Business Locations Analyzer — 28M+ Records

Find local business prospects for web design, SEO and digital marketing, then prioritize your own research by location, reviews and digital-presence signals. Business Locations Analyzer searches a historical 28M+ location snapshot across 14 countries and a separate collection of official company branches. Use it for internal prospect research, market analysis and your CRM.

Find leads for your agency

Your service	Find with the analyzer	Your next step
Website creation	Businesses with no recorded website and an available phone	Check whether a website exists today and assess a suitable service offer
Website redesign or SEO	Businesses with a recorded website, filtered by industry and area	Audit the actual site before diagnosing design, speed or SEO problems
Local marketing	Location segments with review activity and digital-presence signals	Research the business and its local context
Territory planning	Filtered counts and phone/website coverage by country	Compare segments before exporting a small sample

Try a 5-record sample: choose a country and business collection, set hasPhone: true, and select noWebsite: true for website-creation candidates or hasWebsite: true for site-audit candidates. Open Business locations to inspect the results. Copy the tested JSON examples. Use countOnly: true to preview a segment without paid result rows.

websiteOpportunityScore helps prioritize research; digitalPresenceScore describes listing completeness. The analyzer does not audit website quality or establish that a business needs your services. Missing sites and contacts must be checked against current information. Keep prospects in your own CRM; resale, redistribution and unsolicited bulk messaging are prohibited safeguards. Data, scores and applicable outreach requirements need independent verification.

More ways to use Business Locations Analyzer

Who it helps	Research goal	Supported filters and outputs
B2B suppliers and industry SaaS teams	Find restaurants for POS research, hotels for equipment services, salons for booking tools or repair shops for business software	businessCollection, country/city, phone/website filters and small CRM exports
Retailers and franchise teams	Research an area before opening a location	Category plus radius, countOnly, coordinates, ratings and review counts
Local operators and consultants	Compare businesses in the same market	Category/city segments, rating, review count, hours and digital-presence signals
Partnership and channel teams	Research prospective partners, distributors and local service networks	Category, geography, minRating, minReviews, phone and website
Brand and chain researchers	Investigate a brand's geographic presence	companies, nameMatch, snapshot or official-website locations, source verification and observation dates
CRM and sales operations teams	Check or supplement their own business records	Name/geography searches, normalized addresses, phone, website and locationId

B2B supplier and SaaS prospect research

For example, select restaurants to research possible customers for restaurant equipment or business software. Select hotels, beauty_salons or auto_repair for other verticals. This finds businesses in an industry; it does not reveal their installed software, purchasing budget or intention to buy.

{
  "dataSource": "snapshot",
  "countries": ["it"],
  "businessCollection": "restaurants",
  "hasPhone": true,
  "hasWebsite": true,
  "minReviews": 20,
  "maxItems": 5,
  "sortBy": "reviews",
  "intendedUse": "internal_business_research"
}

Location and franchise expansion research

Count a category around a proposed location before requesting individual records. This example counts cafes within 5 km of central Rome:

{
  "dataSource": "snapshot",
  "countries": ["it"],
  "businessCollection": "coffee_shops",
  "nearLatitude": 41.9028,
  "nearLongitude": 12.4964,
  "radiusKm": 5,
  "countOnly": true,
  "intendedUse": "site_planning"
}

Open Count preview / COUNT_SUMMARY. These are matching observations in the covered snapshot, not a complete census or proof of demand. Foot traffic, rent, demographics, spending and predicted revenue are not provided. A count can inform research; it cannot establish that an area is underserved.

Competitor, partner and chain research

For local comparisons, select the same category and geography, then inspect ratings, reviews and listing signals. For partnership research, combine minRating / minReviews with phone or website filters and verify candidates independently. These rating filters work with the snapshot source only.

For chain research, use companies and nameMatch or choose dataSource: official_websites with officialCountries. Check source verification and dates in the Official website locations view. Name matches do not establish legal ownership or franchise status, and coverage may omit branches. Neither mode provides live competitor monitoring, Google ranking, review sentiment or a measured market share.

Research for your own CRM

Search by name and geography and compare returned business details with your existing records. Use locationId as a key in your own deduplication workflow; it is derived from location facts and can change when those facts change. Bulk CSV upload/matching and native HubSpot/Salesforce synchronization are not implemented. Standard Apify exports can support your own import workflow.

