Lapels Cleaners
U.S. · 71 locations

71 Lapels locations in 17 states from the store locators and every store page on Lapels' own sites. Lapels is a Clean Franchise Brands company.

More about this list

All are Lapels Cleaners dry cleaners except two Lapels Laundromats that also dry clean; brand says which. Massachusetts has 23, Tennessee 7, and North Carolina and Texas 6 each. Every row has a phone, hours by day and the store's services; Location Services (counter service, pickup and delivery, lockers) are listed on 68, GreenEarth cleaning on 70 and an app link on 31.

71Locations

17States

232Data Fields

October 8, 2026File built

Need just some of them? Ask in your own words.

TryOnly Massachusetts, the state with the most Within 25 miles of Boston, MA, the busiest area Only rows marked green earth cleaning Every Dry Cleaners & Laundry list combined, within 25 miles of Brookline, MA Each one's nearest ZIPS Cleaners Locations, in Massachusetts, with miles

●Where the rows are

Map of where the Lapels Cleaners Locations are — One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

lapels-cleaners-locations.csvscroll →UTF-8

Five sample rows; the file you buy has all 232 columns.

{}What's in each row

Field	What it is	Rows filled
brand	The brand the location trades under (in the bundle: which of the 28 lists the row comes from; Independent for the independents)	100%
parentCompany	The company that owns or franchises the brand, as the chain's own site names it	100%
name	The location's own name as its source publishes it	100%
address	Street address	100%
city	City	100%
state	Two-letter state code (DC for Washington, PR for Puerto Rico)	100%
zip	Five-digit ZIP code	100%
country	Country code (US)	100%
phone	Location phone number	100%
website	The location's own page on the chain's site, or the shop's own website	100%
latitude	GPS latitude	100%
longitude	GPS longitude	100%
locationType	What the location is in its source's own words (Tide's Store, Locker or Concierge; store + 24/7 kiosk; a state register's plant or drop-off)	100%
hours	Opening hours for the week, one entry per day, as the source publishes them	100%
hours_mon	Opening hours on Monday (24-hour clock)	100%
hours_tue	Opening hours on Tuesday (24-hour clock)	100%
hours_wed	Opening hours on Wednesday (24-hour clock)	100%
hours_thu	Opening hours on Thursday (24-hour clock)	100%
hours_fri	Opening hours on Friday (24-hour clock)	100%
hours_sat	Opening hours on Saturday (24-hour clock)	100%
hours_sun	Opening hours on Sunday (24-hour clock)	100%
sourceId	The chain's own id for the location	100%
sourceUrl	The page or feed the row was read from	100%
email	Email address the chain's locator or Overture Maps publishes for the location	13%
hoursLabel	The heading over the store's hours (Hours of Operation, Attendant Hours of Operation ...)	100%
hoursNote	A note under the hours (alteration hours, holiday hours)	3%
kiosk247	The store's 24/7 kiosk, where it has one	4%
services	Services the location's own page lists	100%
locationServices	The store's Location Services: Counter Service, Pick Up & Delivery, Lockers, Laundry Club and so on	96%
greenEarthCleaning	true where the store's page says it cleans with GreenEarth (silicone-based)	99%
tagline	The tagline on the store's page	97%
headline	The heading on the store's page	100%
schedulePickupButton	true where the store's page offers Schedule a Pickup	100%
appGooglePlay	The store's app on Google Play	44%
appAppleStore	The store's app on the Apple App Store	44%
groupLabel	The multi-store owner group the store belongs to, as the chain's site labels it	18%
onStoreLocator	true where the store has a pin on the chain's store locator (false: a live store page with no pin)	100%
