Google Ads Transparency Center Scraper | Google Ads Library API & Monitoring (2026)

31 published-ad fields, 244 regions, and 153 spend ranges: search the Google Ads Transparency Center and export complete creative, advertiser, political, enforcement, and raw source data.

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clearpath/google-ads-transparency-scraper on Apify. Exports published, removed, and political Google ad transparency records. Call ApifyClient("TOKEN").actor("clearpath/google-ads-transparency-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items. Choose exactly one operation per run. Full spec: GET https://api.apify.com/v2/acts/clearpath~google-ads-transparency-scraper/builds/default (Bearer TOKEN) → inputSchema, actorDefinition.storages.dataset, readme. Token: https://console.apify.com/account/integrations

Use this point-and-click Google Ads library scraper for competitor research, political-ad analysis, removed-ad review, or recurring campaign monitoring. Developers can run the same workflows through the Apify API, CLI, schedules, webhooks, Make, Zapier, or n8n.

Google Ads Library scraper features

• Google Ads Transparency Center API export: search by advertiser name, domain, direct advertiser ID, or explicit political candidate, then download structured records.
• Google Ads competitor analysis: collect creative formats, rendering URLs, first and last shown dates, countries, platforms, impressions, and advertiser identity.
• Google political ads transparency: export spend, impression ranges, payer data, regulatory IDs, targeting, and aggregate political statistics.
• Google ads monitoring: save repeatable inputs as Apify Tasks and schedule daily or weekly checks with webhooks and integrations.

Choose one operation per run:

1. published_ads returns normal or political ads with creative, advertiser, and geographic enrichment.
2. removed_ads returns Google's Europe-wide removed-ad feed with policy and enforcement details.
3. political_statistics returns one aggregate political record with spend, ad count, format, advertiser, geography, daily, and rounding buckets.

How to scrape Google Ads Transparency Center data

1. Open Google Ads Transparency Scraper on the Input tab.
2. Choose published ads, removed ads, or political statistics.
3. Add a search query and optional filters, then set maxResults.
4. Start the run and open Dataset to download JSON, CSV, Excel, HTML, XML, or RSS.

Search every matching Nike advertiser

{
  "operation": "published_ads",
  "searchQuery": "Nike",
  "queryType": "auto",
  "advertiserMatchMode": "all",
  "maxResults": 100,
  "topic": "all",
  "regions": [],
  "platforms": [],
  "adFormat": "all"
}

Run a Google political ads search by advertiser ID

{
  "operation": "published_ads",
  "searchQuery": "AR13196022309535612929",
  "queryType": "advertiser_id",
  "advertiserMatchMode": "all",
  "maxResults": 100,
  "topic": "political",
  "regions": ["US"],
  "platforms": [],
  "adFormat": "all",
  "sort": "most_recent"
}

Export US political advertising statistics

{
  "operation": "political_statistics",
  "regions": ["US"]
}

Review ads removed in Europe

{
  "operation": "removed_ads",
  "maxResults": 100
}

Google Ads Transparency Center input parameters

Parameter	Type	Default	Description
operation	string	published ads	Select published ads, removed ads, or political statistics.
searchQuery	string or null	null	Enter an advertiser name, domain, AR advertiser ID, or explicit candidate name.
queryType	string	auto	Select automatic, name, domain, advertiser ID, or candidate matching. Candidate matching also needs the political topic and a supported political region.
advertiserMatchMode	string	all	Resolve every matching advertiser or select the strongest match.
maxResults	integer	100	Maximum ad rows. Set 0 for unlimited.
topic	string	all	Select all ads or political ads.
regions	string array	empty	Choose from all 244 website regions. Empty means worldwide for published ads.
platforms	string array	empty	Filter Google Search, YouTube, Shopping, Maps, or Play.
adFormat	string	all	Select all, text, image, or video ads.
dateFrom	date or null	null	Earliest shown date in YYYY-MM-DD format.
dateTo	date or null	null	Latest shown date in YYYY-MM-DD format.
impressionRanges	string array	empty	Select one or more of the 11 website impression buckets.
spendRanges	string array	empty	Select one or more of 153 currency-specific spend buckets.
sort	string	default	Use default, newest, oldest, spend high/low, or impressions high/low.