All these scenarios are for internal research and your own organization. They do not authorize resale, redistribution, customer-facing data products or unsolicited bulk messages. Verify historical observations and applicable outreach requirements before acting on any candidate.

Start with a market analysis

For aggregate analysis without exporting individual records, use the snapshot source and set analyticsOnly: true:

{
  "dataSource": "snapshot",
  "countries": ["it"],
  "businessCollection": "pharmacies",
  "analyticsOnly": true,
  "intendedUse": "market_analysis"
}

Open Aggregate market analytics in the run Output, or the MARKET_ANALYTICS JSON record. It contains filtered location counts, phone/website coverage, average ratings and review counts, and observation dates by country. No individual Dataset rows are created in this mode. countOnly provides counts without record exports for either source. Official-site mode supports location research and counts; these market aggregates are available only for the snapshot.

You can also export selected location records for internal research and your own CRM. This capability remains available and is subject to the usage safeguards below; the product is not offered for data resale or redistribution.

Quick start: choose the right location source

Choose the source, country, collection and result limit, then run. No additional acknowledgement checkbox is required. The legacy acceptTerms input is ignored, including saved inputs with false; usage restrictions remain described below.

Usage boundary: internal research and your own CRM only. Do not resell or redistribute exported records, put them into a customer-facing data product, or use them for spam, harassment or unlawful profiling. See Responsible use before exporting. Running the Actor does not establish consent from the people or businesses appearing in the output.

Use dataSource=snapshot for the existing 14-country business-listing snapshot. Use dataSource=official_websites for the separate collection of company branches from official websites. The default remains snapshot for existing integrations.

The input form starts with a limit of 5 results. Existing API inputs and saved Tasks retain their explicit limits. Preview coverage with countOnly before requesting a larger export.

Small official-website export:

{
  "dataSource": "official_websites",
  "officialCountries": ["US"],
  "hasPhone": true,
  "maxItems": 5,
  "intendedUse": "internal_business_research"
}

Choose the Official website locations Dataset view to see the official page, verification status and age of the record together. country is a recognized ISO country code (plus XK); countryRaw preserves the original value. Unknown values are returned with country=null, never guessed from an address. Use officialCountries=["UNKNOWN"] to inspect that group, or listCountries=true to obtain normalized counts without exporting rows. Names such as United States and aliases such as USA are accepted. Raw-value filters remain supported.

Official data supports company, city, postal-code, region, phone, website, radius, freshness and export/count filters. Ratings, review counts, ownership flags, collections and snapshot analytics are unavailable in this mode. Use the snapshot source for those features. Source verification does not guarantee that a phone works today or that a location is still open.

Delivered rows use the existing tiered price: $0.015 each on FREE and $0.007 on BRONZE–DIAMOND, plus the Actor start event and platform usage. Five delivered rows therefore cost $0.075 or $0.035 in row events, respectively. Check the Pricing tab and set a run spending limit; owner QA runs do not measure customer billing.

Query the maintained business-location snapshot for research instead of waiting for a new live scrape. Analyze a segment by country, city, category or radius, or investigate physical branches by company name. Optional internal-use exports include normalized addresses, phones, websites, ratings, opening hours and coordinates through Apify's standard Dataset formats and API.

The delivered-location price pays for the work and infrastructure required to collect, clean, normalize coordinates, deduplicate, structure, maintain, query and deliver the snapshot and its calculated analytics. The Creator does not claim ownership of underlying public business facts merely because they were collected or structured.

Data-quality notice: this is a historical snapshot, not a verified live registry. Records and calculated scores may be inaccurate, incomplete, duplicated or outdated. Validate important details independently before use.

Search 28.2M+ business-location records across 14 countries. Current coverage:

Country	Locations
Germany	5.40M+
Italy	4.45M+
United Kingdom	4.31M+
Turkey	3.41M+
Spain	3.21M+
Netherlands	1.27M+
Ukraine	1.04M+
France	1.03M+
Poland	945K+
Belgium	822K+
Portugal	819K+
Austria	714K+
Sweden	594K+
Romania	253K+

Counts were verified on 2026-09-13. Run listCountries for machine-readable coverage metadata.

The 2026-09-13 launch audit also verified all 40 ready-made collections against live private runs. Across all 196 data sources, coordinates are present on 100% of rows and the source snapshot dates range from 2026-08-19 through 2026-08-26. Source-specific identifiers, photos and email addresses are not returned.