locatorId	The store's id on the chain's store locator	97%
locatorTitle	The store's title on the chain's store locator	97%
locatorCounterService	true where the locator marks counter service	97%
locatorPickupDelivery	true where the locator marks pickup and delivery	97%
locatorShowsStreet	true where the locator shows the store's street	97%
locatorServiceFilters	The service filters the locator puts the store under	3%
sitemapSubpages	The store's sub-pages on the chain's site (coupons, lockers, pickup-delivery ...)	99%
src_siteid	The site id of the store's page on the chain's site engine	97%
sources	Every source the row's facts come from, joined with \|: the chain's store locator, Overture Maps, a state dry-cleaner register, EPA ECHO	100%
epaRegistryId	The facility's EPA Facility Registry Service id, from EPA ECHO	3%
stateRegister	Which state dry-cleaner register the row matched: tx-tceq (Texas TCEQ), fl-dep (Florida DEP) or nc-deq (North Carolina DEQ)	10%
stateRegisterId	The location's id in that state register (Texas DCR registration, Florida facility id, North Carolina facility id)	10%
registerLocationType	plant or drop-off, as the state register records the location	7%
solventType	Cleaning solvent the state register records, in one vocabulary: petroleum, perc, silicone, co2, other (Texas) or North Carolina's machine classes (petroleum, halogenated, other); several are joined by " \| "	6%
ownerName	Owner of record in the state register (the Texas principal, or the Florida facility or account owner)	10%
ownerEmail	Owner's email from the Texas dry cleaner owners list	7%
firstRegisteredYear	First Texas fiscal year the register lists the location (2004 means 2004 or earlier)	7%
grossReceiptsBand	Gross receipts band the owner reports to Texas TCEQ, in TCEQ's words	7%
fundEligibility	true where Texas marks the location eligible for its Dry Cleaning Remediation Fund	7%
siteType	What the location is, in one vocabulary across every list: store, plant, drop-off, locker, concierge, laundromat, mobile or restoration	100%
status	Open on the build date (NOW OPEN where the chain's page carries that banner)	100%
directionsUrl	A Google Maps directions link to the location	100%
naicsCode	NAICS industry code: 812320, Drycleaning and Laundry Services (except Coin-Operated)	100%
naicsTitle	Title of the NAICS code	100%
sicCode	SIC industry code: 7216, Drycleaning Plants, Except Rug Cleaning	100%
sicTitle	Title of the SIC code	100%
sicCode2	Second SIC code: 7212, Garment Pressing, and Agents for Laundries and Drycleaners	100%
sicTitle2	Title of the second SIC code	100%
updatedDate	The date the row was built from its source	100%
reg_epa-echo_FacCounty	EPA ECHO facility record — county on the facility's EPA record. Example: "ANCHORAGE"	3%
reg_epa-echo_FacIndianCntryFlg	EPA ECHO facility record — Y where the facility is in Indian country. Example: "N"	3%
reg_epa-echo_FacNAICSCodes	EPA ECHO facility record — NAICS codes on the facility's EPA records. Example: "81232 812320"	3%
reg_epa-echo_FacNAICSDescs	EPA ECHO facility record — titles of those NAICS codes. Example: "812320: Drycleaning and Laundry Services (except…"	3%
reg_epa-echo_RCRAIDs	EPA ECHO facility record — its hazardous waste (RCRA) handler ids. Example: "AKR000003210"	3%
reg_epa-echo_RCRAPermitTypes	EPA ECHO facility record — hazardous waste generator category (VSQG, SQG, LQG or Other). Example: "Other"	3%
reg_epa-echo_FacSNCFlg	EPA ECHO facility record — Y where the facility is in significant noncompliance in any EPA program. Example: "N"	3%
reg_epa-echo_FacQtrsWithNC	EPA ECHO facility record — quarters out of compliance in the last 3 years, across EPA programs. Example: "0"	3%