Political ads and statistics support AR, AU, BR, CL, IN, IL, MX, NZ, ZA, TW, GB, and US. Political statistics require exactly one supported region.

Removed ads accept only operation and maxResults. Conflicting filters fail validation instead of being ignored.

Automatic query detection treats an AR value followed by 20 digits as an advertiser ID. A hostname or URL is normalized to a domain. Other text resolves as an advertiser name. Candidate matching is explicit only: set queryType to candidate, topic to political, and select at least one of the supported political regions listed above.

The default all-match mode resolves every matching advertiser without silent truncation. Use best-match mode when you want one strongest creative-count match. Political statistics support only one resolved advertiser.

What data can you extract from Google Ads Transparency Center?

The default dataset has typed views for published ads, removed ads, and political statistics. Every record includes recordType, enrichmentStatus, completeness, unmappedFields, and raw.

The examples below come from successful runs. Repeated arrays are shortened after one complete item and state how many same-shape items remain. Raw source bodies use a clear retention marker because the complete objects are too large for a README, but the dataset stores the full values.

Published Google ad output

{
  "recordType": "published_ad",
  "enrichmentStatus": "complete",
  "advertiserId": "AR13196022309535612929",
  "advertiserName": "MARKETFUEL SUBSCRIPTION SERVICES",
  "creativeId": "CR11522903995353923585",
  "formatCode": 1,
  "format": "TEXT",
  "firstShown": "2026-03-12T06:39:23.816284Z",
  "lastShown": "2026-08-03T19:19:15.518807Z",
  "servedDays": 144,
  "matchedDomain": null,
  "transparencyUrl": "https://adstransparency.google.com/advertiser/AR13196022309535612929/creative/CR11522903995353923585",
  "reportedByUser": false,
  "politicalRegions": ["US"],
  "advertiserUnverified": false,
  "impressions": {"lower":400000,"upper":450000},
  "spend": {"lower":[{"currency":"USD","units":3000,"nanos":0,"amount":"3000"}],"upper":[{"currency":"USD","units":3500,"nanos":0,"amount":"3500"}]},
  "renderings": [{"scriptUrl":null,"iframeUrl":null,"htmlSnippet":"<img src=\"https://tpc.googlesyndication.com/archive/simgad/8358979474923857597\" height=\"209\" width=\"348\">","mediaUrl":"https://tpc.googlesyndication.com/archive/simgad/8358979474923857597","previewUrl":"https://tpc.googlesyndication.com/archive/simgad/8358979474923857597","policyState":null,"isVariation":true,"variationType":null},"[2 more items retained in the dataset]"],
  "servedCountries": ["PT","[47 more items retained in the dataset]"],
  "targeting": {"ages":{"included":[],"excluded":[]},"genders":{"included":[],"excluded":[]},"geographies":{"included":[{"criterionId":2840,"name":"United States","fullName":"United States","featureType":{"code":2,"name":"COUNTRY"},"containerCriterionIds":[],"phasingOut":false,"reach":316000000,"countryCodes":["US"],"mapsSuggestStringMatch":null,"bounds":null,"polygons":[],"center":null,"ofacRegion":false,"requiresEuPoliticalDeclaration":false}],"excluded":[]},"usage":{"demographics":{"included":true,"excluded":false},"geography":{"included":true,"excluded":false},"contextual":{"included":true,"excluded":false},"topicOfInterest":null,"advertiserList":null}},
  "countryImpressions": [{"geoTarget":{"criterionId":2724,"name":"Spain","fullName":"Spain","featureType":{"code":2,"name":"COUNTRY"},"containerCriterionIds":[],"phasingOut":false,"reach":47600000,"countryCodes":["ES"],"mapsSuggestStringMatch":null,"bounds":null,"polygons":[],"center":null,"ofacRegion":false,"requiresEuPoliticalDeclaration":true},"impressions":{"lower":null,"upper":1000},"firstShown":"2026-03-12","lastShown":"2026-08-01","dataAvailableFrom":null,"firstShownAfterEpoch":"2026-03-12","platforms":[{"surface":{"code":3,"name":"SEARCH"},"impressions":{"lower":null,"upper":1000}},"[1 more items retained in the dataset]"]},"[47 more items retained in the dataset]"],