Common searches

• Find every available location of a company or retail brand.
• Build a list of restaurants, banks, pharmacies, hotels or other businesses.
• Export local prospects that have a phone or website.
• Find businesses without websites for agency outreach.
• Create map-ready datasets with addresses and coordinates.
• Find businesses within a radius of any map coordinate.
• Count a segment before exporting any paid rows.

Lead research for web-design, SEO and local marketing agencies

Use the analyzer to shortlist businesses for your own CRM and investigate potential service needs. A record is a research candidate, not a verified sales lead or evidence that the business wants to buy. The use safeguards apply: no resale, redistribution, spam or unsolicited bulk messaging. Public contact details are not marketing consent; verify details and assess outreach rules.

Find active-looking businesses with no recorded website

This snapshot example finds Italian restaurants with a phone number, at least 20 reviews and no website recorded. Closed locations are excluded by default. Missing a website in the snapshot does not prove the business has no site today.

{
  "dataSource": "snapshot",
  "countries": ["it"],
  "businessCollection": "restaurants",
  "noWebsite": true,
  "hasPhone": true,
  "minReviews": 20,
  "sortBy": "reviews",
  "maxItems": 5,
  "intendedUse": "internal_business_research"
}

Review websiteOpportunityScore, digitalPresenceScore, reviewCount, contactabilityScore, dataConfidenceScore and dataAsOf together. These estimates help prioritize manual research, not predict purchases. You can sort exported records by a score in your own analysis; the Actor's sortBy supports reviews, distance and name, not opportunity-score ordering or score thresholds.

Find businesses with websites for a separate site audit

{
  "dataSource": "snapshot",
  "countries": ["it"],
  "businessCollection": "restaurants",
  "hasWebsite": true,
  "hasPhone": true,
  "minReviews": 20,
  "sortBy": "reviews",
  "maxItems": 5,
  "intendedUse": "internal_business_research"
}

Use the returned website values as candidates for a separate website audit. This analyzer does not visit websites or test design, loading speed, mobile usability, SEO, security or broken pages. A low digitalPresenceScore means missing listing signals; it is not a bad-website diagnosis. websiteOpportunityScore combines whether a website is recorded with rating and review signals, not a technical website-quality assessment. Audit the site and confirm findings before claiming that a business needs a redesign or SEO.

For territory planning, add city or radius filters. Preview the same segment with countOnly: true before exporting a larger sample. Ratings/review filters in these examples apply to the snapshot source, not official-site mode.

Why use a business-location analyzer?

This Actor queries an existing location snapshot. It is designed for bulk POI research, branch discovery, territory planning and local lead generation where you need predictable coverage and export volume.

Business Locations Analyzer	Live map scraper
Search 28.2M+ already collected records	Collects records during every run
Preview a segment count before exporting	Final result volume is often unknown
Export up to 10,000 normalized rows for a narrowly filtered segment	Search-page limits can restrict each query
Repeatable global sorting within each run	Results may change while pages are collected
Snapshot dates are disclosed	Usually fresher at the moment of collection

Choose this analyzer for repeatable market research and filtered exports. Choose a live scraper when the newest possible listing changes, review text or website contact enrichment matter more than immediate scale.

Start in three steps

1. Run countOnly: true with a country and collection or custom filters. Open Count preview to see the volume without creating paid Dataset rows.
2. Disable countOnly and request a small sample such as maxItems: 100. Check field availability and relevance before ordering a large export.
3. Refine country, category, company and geographic filters before increasing maxItems, which is capped at 10,000 records per run.

For the lowest-cost validation, request five rows first. At the paid-plan rate the delivered-row charge is $0.035, plus the start event and platform usage. Inspect that sample before purchasing a larger result window.

Ready-made business collections

Choose businessCollection instead of learning category names. Each collection contains tested category aliases, so coffee_shops covers both coffee shops and cafes, while banks includes banks, savings banks and credit unions but removes food-bank and blood-bank matches.

The catalog contains 40 collections, including banks, coffee shops, pharmacies, restaurants, hotels, supermarkets, dentists, doctors, medical clinics, veterinarians, opticians, real estate agencies, car dealers, auto repair shops, gas stations, car washes, gyms, beauty salons, schools, day care, bakeries, bars and pubs, lawyers, accountants, insurance agencies, travel and marketing agencies, photographers, electricians, plumbers, cleaning and moving services, construction companies, roofers, landscapers, florists and pet stores.