reg_epa-echo_FacComplianceStatus	EPA ECHO facility record — the facility's compliance status across EPA programs. Example: "No Violation Identified"	3%
reg_epa-echo_RCRAComplianceStatus	EPA ECHO facility record — hazardous waste (RCRA) compliance status. Example: "No Violation Identified"	3%
reg_epa-echo_FacInspectionCount	EPA ECHO facility record — inspections in the last 5 years, across EPA programs. Example: "0"	3%
reg_epa-echo_FacPercentMinority	EPA ECHO facility record — percent minority population near the facility. Example: "45.93"	3%
reg_epa-echo_FacInformalCount	EPA ECHO facility record — informal enforcement actions in the last 5 years. Example: "0"	3%
reg_epa-echo_FacFormalActionCount	EPA ECHO facility record — formal enforcement actions in the last 5 years. Example: "0"	3%
reg_epa-echo_FacTotalPenalties	EPA ECHO facility record — penalties in the last 5 years, in dollars. Example: "0"	3%
reg_epa-echo_FacLastPenaltyAmt	EPA ECHO facility record — amount of the last penalty, in dollars. Example: "700"	3%
reg_epa-echo_FacDerivedWBDHu8	EPA ECHO facility record — 8-digit watershed code. Example: "19020401"	3%
reg_epa-echo_FacDerivedWBDHu8Name	EPA ECHO facility record — 8-digit watershed name. Example: "Lower Coosa"	3%
reg_epa-echo_Fac3yrComplianceHistory	EPA ECHO facility record — compliance across EPA programs in the last 12 quarters, one character a quarter (_ = no violation). Example: "____________"	3%
reg_epa-echo_RCRA3yrComplQtrsHistory	EPA ECHO facility record — hazardous waste compliance in the last 12 quarters, one character a quarter (_ = no violation). Example: "____________"	3%
reg_epa-echo_FacFIPSCode	EPA ECHO facility record — state and county FIPS code. Example: "02020"	3%
reg_epa-echo_FacUsMexBorderFlg	EPA ECHO facility record — Y where the facility is near the US-Mexico border. Example: "N"	1%
reg_epa-echo_FacNaaFlag	EPA ECHO facility record — Y where the facility is in an air quality nonattainment area. Example: "Y"	1%
reg_epa-echo_FacMapIcon	EPA ECHO facility record — the icon ECHO's map uses for the facility. Example: "MULT-IC-MN-N.png"	3%
reg_epa-echo_FacCollectionMethod	EPA ECHO facility record — how EPA placed the map point. Example: "ADDRESS MATCHING-HOUSE NUMBER"	3%
reg_epa-echo_FacReferencePoint	EPA ECHO facility record — what EPA's map point marks. Example: "CENTER OF A FACILITY OR STATION"	3%
reg_epa-echo_FacAccuracyMeters	EPA ECHO facility record — accuracy of EPA's map point, in meters. Example: "30"	3%
reg_epa-echo_FacDerivedHuc	EPA ECHO facility record — 8-digit hydrologic unit (watershed) code. Example: "19020401"	3%
reg_epa-echo_FacDerivedWBD	EPA ECHO facility record — 12-digit watershed boundary code. Example: "190204010806"	3%
reg_epa-echo_FacDerivedStctyFIPS	EPA ECHO facility record — state and county FIPS code EPA derives from the map point. Example: "02020"	3%
reg_epa-echo_FacDerivedZip	EPA ECHO facility record — ZIP code EPA derives from the map point. Example: "99503"	3%
reg_epa-echo_FacDerivedCd113	EPA ECHO facility record — congressional district (113th Congress) of the map point. Example: "01"	3%
reg_epa-echo_FacDerivedCb2010	EPA ECHO facility record — 2010 census block of the map point. Example: "020200014006003"	3%
reg_epa-echo_FacMyrtkUniverse	EPA ECHO facility record — ECHO's MyRTK (My Right-to-Know) universe code, as ECHO publishes it. Example: "NNN"	3%
reg_epa-echo_FacProgramsWithSNC	EPA ECHO facility record — EPA programs in which the facility is in significant noncompliance. Example: "0"	3%
reg_epa-echo_AIRFlag	EPA ECHO facility record — Y where the facility has a Clean Air Act program record. Example: "Y"	3%