  "eeaImpressions": {"geoTarget":null,"impressions":{"lower":2000,"upper":3000},"firstShown":"2026-03-11","lastShown":"2026-08-03","dataAvailableFrom":null,"firstShownAfterEpoch":"2026-03-11","platforms":[{"surface":{"code":3,"name":"SEARCH"},"impressions":{"lower":null,"upper":1000}},"[1 more items retained in the dataset]"]},
  "usImpressions": {"geoTarget":null,"impressions":{"lower":400000,"upper":450000},"firstShown":"2026-03-11","lastShown":"2026-08-03","dataAvailableFrom":null,"firstShownAfterEpoch":null,"platforms":[]},
  "categories": {"gcb":null,"googleProduct":null,"browseonomy":null,"defaultVertical":{"code":2,"name":"POLITICAL"},"source":{"code":1,"name":"GOOGLE_GENERATED"}},
  "flags": {"servedConsecutively":false,"disablePolicyReporting":false,"containsSyntheticMedia":false,"googleGrantsAccount":false},
  "reportedAt": null,
  "endPayerName": null,
  "advertiser": {"id":"AR13196022309535612929","name":"MARKETFUEL SUBSCRIPTION SERVICES","billingCountry":"US","nameHistory":[],"nameDetails":{"disclosed":"MARKETFUEL SUBSCRIPTION SERVICES","legal":"MARKETFUEL SUBSCRIPTION SERVICES","trademark":null,"disclosureNameType":null},"political":{"elections":[],"regulatoryIds":[{"type":{"code":3,"name":"US_EMPLOYER_IDENTIFICATION_NUMBER"},"id":"35-2563221","region":{"regionCode":{"code":1,"name":"US"},"geoCriteriaIds":[],"region":"US","state":null},"fecIdType":null,"districtInfo":null}],"region":{"regionCode":{"code":1,"name":"US"},"geoCriteriaIds":[2016,"[5 more items retained in the dataset]"],"region":"US","state":null},"transparencyReportUrl":null,"creativeCount":8733},"disclosureCountry":"US","reportTypes":[{"code":2,"name":"POLITICAL"},"[1 more items retained in the dataset]"],"unverified":false,"creativeCount":null,"impressions":null},
  "completeness": {"listing":true,"creativeDetail":true,"advertiserDetail":true,"geoLookup":true,"missingSections":[],"failures":[]},
  "unmappedFields": {},
  "raw": {"listing":{"1":"AR13196022309535612929","2":"CR11522903995353923585","3":{"3":{"2":"<img src=\"https://tpc.googlesyndication.com/archive/simgad/8358979474923857597\" height=\"209\" width=\"348\">"},"5":true},"4":1,"6":{"1":"1773297563","2":816284000},"7":{"1":"1785784755","2":518807000},"8":"400000","9":"450000","10":{"1":[{"1":"USD","2":"3000"}]},"11":{"1":[{"1":"USD","2":"3500"}]},"12":"MARKETFUEL SUBSCRIPTION SERVICES","13":144,"15":["US"]},"creativeDetail":{"1":{"1":"AR13196022309535612929","2":"CR11522903995353923585","3":{"1":"1773297563","2":816284000},"4":{"1":"1785784755","2":518807000},"5":[{"3":{"2":"<img src=\"https://tpc.googlesyndication.com/archive/simgad/8358979474923857597\" height=\"209\" width=\"348\">"},"5":true},"[2 more same-shape items retained in the dataset]"],"6":144,"7":["PT","[47 more same-shape items retained in the dataset]"],"8":1,"9":"400000","10":"450000","11":{"1":[{"1":"USD","2":"3000"}]},"12":{"1":[{"1":"USD","2":"3500"}]},"13":{"3":{"1":["2840"]},"4":{"1":{"1":true,"2":false},"2":{"1":true,"2":false},"3":{"1":true,"2":false}}},"16":{"5":2,"6":1},"17":[{"1":2724,"3":"1000","4":20260312,"5":20260801,"7":20260312,"8":[{"1":3,"3":"1000"},"[1 more same-shape items retained in the dataset]"]},"[47 more same-shape items retained in the dataset]"],"19":{"2":"2000","3":"3000","4":20260311,"5":20260803,"7":20260311,"8":[{"1":3,"3":"1000"},"[1 more same-shape items retained in the dataset]"]},"22":{},"23":{"2":"400000","3":"450000","4":20260311,"5":20260803}}},"advertiserDetail":{"1":{"1":"AR13196022309535612929","2":"MARKETFUEL SUBSCRIPTION SERVICES","3":"US","9":{"1":"MARKETFUEL SUBSCRIPTION SERVICES","2":"MARKETFUEL SUBSCRIPTION SERVICES"},"10":{"2":[{"1":{"1":3},"2":"35-2563221","3":{"1":1,"3":"US"}}],"4":{"1":1,"2":[2016,"[5 more same-shape items retained in the dataset]"],"3":"US"},"6":"8733"},"11":"US","15":[2,"[1 more same-shape items retained in the dataset]"]}},"geoTargets":[{"1":[{"1":2016,"2":"American Samoa","3":"American Samoa","4":2,"6":false,"7":"25000","8":["AS"],"13":false,"14":false},"[47 more same-shape items retained in the dataset]"]}]}
}