Collection aliases use exact discovery categories to avoid substring mistakes such as bars matching barber shops. Custom categories remain flexible partial matches and can be combined with any collection.

{
  "countries": ["fr"],
  "businessCollection": "coffee_shops",
  "countOnly": true,
  "intendedUse": "market_analysis"
}

Open COUNT_SUMMARY to see the available volume, then rerun with countOnly: false and maxItems to export a filtered segment.

Find company branches

Use a brand name together with a category to prevent unrelated street, transit stop or landmark matches:

{
  "countries": ["at"],
  "companies": ["McDonald's"],
  "nameMatch": "starts_with",
  "categories": ["restaurant"],
  "excludeCategories": ["bus stop"],
  "maxItems": 100,
  "intendedUse": "internal_business_research"
}

contains finds the widest set of matches, starts_with is the recommended default for well-known brands, and exact returns only identical business names.

Discover businesses

Company names are optional. Search an entire category in one or more cities:

{
  "countries": ["at"],
  "categories": ["pharmacy"],
  "cities": ["Linz"],
  "hasPhone": true,
  "maxItems": 250,
  "intendedUse": "internal_business_research"
}

Search around a point

Use coordinates and a radius together. The result includes distanceKm, so it can be ranked or filtered further after export:

{
  "countries": ["at"],
  "categories": ["restaurant"],
  "nearLatitude": 48.2082,
  "nearLongitude": 16.3738,
  "radiusKm": 2,
  "sortBy": "distance",
  "hasOpeningHours": true,
  "maxItems": 100,
  "intendedUse": "site_planning"
}

You can also filter by postalCodes, states and minimum rating or review count. Permanently closed locations are excluded unless includeClosed is enabled.

Output

Each Dataset row represents one physical location and can include:

• name, address, city, postal code, state and country;
• phone and website when available in the selected country;
• rating, review count and business categories;
• latitude, longitude and a provider-neutral locationId generated by this Actor;
• opening hours, claimed/closed status, distance and the observation date;
• freshness, confidence, digital-presence, contactability, review-strength, website-opportunity and market-competition scores;
• the ready-made collection id when a collection was selected.

Field availability varies by country. A missing phone or website is returned as null; it is not inferred or guessed. Scores are indicators, not verified facts.

Example Dataset row:

{
  "locationId": "loc_94be7fd8c23658efea180c1a",
  "name": "Example Pharmacy",
  "address": "12 Market Street",
  "city": "Manchester",
  "postalCode": "M1 1AA",
  "country": "GB",
  "phone": "+44 161 000 0000",
  "website": "https://example.com",
  "rating": 4.6,
  "reviewCount": 128,
  "categories": ["Pharmacy"],
  "latitude": 53.4808,
  "longitude": -2.2426,
  "isClosed": false,
  "collection": "pharmacies",
  "dataAsOf": "2026-08-24T00:00:00+00:00",
  "freshnessDays": 20,
  "methodologyVersion": "2026-09-13.1",
  "digitalPresenceScore": 90,
  "dataConfidenceScore": 94
}

The current snapshot was collected between August 19 and August 26, 2026. Coordinates are present for all 28.27M records. Email, source-specific IDs, photos, booking links and raw source attributes are deliberately excluded. Claimed-profile filtering is hidden because the current sources do not provide positive claimed flags.

Data provenance and storage

The underlying records were collected from business-listing pages that were publicly accessible without signing in. The collection process did not use a paid official listings API.

This Actor does not visit those pages during a run. It queries a pre-collected snapshot held in managed storage and returns the matching rows. Results are therefore repeatable, but they are not live and a business may have changed since the recorded dataAsOf date.

Public accessibility does not by itself grant unlimited reuse rights. This section describes the collection and delivery method; it is not a warranty that every possible downstream use is lawful.

The Actor uses its own one-way locationId, calculated from normalized location facts. It never returns the source identifier used during collection. A creator-managed suppression list is applied before Dataset rows are written.

Analytics methodology

Set analyticsOnly: true to receive non-row-level market analytics in MARKET_ANALYTICS. The result includes filtered location counts, phone and website coverage, average rating and review count, and the oldest/newest observation dates by country. No individual Dataset rows are created.