reg_epa-echo_NPDESFlag	EPA ECHO facility record — Y where the facility has an NPDES water discharge permit. Example: "N"	3%
reg_epa-echo_SDWISFlag	EPA ECHO facility record — Y where the facility has a Safe Drinking Water Act record. Example: "N"	3%
reg_epa-echo_RCRAFlag	EPA ECHO facility record — Y where the facility has a hazardous waste (RCRA) record. Example: "Y"	3%
reg_epa-echo_TRIFlag	EPA ECHO facility record — Y where the facility reports to the Toxics Release Inventory. Example: "N"	3%
reg_epa-echo_GHGFlag	EPA ECHO facility record — Y where the facility reports greenhouse gas emissions to EPA. Example: "N"	3%
reg_epa-echo_CAAHpvFlag	EPA ECHO facility record — Y where the facility is a Clean Air Act high priority violator. Example: "N"	3%
reg_epa-echo_CWASNCFlag	EPA ECHO facility record — Y where the facility is in significant noncompliance with the Clean Water Act. Example: "N"	3%
reg_epa-echo_RCRANAICS	EPA ECHO facility record — NAICS codes on its hazardous waste record. Example: "81232"	3%
reg_epa-echo_RCRAQtrsWithNC	EPA ECHO facility record — quarters out of hazardous waste compliance in the last 3 years. Example: "0"	3%
reg_epa-echo_RCRASNCFlag	EPA ECHO facility record — Y where the facility is in significant noncompliance with hazardous waste rules. Example: "N"	3%
reg_epa-echo_SDWASNCFlag	EPA ECHO facility record — Y where the facility is in significant noncompliance with the Safe Drinking Water Act. Example: "N"	3%
reg_epa-echo_DfrUrl	EPA ECHO facility record — link to EPA's Detailed Facility Report. Example: "https://echo.epa.gov/detailed-facility-report?fid =…"	3%
reg_epa-echo_SourceID	EPA ECHO facility record — the facility's EPA registry id. Example: "110001717713"	3%
reg_epa-echo_FacMapFlg	EPA ECHO facility record — Y where ECHO can map the facility. Example: "Y"	3%
reg_epa-echo_HasPollRpt	EPA ECHO facility record — Y where the facility has a pollutant report. Example: "N"	3%
reg_epa-echo_CensusBlockGroup	EPA ECHO facility record — census block group of the map point. Example: "020200014013"	3%
reg_epa-echo_TRIbalFlag	EPA ECHO facility record — ECHO's TRIbalFlag field, as ECHO publishes it. Example: "1"	3%
reg_epa-echo_CurrSvFlag	EPA ECHO facility record — 1 where the facility has a current significant violation. Example: "0"	3%
reg_epa-echo_ViolFlag	EPA ECHO facility record — 1 where the facility has a violation in the last 3 years. Example: "0"	3%
reg_epa-echo_CurrVioFlag	EPA ECHO facility record — 1 where the facility has a current violation. Example: "0"	3%
reg_epa-echo_Insp5yrFlag	EPA ECHO facility record — 1 where the facility was inspected in the last 5 years. Example: "0"	3%
reg_epa-echo_Ea5yrFlag	EPA ECHO facility record — 1 where the facility has a formal enforcement action in the last 5 years. Example: "0"	3%
reg_epa-echo_Infea5yrFlag	EPA ECHO facility record — 1 where the facility has an informal enforcement action in the last 5 years. Example: "0"	3%
reg_epa-echo_Lower48	EPA ECHO facility record — Y where the facility is in the lower 48 states. Example: "N"	3%
reg_epa-echo_ActiveLower48	EPA ECHO facility record — ECHO's ActiveLower48 flag, as ECHO publishes it. Example: "N"	3%
reg_epa-echo_FacDerivedWBDHu12Name	EPA ECHO facility record — 12-digit watershed name. Example: "Chester Creek"	3%
reg_epa-echo_EisFlag	EPA ECHO facility record — Y where the facility is in EPA's air emissions inventory (EIS). Example: "N"	3%
reg_epa-echo_TscaFlag	EPA ECHO facility record — Y where the facility has a Toxic Substances Control Act record. Example: "N"	3%
reg_epa-echo_NaaCategories	EPA ECHO facility record — air quality nonattainment standards the area is under. Example: "8-Hour Ozone (2008); 8-Hour Ozone (2015); PM-10 (1987)"	1%
