Facility: 001691
Blue Ridge Secure Self-Storage
- Facility ID
- 001691
- Name
- Blue Ridge Secure Self-Storage
- URL
- https://www.blueridgesecurestorage.com/#contact
- Address
- 104 Utah Mountain Rd, Waynesville, NC 28786, USA, Waynesville, North Carolina 28786
- Platform
- custom_facility_001691
- Parser File
- src/parsers/custom/facility_001691_parser.py
- Last Scraped
- 2026-03-27 13:48:38.649389
- Created
- 2026-03-14 16:21:53.706708
- Updated
- 2026-03-27 13:48:38.675704
- Parser Status
- ✓ Working
- Status Reason
- N/A
- Last Healing Attempt
- Not attempted
Parser Source (src/parsers/custom/facility_001691_parser.py)
"""Parser for Blue Ridge Secure Self-Storage."""
from __future__ import annotations
import re
from bs4 import BeautifulSoup
from src.parsers.base import BaseParser, ParseResult, UnitResult
class Facility001691Parser(BaseParser):
"""Extract storage units from Blue Ridge Secure Self-Storage."""
platform = "custom_facility_001691"
_UNIT_RE = re.compile(
r"(\d+\s*[\'\'\u2032]?\s*[xX\u00d7]\s*\d+\s*[\'\'\u2032]?)"
r"[^\$]{0,120}"
r"\$(\d[\d,.]*)",
re.DOTALL,
)
_PRICE_SIZE_RE = re.compile(
r"\$(\d[\d,.]*)"
r".{0,120}"
r"(\d+\s*[\'\'\u2032]?\s*[xX\u00d7]\s*\d+\s*[\'\'\u2032]?)",
re.DOTALL,
)
_SIZE_ONLY_RE = re.compile(
r"(\d+\s*[\'\'\u2032]?\s*[xX\u00d7]\s*\d+\s*[\'\'\u2032]?)"
)
def parse(self, html: str, url: str = "") -> ParseResult:
soup = BeautifulSoup(html, "lxml")
result = ParseResult(platform=self.platform, parser_name=self.__class__.__name__)
for tag in soup.find_all(["script", "style"]):
tag.decompose()
body_text = soup.get_text(separator="\n")
seen: set[tuple[str, str]] = set()
# Try size-then-price pattern
for m in self._UNIT_RE.finditer(body_text):
size_text = m.group(1).strip()
price_text = m.group(2).strip()
key = (size_text, price_text)
if key in seen:
continue
seen.add(key)
unit = UnitResult()
unit.size = size_text
w, ln, sq = self.normalize_size(size_text)
if w is not None:
unit.metadata = {"width": w, "length": ln, "sqft": sq}
unit.price = self.normalize_price(price_text)
unit.description = m.group(0).strip()[:200]
if unit.size or unit.price:
result.units.append(unit)
# Try price-then-size pattern if no results
if not result.units:
for m in self._PRICE_SIZE_RE.finditer(body_text):
price_text = m.group(1).strip()
size_text = m.group(2).strip()
key = (size_text, price_text)
if key in seen:
continue
seen.add(key)
unit = UnitResult()
unit.size = size_text
w, ln, sq = self.normalize_size(size_text)
if w is not None:
unit.metadata = {"width": w, "length": ln, "sqft": sq}
unit.price = self.normalize_price(price_text)
unit.description = m.group(0).strip()[:200]
if unit.size or unit.price:
result.units.append(unit)
# Fallback: extract sizes without prices
if not result.units:
seen_sizes: set[str] = set()
for m in self._SIZE_ONLY_RE.finditer(body_text):
size_text = m.group(1).strip()
if size_text in seen_sizes:
continue
w, ln, sq = self.normalize_size(size_text)
if w is None or w < 3 or ln < 3:
continue
seen_sizes.add(size_text)
unit = UnitResult()
unit.size = size_text
unit.metadata = {"width": w, "length": ln, "sqft": sq}
result.units.append(unit)
if not result.units:
result.warnings.append("No units found via regex")
return result
Scrape Runs (5)
-
exported Run #17412026-03-27 13:48:35.808151 | 4 units | Facility001691Parser | View Data →
-
exported Run #17402026-03-27 13:48:35.005618 | 4 units | Facility001691Parser | View Data →
-
exported Run #11332026-03-23 02:50:14.088553 | 4 units | Facility001691Parser | View Data →
-
exported Run #6382026-03-21 18:40:06.808358 | 4 units | Facility001691Parser | View Data →
-
exported Run #1892026-03-14 16:23:38.029907 | 4 units | Facility001691Parser | View Data →
Run #1741 Details
- Status
- exported
- Parser Used
- Facility001691Parser
- Platform Detected
- table_layout
- Units Found
- 4
- Stage Reached
- exported
- Timestamp
- 2026-03-27 13:48:35.808151
Timing
| Stage | Duration |
|---|---|
| Fetch | 2759ms |
| Detect | 18ms |
| Parse | 9ms |
| Export | 17ms |
Snapshot: 001691_20260327T134838Z.html · Show Snapshot · Open in New Tab
Parsed Units (4)
5' x 10'
$35.00/mo
10' x 10'
$50.00/mo
10' x 15'
$65.00/mo
10' x 20'
$80.00/mo