Removed Google ad output

{
  "recordType": "removed_ad",
  "enrichmentStatus": "complete",
  "creativeId": "CR01220055288007098369",
  "policyDecisionAt": "2026-07-04T19:38:30.980026Z",
  "policyViolations": [{"geoTarget":null,"shoppingPolicy":null,"googleAdsPolicy":null,"enforcementMeans":{"code":2,"name":"HUMAN_INVOLVED"},"decisionType":{"code":2,"name":"GOOGLE_INVESTIGATION"},"tfaarPolicy":{"code":1,"name":"ACCOUNT_SUSPENDED"}}],
  "firstShown": "2026-07-04T07:00:00Z",
  "lastShown": "2026-07-04T07:00:00Z",
  "targeting": {"ages":{"included":[],"excluded":[]},"genders":{"included":[],"excluded":[]},"geographies":{"included":[],"excluded":[]},"usage":{"demographics":{"included":true,"excluded":false},"geography":null,"contextual":{"included":true,"excluded":true},"topicOfInterest":null,"advertiserList":null}},
  "countryImpressions": [{"geoTarget":{"criterionId":2276,"name":"Germany","fullName":"Germany","featureType":{"code":2,"name":"COUNTRY"},"containerCriterionIds":[],"phasingOut":false,"reach":77600000,"countryCodes":["DE"],"mapsSuggestStringMatch":null,"bounds":null,"polygons":[],"center":null,"ofacRegion":false,"requiresEuPoliticalDeclaration":true},"impressions":{"lower":null,"upper":null},"firstShown":"2026-07-04","lastShown":"2026-07-04","dataAvailableFrom":"2026-10-02","firstShownAfterEpoch":"2026-07-04","platforms":[]}],
  "eeaImpressions": {"geoTarget":null,"impressions":{"lower":null,"upper":null},"firstShown":"2026-07-04","lastShown":"2026-07-04","dataAvailableFrom":"2026-10-02","firstShownAfterEpoch":"2026-07-04","platforms":[]},
  "completeness": {"listing":true,"removedDetail":true,"geoLookup":true,"missingSections":[],"failures":[]},
  "unmappedFields": {},
  "raw": {"listing":{"1":"CR01220055288007098369","2":{"2":{"1":"1783193910","2":980026220},"3":[{"8":2,"9":2,"10":1}]},"3":{"1":"1783148400"},"4":{"1":"1783148400"}},"removedDetail":{"1":{"1":"CR01220055288007098369","2":{"2":{"1":"1783193910","2":980026220},"3":[{"8":2,"9":2,"10":1}]},"3":{"4":{"1":{"1":true,"2":false},"3":{"1":true,"2":true}}},"4":{"1":"1783148400"},"5":{"1":"1783148400"},"6":[{"1":2276,"4":20260704,"5":20260704,"6":20261002,"7":20260704}],"7":{"4":20260704,"5":20260704,"6":20261002,"7":20260704}}},"geoTargets":[{"1":[{"1":2276,"2":"Germany","3":"Germany","4":2,"6":false,"7":"77600000","8":["DE"],"13":false,"14":true}]}]}
}

Google political ads statistics output

This US aggregate returned no targeting buckets, so that array is correctly empty. Other bucket families contain one complete item and a same-shape count marker.