reg_epa-echo_NaaPollutants	EPA ECHO facility record — pollutants of those nonattainment areas. Example: "Ozone; PM-10"	1%
reg_epa-echo_NaStandardsNaa	EPA ECHO facility record — standards of the nonattainment areas. Example: "8-Hour Ozone (2008); 8-Hour Ozone (2015); PM-10 (1987)"	1%
reg_epa-echo_NaPollutantsNaa	EPA ECHO facility record — pollutants of the nonattainment areas. Example: "Ozone; PM-10"	1%
reg_epa-echo_NaStatusNaa	EPA ECHO facility record — Y where the area is in nonattainment. Example: "Y"	1%
reg_epa-echo_SemsFlag	EPA ECHO facility record — Y where the facility has a Superfund (SEMS) record. Example: "Y"	3%
reg_epa-echo_RCRANames	EPA ECHO facility record — the name on its hazardous waste (RCRA) record. Example: "ONE HOUR FIREWEED CLEANERS"	3%
reg_epa-echo_PercentBelowLowincome3mile	EPA ECHO facility record — percent low-income population within 3 miles. Example: "28.21"	3%
reg_epa-echo_PercentPeopleOfColor	EPA ECHO facility record — percent people of color around the facility. Example: "52.69"	3%
reg_epa-echo_AcsPopulationDensity	EPA ECHO facility record — population density around the facility (American Community Survey). Example: "3679.86"	3%
reg_epa-echo_Score	EPA ECHO facility record — ECHO's Score field, as ECHO publishes it. Example: "1"	3%
reg_fl-dep_county	Florida DEP drycleaning register — county number. Example: "59"	3%
reg_fl-dep_facStatus	Florida DEP drycleaning register — facility status (OPEN). Example: "OPEN"	3%
reg_fl-dep_facType	Florida DEP drycleaning register — facility type (drycleaner or wholesale supplier). Example: "1 - Drycleaner"	3%
reg_fl-dep_property_owner_id	Florida DEP drycleaning register — property owner: id	3%
reg_fl-dep_property_owner_name	Florida DEP drycleaning register — property owner: name	3%
reg_fl-dep_property_owner_address	Florida DEP drycleaning register — property owner: mailing address	3%
reg_fl-dep_property_owner_city	Florida DEP drycleaning register — property owner: city	3%
reg_fl-dep_property_owner_state	Florida DEP drycleaning register — property owner: state	3%
reg_fl-dep_property_owner_zip	Florida DEP drycleaning register — property owner: ZIP	3%
reg_fl-dep_property_owner_phone	Florida DEP drycleaning register — property owner: phone	3%
reg_fl-dep_property_owner_startDate	Florida DEP drycleaning register — property owner: start date	3%
reg_fl-dep_account_owner_id	Florida DEP drycleaning register — account owner: id	3%
reg_fl-dep_account_owner_name	Florida DEP drycleaning register — account owner: name	3%
reg_fl-dep_account_owner_address	Florida DEP drycleaning register — account owner: mailing address	3%
reg_fl-dep_account_owner_city	Florida DEP drycleaning register — account owner: city	3%
reg_fl-dep_account_owner_state	Florida DEP drycleaning register — account owner: state	3%
reg_fl-dep_account_owner_zip	Florida DEP drycleaning register — account owner: ZIP	3%
reg_fl-dep_account_owner_contact	Florida DEP drycleaning register — account owner: contact person	3%
reg_fl-dep_account_owner_phone	Florida DEP drycleaning register — account owner: phone	3%
reg_fl-dep_account_owner_startDate	Florida DEP drycleaning register — account owner: start date	3%
reg_fl-dep_facility_owner_id	Florida DEP drycleaning register — facility owner: id	1%
reg_fl-dep_facility_owner_name	Florida DEP drycleaning register — facility owner: name	1%
reg_fl-dep_facility_owner_address	Florida DEP drycleaning register — facility owner: mailing address	1%
reg_fl-dep_facility_owner_city	Florida DEP drycleaning register — facility owner: city	1%
reg_fl-dep_facility_owner_state	Florida DEP drycleaning register — facility owner: state	1%
