Add configurable parallel/sequential pagination with parallel parameter

- 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

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -94,6 +94,17 @@ properties = scrape_property(
 )
 ```
 
+#### Pagination Control
+```py
+# Sequential mode with early termination (more efficient for narrow filters)
+properties = scrape_property(
+    location="Los Angeles, CA",
+    listing_type="for_sale",
+    updated_in_past_hours=2,  # Narrow time window
+    parallel=False  # Fetch pages sequentially, stop when filters no longer match
+)
+```
+
 ## Output
 ```plaintext
 >>> properties.head()
@@ -234,7 +245,9 @@ Optional
 │
 ├── limit (integer): Limit the number of properties to fetch. Max & default is 10000.
 │
-└── offset (integer): Starting position for pagination within the 10k limit. Use with limit to fetch results in chunks.
+├── offset (integer): Starting position for pagination within the 10k limit. Use with limit to fetch results in chunks.
+│
+└── parallel (True/False): Controls pagination strategy. Default is True (fetch pages in parallel for speed). Set to False for sequential fetching with early termination (useful for rate limiting or narrow time windows).
 ```
 
 ### Property Schema

homeharvest/__init__.py

@@ -48,6 +48,8 @@ def scrape_property(
     # New sorting parameters
     sort_by: str = None,
     sort_direction: str = "desc",
+    # Pagination control
+    parallel: bool = True,
 ) -> Union[pd.DataFrame, list[dict], list[Property]]:
     """
     Scrape properties from Realtor.com based on a given location and listing type.
@@ -96,6 +98,9 @@ def scrape_property(
     :param year_built_min, year_built_max: Filter by year built
     :param sort_by: Sort results by field (list_date, sold_date, list_price, sqft, beds, baths, last_update_date)
     :param sort_direction: Sort direction (asc, desc)
+    :param parallel: Controls pagination strategy. True (default) = fetch all pages in parallel for maximum speed.
+        False = fetch pages sequentially with early termination checks (useful for rate limiting or narrow time windows).
+        Sequential mode will stop paginating as soon as time-based filters indicate no more matches are possible.
 
     Note: past_days and past_hours also accept timedelta objects for more Pythonic usage.
     """
@@ -190,6 +195,8 @@ def scrape_property(
         # New sorting
         sort_by=sort_by,
         sort_direction=sort_direction,
+        # Pagination control
+        parallel=parallel,
     )
 
     site = RealtorScraper(scraper_input)

homeharvest/core/scrapers/__init__.py

@@ -55,6 +55,9 @@ class ScraperInput(BaseModel):
     sort_by: str | None = None
     sort_direction: str = "desc"
 
+    # Pagination control
+    parallel: bool = True
+
 
 class Scraper:
     session = None
@@ -141,6 +144,9 @@ class Scraper:
         self.sort_by = scraper_input.sort_by
         self.sort_direction = scraper_input.sort_direction
 
+        # Pagination control
+        self.parallel = scraper_input.parallel
+
     def search(self) -> list[Union[Property | dict]]: ...
 
     @staticmethod

homeharvest/core/scrapers/realtor/__init__.py

@@ -526,39 +526,49 @@ class RealtorScraper(Scraper):
         total = result["total"]
         homes = result["properties"]
 
-        # Pre-check: Should we continue pagination?
-        # This optimization prevents unnecessary API calls when using time-based filters
-        # with date sorting. If page 1's last property is outside the time window,
-        # all future pages will also be outside (due to sort order).
-        should_continue_pagination = self._should_fetch_more_pages(homes)
+        # Fetch remaining pages based on parallel parameter
+        if self.offset + self.DEFAULT_PAGE_SIZE < min(total, self.offset + self.limit):
+            if self.parallel:
+                # Parallel mode: Fetch all remaining pages in parallel
+                with ThreadPoolExecutor() as executor:
+                    futures_with_offsets = [
+                        (i, executor.submit(
+                            self.general_search,
+                            variables=search_variables | {"offset": i},
+                            search_type=search_type,
+                        ))
+                        for i in range(
+                            self.offset + self.DEFAULT_PAGE_SIZE,
+                            min(total, self.offset + self.limit),
+                            self.DEFAULT_PAGE_SIZE,
+                        )
+                    ]
 
-        # Only launch parallel pagination if needed
-        if should_continue_pagination and self.offset + self.DEFAULT_PAGE_SIZE < min(total, self.offset + self.limit):
-            with ThreadPoolExecutor() as executor:
-                # Store futures with their offsets to maintain proper sort order
-                # Start from offset + page_size and go up to offset + limit
-                futures_with_offsets = [
-                    (i, executor.submit(
-                        self.general_search,
-                        variables=search_variables | {"offset": i},
+                    # Collect results and sort by offset to preserve API sort order
+                    results = []
+                    for offset, future in futures_with_offsets:
+                        results.append((offset, future.result()["properties"]))
+
+                    results.sort(key=lambda x: x[0])
+                    for offset, properties in results:
+                        homes.extend(properties)
+            else:
+                # Sequential mode: Fetch pages one by one with early termination checks
+                for current_offset in range(
+                    self.offset + self.DEFAULT_PAGE_SIZE,
+                    min(total, self.offset + self.limit),
+                    self.DEFAULT_PAGE_SIZE,
+                ):
+                    # Check if we should continue based on time-based filters
+                    if not self._should_fetch_more_pages(homes):
+                        break
+
+                    result = self.general_search(
+                        variables=search_variables | {"offset": current_offset},
                         search_type=search_type,
-                    ))
-                    for i in range(
-                        self.offset + self.DEFAULT_PAGE_SIZE,
-                        min(total, self.offset + self.limit),
-                        self.DEFAULT_PAGE_SIZE,
                     )
-                ]
-
-                # Collect results and sort by offset to preserve API sort order across pages
-                results = []
-                for offset, future in futures_with_offsets:
-                    results.append((offset, future.result()["properties"]))
-
-                # Sort by offset and concatenate in correct order
-                results.sort(key=lambda x: x[0])
-                for offset, properties in results:
-                    homes.extend(properties)
+                    page_properties = result["properties"]
+                    homes.extend(page_properties)
 
         # Apply client-side hour-based filtering if needed
         # (API only supports day-level filtering, so we post-filter for hour precision)

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "homeharvest"
-version = "0.8.3"
+version = "0.8.4"
 description = "Real estate scraping library"
 authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
 homepage = "https://github.com/ZacharyHampton/HomeHarvest"