Row-level scores use methodology version 2026-09-13.1 and a 0–100 scale:

• digitalPresenceScore uses website, phone, hours and claimed signals;
• websiteOpportunityScore is higher for locations without a website and with stronger review signals;
• reviewStrengthScore combines rating and logarithmically scaled review count;
• contactabilityScore uses the presence of phone and website;
• marketCompetitionPercentile is a heuristic review-volume benchmark, not an observed percentile of every business in the market;
• dataConfidenceScore combines field completeness and snapshot age.

These scores are deterministic analytical estimates. They are not credit, consumer, employment, health or legal assessments and must not be used for high-impact decisions about individuals.

Count and discovery previews

Set countOnly: true to save the number of matches in COUNT_SUMMARY without creating Dataset rows. Set listCategories: true to save available category names and counts in CATEGORIES. Set listCountries: true to save the current country catalog in COUNTRIES; this mode does not require a country selection. Set listCollections: true to save collection ids and category aliases in COLLECTIONS. Catalog modes do not require a country selection. All preview modes also write a structured SUMMARY. Set analyticsOnly: true for aggregate metrics in MARKET_ANALYTICS without creating result rows. They do not create result rows, so no per-location charge applies; normal platform runtime usage may still apply.

The Output selector is a list of separate outputs, not alternative views of the same Dataset. Business locations contains the paid location rows. The other entries open JSON records for the run summary or discovery modes. Country and collection catalogs are included in every run; count and category outputs show instructions when their modes were not requested, so an output no longer opens as an unexplained empty page.

Pricing

The price is $0.007 per delivered location ($7 per 1,000) on paid Apify plans. The Free-plan tier is $0.015 per location ($15 per 1,000). A small Actor-start event and platform usage are charged separately. Empty results and preview modes do not incur per-location charges.

What does an export actually cost?

Delivered locations	Paid Apify plans	Apify Free plan
5	$0.035	$0.075
100	$0.70	$1.50
1,000	$7.00	$15.00
10,000	$70.00	$150.00

These amounts are the delivered-location fee. The small Actor-start event and normal Apify platform usage are additional. Use countOnly: true before a large export to check the available volume without paying per location.

How does this compare with lead-data services?

This Actor has no separate monthly data subscription: you pay for the business locations delivered. For context, UpLead Essentials lists $99 per month for 170 contact credits, with one credit unlocking one contact. That is about $0.58 per enriched contact before considering unused monthly credits, compared with $0.007 per location here on paid Apify plans.

The products are not identical. UpLead includes person-level enrichment such as verified emails and mobile direct dials. This Actor delivers physical business and branch records and excludes email. The comparison explains the different price level rather than claiming equivalent data.

Some live map scrapers can be cheaper per raw row. This Actor's value is immediate access to a disclosed 28.2M-record snapshot, free counts, bulk filtering and consistent scoring.

The compared price was checked on 2026-09-13 and can change. Follow the linked official pricing page for current terms.

The Actor uses pay per event. Apify is retiring monthly rental pricing, so a new subscription-priced Store Actor is not a durable launch option.

Export limits

Each run is limited to 10,000 rows and offset pagination is disabled. Narrow the request by country, company, collection, category, city, postal code, region or radius. These controls discourage bulk replication of the entire location snapshot.

Sorting is global across every selected country and underlying data segment. hasMore is based on a one-row lookahead rather than on page size alone. If any source remains unavailable after retries, the run stops before creating paid Dataset rows, so retrying the same input cannot silently skip a recovered segment.

If the run's Apify maximum-charge ceiling is reached, Dataset upload stops at the last accepted row. rowsReturned reflects the rows actually stored.

Large result windows are staged on local temporary storage and uploaded in bounded batches instead of being retained in memory as one large list.

Frequently asked questions

Is this a live map scraper?

No. It searches a pre-collected business-location snapshot. This makes large exports fast and repeatable, but a recently changed listing may not yet be reflected in the historical snapshot.

Can I check how many results exist before paying for an export?

Yes. Use countOnly: true. It writes the match total to COUNT_SUMMARY and does not create per-location Dataset charges.

Does every record contain a phone and website?

No. These fields are returned only when present in the snapshot. Coordinates are available throughout the current dataset. Email is not returned.

Can I find businesses without websites?

Yes. Set noWebsite: true, optionally combine it with a collection, city, minimum rating or minimum review count, and request a small sample first.

How do I export more than 10,000 rows?

The Actor does not provide unrestricted offset traversal. Split a legitimate research request into narrower geographic or category segments. Bulk snapshot replication and redistribution are prohibited.