reg_fl-dep_facility_owner_zip	Florida DEP drycleaning register — facility owner: ZIP	1%
reg_fl-dep_facility_owner_contact	Florida DEP drycleaning register — facility owner: contact person	1%
reg_fl-dep_facility_owner_phone	Florida DEP drycleaning register — facility owner: phone	1%
reg_fl-dep_facility_owner_startDate	Florida DEP drycleaning register — facility owner: start date	1%
reg_fl-dep_tank_operator_id	Florida DEP drycleaning register — tank operator: id	3%
reg_fl-dep_tank_operator_name	Florida DEP drycleaning register — tank operator: name	3%
reg_fl-dep_tank_operator_address	Florida DEP drycleaning register — tank operator: mailing address	3%
reg_fl-dep_tank_operator_city	Florida DEP drycleaning register — tank operator: city	3%
reg_fl-dep_tank_operator_state	Florida DEP drycleaning register — tank operator: state	3%
reg_fl-dep_tank_operator_zip	Florida DEP drycleaning register — tank operator: ZIP	3%
reg_fl-dep_tank_operator_contact	Florida DEP drycleaning register — tank operator: contact person	3%
reg_fl-dep_tank_operator_phone	Florida DEP drycleaning register — tank operator: phone	3%
reg_fl-dep_tank_operator_startDate	Florida DEP drycleaning register — tank operator: start date	3%
reg_epa-echo_FacEPARegion	EPA ECHO facility record — EPA region. Example: "10"	1%
reg_epa-echo_FacSICCodes	EPA ECHO facility record — SIC codes on the facility's EPA records. Example: "7216"	1%
reg_epa-echo_FacSICDescs	EPA ECHO facility record — titles of those SIC codes. Example: "7216: Drycleaning Plants, Except Rug"	1%
reg_epa-echo_AIRIDs	EPA ECHO facility record — its Clean Air Act program ids. Example: "AK0000000202000043"	1%
reg_epa-echo_CAAPermitTypes	EPA ECHO facility record — Clean Air Act permit type. Example: "Minor Emissions"	1%
reg_epa-echo_CAAComplianceStatus	EPA ECHO facility record — Clean Air Act compliance status. Example: "No Violation Identified"	1%
reg_epa-echo_FacDaysLastInspection	EPA ECHO facility record — days since the last inspection. Example: "5485"	1%
reg_epa-echo_FacDateLastInspection	EPA ECHO facility record — date of the last inspection. Example: "09/28/2011"	1%
reg_epa-echo_FacDerivedRadWBDHu8	EPA ECHO facility record — 8-digit watershed code of the nearest reach. Example: "03150107"	1%
reg_epa-echo_FacDerivedRadWBDHu8Name	EPA ECHO facility record — 8-digit watershed name of the nearest reach. Example: "Lower Coosa"	1%
reg_epa-echo_CAA3yrComplQtrsHistory	EPA ECHO facility record — Clean Air Act compliance in the last 12 quarters, one character a quarter (_ = no violation). Example: "____________"	1%
reg_epa-echo_CAANAICS	EPA ECHO facility record — NAICS codes on its Clean Air Act record. Example: "812320"	1%
reg_epa-echo_CAASICs	EPA ECHO facility record — SIC codes on its Clean Air Act record. Example: "7216"	1%
reg_epa-echo_CAAQtrsWithNC	EPA ECHO facility record — quarters out of compliance with the Clean Air Act in the last 3 years. Example: "0"	1%
reg_epa-echo_RCRADaysLastEvaluation	EPA ECHO facility record — days since the last hazardous waste evaluation. Example: "5485"	1%
reg_epa-echo_FacDateLastInspectionState	EPA ECHO facility record — date of the last state inspection. Example: "06/05/1992"	1%
reg_epa-echo_FacDerivedRadWBDHu12	EPA ECHO facility record — 12-digit watershed code of the nearest reach. Example: "031501070402"	1%
reg_epa-echo_FacDerivedRadWBDHu12Name	EPA ECHO facility record — 12-digit watershed name of the nearest reach. Example: "Camp Branch"	1%
reg_epa-echo_MaintStandardsNaa	EPA ECHO facility record — standards of the air quality maintenance areas. Example: "Carbon Monoxide (1971)"	1%
