Waterproofing Locations

612 US waterproofing businesses, from national chains to single independent shops, with address, phone, website and map coordinates.

$3.48for all 612 waterproofing businesses (641 listings, 29 duplicates merged), by card.

Buy the whole list — 612 rows · $3.48

Or ask for the part you need: an area, a distance, a condition. Counts and previews are free, and each answer shows its exact price.

Sample data

waterproofing-locations.csvscroll →UTF-8
nameaddresscitystatezipphonewebsiteoverture idbrandbrand idwikidatacategorycategory pathbasic categoryemailsocialoperating statusconfidencesource datasetsource record idsource idssource updateddata licenselocation typelocation type confidencelocation type basislatitudelongitude
Crawl Space Brothers8 Wendy Ct Ste A1GreensboroNC27409(336) 937-0954https://crawlspacebrothers.com/ba3583df-1965-4f77-be13-806a038b476ewaterproofing|services_and_business|home_service|waterproofing|home_serviceopen0.92Microsoft281474980171727Microsoft:281474980171727|Overture-signals:773d4473-57e1-4dd5-bd81-a0181c281abb2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: none in its path; category: waterproofing names a business, not premises36.075657-79.895206
Allpro Crawlspace Repair & Stabilizing7407 Carolina Beach RdWilmingtonNC28412(910) 274-9825https://www.allprocrawlspacerepairnc.com/08212a00-96e2-4196-b6cb-c9f400f64e20waterproofing|services_and_business|home_service|waterproofing|home_serviceopen0.92Microsoft2251799821017129Microsoft:2251799821017129|Overture-signals:e5b2f97d-1074-4bb9-8aba-656bfe6db98c2026-08-10Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: none in its path; category: waterproofing names a business, not premises34.071909-77.893799
Sump Pump Gurus | Bedminster432 US 202, Unit 314BedminsterNJ07921(908) 224-0550http://www.sumppumpgurus.com/bedminster791129e9-3644-4147-b77f-cf9db03a841awaterproofing|services_and_business|home_service|waterproofing|home_service0.85Microsoft1688849863773807Microsoft:16888498637738072020-08-16Overture Maps Foundation, CDLA-Permissive-2.0unknownname: no premises word; website: none in its path; category: waterproofing names a business, not premises40.682137-74.640606
Three sample rows; the file you buy has all 28 columns.

What's in each row

FieldWhat it is
overture_idMap data id for the place, stable across monthly releases
nameBusiness name
brandBrand or chain name, when the place belongs to one
brand_idOur id for that brand (its Wikidata id where one exists)
wikidataWikidata id of the brand
categoryKind of place, from the map data
category_pathThe category with every broader category above it
basic_categoryA broader, simpler category
addressStreet address
cityCity
stateState (two-letter code)
zipZIP code
phonePhone number
websiteWebsite
emailEmail address
socialSocial media page
latitudeLatitude
longitudeLongitude
operating_statusWhether the place is open, where the source says; closed places are left out of the list
confidenceHow sure the map data is that the place exists (0 to 1)
source_datasetWhich source contributed the record
source_record_idThe record's id in that source
source_idsEvery source record merged into this row
source_updatedWhen the source last updated the record
data_licenseThe license the row is published under
location_typeKind of premises: store, office, branch, warehouse and so on, read from the name, website and category
location_type_confidenceHow sure the location type is (0 to 1)
location_type_basisWhat the location type was read from

Source & license

Open map data from the Overture Maps Foundation, release of August 2026, refreshed monthly. Closed and low-confidence places are removed and duplicates within 50 meters merged. Contains data from Overture Maps Foundation (https://overturemaps.org), Places theme, licensed CDLA-Permissive-2.0 (https://cdla.dev/permissive-2-0/); some sources are Apache-2.0. See https://docs.overturemaps.org/attribution/.

Using ChatGPT, Claude or an API?

Ask this list a question with a link

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.

Open one of these to see how many places match, a few preview rows and the price for just those rows:

  • The whole list: add a city, state, ZIP code or distance: https://locationlists.com/find?dataset=waterproofing-locations

Ask in ChatGPT or Claude

Copy this and paste it in:

Using LocationLists, how many waterproofing places are in New Jersey? Show a sample and the price.

Every answer shows its exact price before you pay, by card, no account; the whole list is $3.48. Counts, previews and comparisons with other lists are free.

For developers

Dataset slug waterproofing-locations. Machine-readable record: dataset.json. Without a connector, every one of these answers comes from a link: https://locationlists.com/find?dataset=waterproofing-locations. Works in every MCP tool and the x402 query API like any other dataset (count_locations, get_sample, query_locations, relate_locations, count_by_area, cotenancy).