API and MCP

Actor ID: apivault_labs/business-locations-analyzer

For an MCP-compatible client:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=apivault_labs/business-locations-analyzer"
    }
  }
}

AI agents should send explicit countries, a small maxItems, and a company/category filter. An empty Dataset is a valid successful result; inspect SUMMARY to distinguish zero matches from a partial data-source failure.

Responsible use

Use of the Actor is governed by Apify's Standard Actor Contract. That contract already requires independent verification of Actor Output, places responsibility for downstream output use on the user, provides the Actor as-is/as-available and limits the Creator's aggregate contractual liability to USD 100, subject to non-waivable law. Its limitations do not exclude fraud, negligently caused death or personal injury, or other non-excludable liability. The product safeguards below do not replace that contract or modify statutory rights. In particular, they do not transfer the Creator's own collection, licensing or data-protection obligations to the user.

The Actor and its Creator are independent from, and are not sponsored, authorized or endorsed by, any company or brand that may appear in search input or output. Company and brand names identify the business being searched only.

The Actor is intended for internal business research, market analysis, site planning and maintaining the user's own CRM. Users are responsible for having an appropriate lawful basis and for providing any notices required by privacy, marketing and communications laws.

Do not:

• resell, sublicense, publish or redistribute exported records, whether free or paid, including a selected subset or records repackaged in another format;
• share the output outside the purchasing individual or the single legal entity operating the purchasing Apify account;
• embed or repackage output in a customer-facing SaaS product, downloadable dataset, API, application or data marketplace;
• use the output to train, fine-tune, evaluate or enrich an AI/LLM model;
• use the output to create or augment a competing business-listing directory;
• use it for spam, harassment, stalking, discrimination, impersonation, fraud, unlawful profiling or unsolicited bulk messaging;
• infer sensitive personal information or make credit, employment, housing, insurance or healthcare eligibility decisions about individuals;
• represent snapshot data as verified current information without independent checks.

These boundaries concern redistribution of exported records and data products; they do not prohibit internal reports or aggregated research findings that do not disclose or allow reconstruction of individual records. Users remain responsible for their inputs, campaign choices, recipients, lawful basis, required notices, opt-outs, export security and downstream rights requests. Publicly visible contact details are not evidence of marketing consent.

Output is provided as available and may be incomplete, duplicated or outdated. No warranty is made about accuracy, completeness, uniqueness, merchant status, fitness for a particular purpose, commercial value or continued availability. Users must independently verify records and scores before consequential use. Requests to access, correct or remove a business or personal record can be submitted to the Creator through the Issues tab on this Actor's Apify page.

The Actor excludes photos, email, source-specific identifiers and raw source payloads. The usage restrictions are described here; there is no separate checkbox gate. intendedUse defaults to internal business research. The Creator may refuse, limit or suspend access when the declared or observed use creates legal, privacy, security or abuse risk.

Report suspected abuse or submit a privacy/data-quality request through the Issues tab. Do not post identity documents or sensitive evidence publicly; request a private channel when verification is needed. Users should inspect purchased output within seven days; this commercial review period does not reduce privacy rights or statutory remedies. See ACCEPTABLE_USE_POLICY.md, PRIVACY.md, DATA_REQUESTS.md and the draft END_USER_TERMS_DRAFT.md in the source package. The draft is not active.

Broader redistribution or product-embedding rights are not included. They may exist only under a separate written license that has been legally reviewed and is permitted by Apify. Billing, refunds and payment disputes are governed by Apify's applicable platform terms; this README does not override them.

The governing contract takes precedence if a product safeguard conflicts with it. Additional contractual output-license restrictions or customer indemnities require legally reviewed custom terms and the process in Apify Store Publishing Terms, section 4. No custom contract or indemnity is activated by this README. There is no technical control over copies users have already exported; the safeguards are not a claim that resale or misuse can be automatically prevented.

These usage rules allocate responsibility for a user's downstream conduct. They do not exclude responsibilities that applicable law places on the Creator.

Official website locations

Select dataSource: official_websites to read the separate collector output. Use officialCountries to filter countries (empty searches all), listCountries to discover values, or countOnly for a preview. Ratings and review counts are unavailable in this collection. Count, export, suppression, deduplication and existing usage restrictions apply; category catalogs and market analytics currently use the listing snapshot only. The output catalog refreshes automatically as collector storage partitions rotate.