reg_epa-echo_MaintPollutantsNaa	EPA ECHO facility record — pollutants of the air quality maintenance areas. Example: "Carbon Monoxide"	1%
reg_epa-echo_MaintStatusNaa	EPA ECHO facility record — Y where the area is an air quality maintenance area. Example: "Y"	1%
reg_epa-echo_FacStdCountyName	EPA ECHO facility record — standardised county name. Example: "ANCHORAGE MUNICIPALITY"	1%
reg_epa-echo_AIRNames	EPA ECHO facility record — the name on its Clean Air Act record. Example: "ONE HOUR FIREWEED DRYCLEANING-EAST FIREW"	1%
reg_tx-tceq_solvent_type	Texas TCEQ dry cleaner register — solvent type in the register's own words. Example: "PERCHLOROETHYLENE (TETRACHLOROETHYLENE)"	6%
reg_tx-tceq_regulated_entity_number_rn	Texas TCEQ dry cleaner register — regulated entity number (RN). Example: "RN109832253"	7%
reg_tx-tceq_expiration_date	Texas TCEQ dry cleaner register — registration expiration date. Example: "2026-12-31T00:00:00.000"	7%
reg_tx-tceq_solvent_fee_status	Texas TCEQ dry cleaner register — solvent fee status. Example: "N/A - DROP STATION"	7%
reg_tx-tceq_location_county	Texas TCEQ dry cleaner register — county. Example: "BAILEY"	7%
reg_tx-tceq_tceq_region_for_location	Texas TCEQ dry cleaner register — TCEQ region. Example: "REGION 02 - LUBBOCK"	7%
reg_tx-tceq_customer_number_cn	Texas TCEQ dry cleaner register — TCEQ customer number of the owner. Example: "CN600449383"	7%
reg_tx-tceq_account_number	Texas TCEQ dry cleaner register — TCEQ account number. Example: "24001386"	7%
reg_tx-tceq_billing_address	Texas TCEQ dry cleaner register — owner's billing address	7%
reg_tx-tceq_billing_address_line_2	Texas TCEQ dry cleaner register — billing address, second line	7%
reg_tx-tceq_billing_state	Texas TCEQ dry cleaner register — billing state	7%
reg_tx-tceq_billing_zip_code	Texas TCEQ dry cleaner register — billing ZIP	7%
reg_tx-tceq_billing_zip_code_extension	Texas TCEQ dry cleaner register — billing ZIP+4 add-on	7%
reg_tx-tceq_status_year	Texas TCEQ dry cleaner register — fiscal year of the registration. Example: "FY2026"	7%
reg_tx-tceq_capacity_gallons	Texas TCEQ dry cleaner register — solvent capacity in gallons. Example: "55"	6%
reg_tx-tceq_outlet_number	Texas TCEQ dry cleaner register — outlet number. Example: "3"	7%
reg_tx-tceq_location_name	Texas TCEQ dry cleaner register — location name on the registration	6%
reg_tx-tceq_regulated_entity_name	Texas TCEQ dry cleaner register — regulated entity name	7%
reg_tx-tceq_location_type	Texas TCEQ dry cleaner register — registration type: FACILITY (a plant) or DROP STATION. Example: "DROP STATION REGISTRATION"	7%
reg_tx-tceq_ownersList_email	Texas TCEQ dry cleaner register — owners list: owner's email	7%
reg_tx-tceq_ownersList_principalName	Texas TCEQ dry cleaner register — owners list: principal (owner) name	7%
reg_tx-tceq_ownersList_physicalName	Texas TCEQ dry cleaner register — owners list: name at the location	6%
reg_tx-tceq_ownersList_latestFiscalYear	Texas TCEQ dry cleaner register — owners list: latest fiscal year registered	7%
reg_tx-tceq_ownersList_status	Texas TCEQ dry cleaner register — owners list: registration status	7%
reg_tx-tceq_ownersList_customerNumber	Texas TCEQ dry cleaner register — owners list: customer number	7%
geo_precision	How the coordinates were arrived at: source (the publisher's own map point), address (a geocode of the street address), zip centroid or city centroid	100%
county	County name, from the US Census Bureau county list	100%
county_fips	Five-digit county FIPS code	100%
county_note	Set when the ZIP code spans more than one county: which county the row was placed in	25%
address_quality	How complete the street address is: complete, no house number, po box, missing city or zip or missing	100%

