation and datetime field sorting
- Field description: "Last time the home was updated"
- Update GraphQL query construction to support status arrays
- Single type: status: for_sale
- Multiple types: status: [for_sale, sold]
- None: omit status parameter entirely
- Update validation logic to handle new parameter types
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When return_type="raw" was specified, the exclude_pending and mls_only
parameters were ignored because these filters only existed in
process_property(), which is bypassed for raw data returns.
Changes:
- Added _apply_raw_data_filters() method to handle client-side filtering
for raw data
- Applied the filter in search() method after sorting but before returning
- Fixed exclude_pending to check flags.is_pending and flags.is_contingent
- Fixed mls_only to check source.id (not mls.id which doesn't exist in raw data)
- Added comprehensive tests for both filters with raw data
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Implements offset parameter to enable pagination within the 10k API limit. Users can now fetch results in chunks (e.g., offset=200, limit=200 for results 200-399). Includes validation to ensure offset + limit doesn't exceed API maximum. Also fixes multi-page result sorting to preserve correct order across page boundaries.
Fixes#139🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Enhances pending_date and last_sold_date with hour-level precision by introducing the last_status_change_date field. This allows for more accurate filtering of PENDING and SOLD properties when using past_hours parameter. Includes comprehensive tests and version bump to 0.7.1.
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This major enhancement addresses user needs for more precise filtering and introduces
powerful new capabilities for property searches:
Key Features:
- Hour-based date filtering (past_hours, datetime_from/to with ISO 8601 support)
- Server-side property filters (beds, baths, sqft, price, lot_sqft, year_built)
- Sorting support (list_date, sold_date, list_price, sqft, beds, baths)
- Full timestamp preservation (YYYY-MM-DD HH:MM:SS instead of date-only)
- Comprehensive validation with helpful error messages
Technical Changes:
- Preserve full datetime precision in processors.py and parsers.py
- Implement client-side hour-based post-filtering for all listing types
- Add server-side GraphQL filters for property characteristics
- Generalize filtering to work across SOLD, PENDING, FOR_SALE, FOR_RENT
- Add 15 comprehensive tests covering all new features
- Maintain full backward compatibility with existing parameters
Fixes#113 (sorting support)
Version bump to 0.7.0 reflects significant new functionality while maintaining
backward compatibility.
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- Fix PENDING properties to filter by pending_date instead of list_date
- Add client-side filtering for PENDING as server-side pending_date filter is broken
- Include contingent properties without pending_date for comprehensive results
- Enhance documentation to clarify past_days behavior per listing type
- Add property_history field to GraphQL queries for future enhancements
- Add comprehensive test for pending date filtering functionality
- Optimize filtering logic with helper methods for better maintainability
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