{
  "recordType": "political_statistics",
  "enrichmentStatus": "complete",
  "query": {"queryType":"auto","advertiserIds":[],"domain":null,"candidate":null,"matchedAdvertiserCount":null,"matchedAdvertisers":[]},
  "adSpend": [{"currency":"USD","units":2495751800,"nanos":0,"amount":"2495751800"}],
  "adCount": 920111,
  "adFormatBuckets": [{"countFraction":0.2645854684923884,"spendFraction":0.047255588584205165,"format":{"code":2,"name":"IMAGE"}},"[2 more items retained in the dataset]"],
  "targetingBuckets": [],
  "advertiserBuckets": [{"spendFraction":0.0403566190050183,"advertiser":{"id":"AR12365610929977556993","name":"BIDEN FOR PRESIDENT","billingCountry":null,"nameHistory":[],"nameDetails":null,"political":null,"disclosureCountry":"US","reportTypes":[],"unverified":false,"creativeCount":null,"impressions":null}},"[99 more items retained in the dataset]"],
  "geoBuckets": [{"countFraction":0.3076378828206597,"spendFraction":0.005432821711022769,"geoTarget":{"criterionId":21132,"name":"Alaska","fullName":"Alaska, United States","featureType":{"code":6,"name":"STATE"},"containerCriterionIds":[9207142,"[2 more items retained in the dataset]"],"phasingOut":false,"reach":547000,"countryCodes":["US"],"mapsSuggestStringMatch":null,"bounds":null,"polygons":[],"center":null,"ofacRegion":false,"requiresEuPoliticalDeclaration":false}},"[50 more items retained in the dataset]"],
  "dailyBuckets": [{"countFraction":null,"spendFraction":7.09610158571408e-07,"date":"2018-08-30"},"[2986 more items retained in the dataset]"],
  "roundingBuckets": [{"currency":"USD","units":100,"nanos":0,"amount":"100"}],
  "completeness": {"statistics":true,"geoLookup":true,"missingSections":[],"failures":[]},
  "unmappedFields": {},
  "raw": {"statistics":{"1":{"1":{"1":[{"1":"USD","2":"2495751800"}]},"2":"920111","3":[{"1":0.2645854684923884,"2":0.047255588584205165,"3":2},"[2 more same-shape items retained in the dataset]"],"5":[{"2":0.0403566190050183,"3":{"1":"AR12365610929977556993","2":"BIDEN FOR PRESIDENT","11":"US"}},"[99 more same-shape items retained in the dataset]"],"6":[{"1":0.3076378828206597,"2":0.005432821711022769,"3":21132},"[50 more same-shape items retained in the dataset]"],"7":[{"2":7.09610158571408e-07,"3":20180830},"[2986 more same-shape items retained in the dataset]"],"8":[{"1":"USD","2":"100"}]}},"geoTargets":[{"1":[{"1":21132,"2":"Alaska","3":"Alaska, United States","4":6,"5":[9207142,"[2 more same-shape items retained in the dataset]"],"6":false,"7":"547000","8":["US"],"13":false,"14":false},"[50 more same-shape items retained in the dataset]"]}]}
}

The OUTPUT key-value-store record summarizes matched, emitted, complete, incomplete, and charged counts plus effective filters. QUERY_RESOLUTION contains the resolved advertiser set. RAW_PAGE_MANIFEST links every full source listing collection stored during the run.

Google Ads competitor analysis and monitoring workflows

Track competitor creative changes weekly

Save one task per advertiser using best-match mode and schedule it every Monday. Send completion webhooks to Google Sheets through Make, Zapier, or n8n, then compare creative ID, activity dates, format, and rendering fields.

Monitor active campaigns daily

Schedule daily runs for fast-moving campaign launches. Use date, platform, and format filters to keep each dataset focused, then alert Slack or email when new creative IDs appear.

Build a political ad database

Run published ads with the political topic for creative-level records. Run political statistics separately for aggregate spend, advertiser, geography, and daily buckets. Keep the datasets linked by advertiser ID and region.

Audit removed ads in Europe

Use removed ads for policy decision time, enforcement mechanism, decision type, policy classification, targeting, activity dates, and geographic impressions. Google exposes this as a separate Europe-wide collection without normal search filters.