Rows filled is measured on every row of the delivered file.

✓Where this data comes from

Each row names the public source it came from, so any record can be checked against where it was published.

October 8, 2026

Snapshot built

232 fields

Columns in the file

Fill measured

On every row of the delivered file

How we build and date every file: methodology.

Using ChatGPT, Claude or an API?

No setup needed. Ask ChatGPT or Claude your question about the Lapels Cleaners Locations and give it this page: it can open https://locationlists.com/find?dataset=lapels-cleaners-locations with the filters you need and show you the count and price.

Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.

How assistants ask

No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.

If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.

Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>

Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>

Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.

Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:

Only Massachusetts, the state with the most: https://locationlists.com/find?dataset=lapels-cleaners-locations&state=MA
Within 25 miles of Boston, MA, the busiest area: https://locationlists.com/find?dataset=lapels-cleaners-locations&near=Boston+MA&radius=25
Within a 30-minute drive of Boston, MA: https://locationlists.com/find?dataset=lapels-cleaners-locations&near=Boston+MA&drive=30
Only rows where greenEarthCleaning is true: https://locationlists.com/find?dataset=lapels-cleaners-locations&where=greenEarthCleaning%3Aeq%3Atrue
Every Dry Cleaners & Laundry list combined, within 25 miles of Brookline, MA: https://locationlists.com/find?category=dry-cleaners&near=Brookline+MA&radius=25
Each one's nearest ZIPS Cleaners Locations, in Massachusetts, with miles: https://locationlists.com/find?dataset=lapels-cleaners-locations&state=MA&relate=nearest&k=1&b.dataset=zips-cleaners-locations&b.state=MA
The whole list: add a city, state, ZIP code or distance: https://locationlists.com/find?dataset=lapels-cleaners-locations
In plain words: "Lapels Cleaners Locations in Massachusetts": https://locationlists.com/find?q=Lapels+Cleaners+Locations+in+Massachusetts
In plain words: "Lapels Cleaners Locations within 25 miles of Boston, MA": https://locationlists.com/find?q=Lapels+Cleaners+Locations+within+25+miles+of+Boston%2C+MA

Optional: connect for repeat use or wallet payments:

Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Lapels Cleaners Locations list.

Your assistant will walk you through setup and show you the price before you pay.

For developers

At 71 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=lapels-cleaners-locations. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works

?Frequently Asked Questions

Does it include Lapels Laundromat?

Yes, where the laundromat dry cleans: two Lapels Laundromat stores list dry cleaning and are in the file under their own brand.

Where do the plant, solvent and owner columns come from?

From the state dry cleaner registers. Texas (TCEQ), Florida (DEP) and North Carolina (DEQ) publish every operating dry cleaner they register. A location that matches its register entry by phone, by street address or by a shared name word within 150 m carries the register's plant or drop-off, solvent, owner of record and ids; stateRegister names the register. EPA ECHO adds its federal registry id and compliance record the same way.

Why are there so many columns?

Because the file keeps every field the chain's locator and store pages publish for each location, not a shortlist: hours, services, prices, kiosks and lockers, and the rest. A column the source fills for only a few locations is still kept, and its fill is shown beside it on this page.

Is this list in the Dry Cleaning Industry Bundle?

Yes. The bundle puts this list together with the other 26 chain lists and 16,550 independent and regional dry cleaners in one CSV, tagged by brand, for less than buying the lists one by one.

How current is it?

Snapshot built on October 8, 2026. It is a one-time snapshot and is not rebuilt on a schedule.

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