How much does Google Ads Transparency scraping cost?

The price is exactly $0.99 per 1,000 complete results, or $0.00099 per complete row. The same price applies to every Apify tier.

Complete results	Cost
100	$0.099
500	$0.495
1,000	$0.99

There is no free-tier result throttle. Setting maxResults to 0 means unlimited for both ad operations, subject to the run's charging budget.

A complete result charges one result-scraped event when it is stored. If creative, advertiser, or geographic enrichment remains unavailable, the Actor stores an explicit incomplete row without a charge. A valid empty statistics response produces no row and no charge.

Google Ads monitoring integrations and scheduling

Use the dataset with Google Sheets, Make, Zapier, n8n, webhooks, or the Apify API. JSON preserves nested fields best; CSV and Excel are convenient for normalized top-level analysis.

Use a daily schedule for launches, offers, or election-period monitoring. Use a weekly schedule for routine competitor creative reviews. Save stable configurations as Apify Tasks so recurring runs use the same advertiser, region, format, and date rules.

Apify's official scheduling walkthrough:

Google Ads Transparency Center FAQ

What is the Google Ads Transparency Center, also called the Google Ads library?

It is Google's searchable repository for ads and verified advertisers across Google properties. This Actor adds structured export, complete enrichment, three record types, repeatable inputs, and automation.

How do I search for a specific advertiser?

Enter an advertiser name, domain, or direct AR advertiser ID. Name searches may match several accounts; use all-match mode for exhaustive results or best-match mode for one strongest match.

Can I see competitors' Google ads with Transparency Center?

Yes. Search the competitor's name or domain, then collect creative formats, rendering references, activity dates, countries, platforms, and advertiser details. Do not treat long-running ads as proof of performance because conversion data is not provided.

What ad details does Google Ads Transparency Center show?

Availability depends on record type and region. The Actor preserves creative renderings, dates, impressions, spend, targeting, geographic and platform breakdowns, payer/category flags, advertiser identity, political metadata, policy decisions, and raw values when returned.

How do I use Ads Transparency Center by URL?

Paste a domain such as nike.com into the search query. Select domain matching, or keep automatic detection and let the Actor normalize the hostname.

Can I filter ads by country or date?

Yes for published ads. Select one or more regions, then set the start and end dates. Political data accepts only the 12 political-enabled regions listed above.

Does Google Ads Transparency Center have an API?

Google provides the website but does not offer this Actor's stable export contract. This Google Ads Transparency Center API alternative supplies validated inputs, structured schemas, enrichment status, raw-field retention, scheduling, and dataset exports.

Does the Google Ads library include YouTube ads?

Yes. Select YouTube under platforms, or leave the platform list empty to include every Google surface returned for the query.

Can I export Google Ads Transparency Center data?

Yes. Download JSON, CSV, Excel, HTML, XML, or RSS from the run's Dataset tab. You can also read the dataset and output summary through the Apify API.

Can I monitor competitors' Google ads every week?

Yes. Save the input as a Task, schedule it weekly, and send a webhook to your comparison workflow. Daily schedules are better for active launches.

Do I need a Google Ads account or advertiser cookies?

No. You provide public search criteria and run the Actor on Apify. Nothing else is needed.

Why is an incomplete row in my dataset?

The listing was available, but a detail section remained unavailable after recovery attempts. Check the missing sections and failure list. The row was not charged.

What are the limitations of this data?

Commercial ads do not necessarily expose performance, clicks, conversions, bids, keywords, audience settings, or spend. Political transparency fields vary by region. The Actor returns what the source makes available and marks absence explicitly.

How can I report a bug or request a custom workflow?

Use the Actor's Issues tab with a run ID and sanitized input. For a custom integration, include the desired operation, fields, schedule, and destination.

Is it legal to use Google Ads Transparency Center data?

Use the Actor only for purposes allowed by Google and applicable law. You are responsible for GDPR, CCPA, election law, advertising rules, database rights, personal-data handling, and regional requirements.

Support

• Bugs: use the Issues tab and include a run ID
• Feature requests: use the Issues tab or email
• Email: max@mapa.slmail.me

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Export Google Ads Transparency Center, Google Ads library, competitor, removed-ad, and political advertising data as structured records on Apify.