# TikTok Hashtag Analytics (`clockworks/tiktok-ads-scraper`) Actor Scrape TikTok hashtag analytics data. Just add one or more hashtags, and the scraper will extract posts' text, details, country, longevity, audience interests, scores, countries, labels, and age range. Export scraped data, run the scraper via API, schedule runs, or integrate it with other tools. - **URL**: https://apify.com/clockworks/tiktok-ads-scraper.md - **Developed by:** [Clockworks](https://apify.com/clockworks) (Apify) - **Categories:** Social media, Lead generation - **Stats:** 837 total users, 30 monthly users, 100.0% runs succeeded, 23 bookmarks - **User rating**: 4.18 out of 5 stars ## Pricing from $2.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### 📹 What is TikTok Hashtag Analytics? TikTok Hashtag Analytics is an easy-to-use scraping tool that allows you to **extract all TikTok analytics data from a chosen hashtag**. Using this tool, you will be able to scrape: 📹 **Video data:** related videos and video URLs, recommended videos/hashtags, total views of all videos published with this hashtag, total count of all videos published with this hashtag, hashtag URL. 🧚‍♀️ **Audience data:** audience ages, the proportion of each age category, audience interests and scores, audience countries, and labels. ⚡️ **Other:** country info, industry info, ad longevity (popular days and current popularity), trend longevity. ### 📹 How can I use data extracted from TikTok Hashtag Analytics? The data extracted from TikTok Hashtag Analytics can be used for a variety of purposes, including: 🦠 **Analyze trends,** viral campaigns, and content of specific creators 📚 Prepare for or analyze a **TikTok marketing campaign** ✨ Conduct sentiment analysis and find **authentic product reviews** 👩‍🔬 Obtain data for research and **social listening experiments** 🥸 **Identify unverified content** and inaccurate information with high public value ### 🎵 How do I export TikTok Hashtag Analytics data? Use TikTok Hashtag Analytics. It is designed to be user-friendly, offering a smooth start for those who have never extracted data from TikTok before. Here’s how you can use this web scraper to export TikTok ads: 1. [Create](https://console.apify.com/sign-up) a free Apify account using your email. 2. Open [TikTok Hashtag Analytics.](https://apify.com/clockworks/tiktok-ads-scraper) 3. Add location, timeframe, and one or more hashtags to scrape TikTok hashtag analytics. 4. Click the “Start” button and wait for the data to be extracted. 5. Download your data in JSON, XML, CSV, Excel, or HTML. ### ⬇ Input The input for TikTok Hashtag Analytics should be one or multiple **TikTok hashtags, a location, and a time frame.** Click on the [input tab](https://apify.com/clockworks/tiktok-ads-scraper/input-schema) for a full explanation of an input example in JSON. ```json { "adsCountryCode": "us", "adsTimeRange": "120", "hashtags": [ "thailand" "coffee" ] } ```` ### ⬆ Output sample The scraped TikTok analytics data will be shown as a dataset which you can find in the **Output tab**. Note that the output will first be organized as a table for viewing convenience: You can preview all the fields and choose in which format to download the data you’ve extracted: JSON, CSV, Excel, HTML table, or XML. Here below is the same dataset in JSON: ```json [ { "hashtagName": "thailand", "period": "7", "countryCode": "US", "description": "🇹🇭 hi Thailand!!!😘😘😘 🇹🇭", "trend": [ { "time": 1706140800, "value": 0.95 }, { "time": 1706227200, "value": 0.95 }, { "time": 1706313600, "value": 0.94 }, { "time": 1706400000, "value": 0.97 }, { "time": 1706486400, "value": 1 }, { "time": 1706572800, "value": 0.98 }, { "time": 1706659200, "value": 1 } ], "longevity": { "popularDays": 0, "currentPopularity": 0 }, "hashtagId": "9128", "videoUrl": "https://www.tiktok.com/tag/thailand", "countryInfo": { "id": "US", "value": "United States", "label": "US" }, "industryInfo": { "id": 23000000000, "value": "News & Entertainment", "label": "label_23000000000" }, "isPromoted": false, "trendingType": 1, "publishCnt": 3771, "videoViews": 25822635, "publishCntAll": 5828545, "videoViewsAll": 84739142571, "audienceAges": [ { "score": 67, "ageLevel": 3 }, { "score": 20, "ageLevel": 4 }, { "score": 13, "ageLevel": 5 } ], "audienceInterests": [ { "score": 142, "interestInfo": { "id": "10092", "label": "diversify_10092", "value": "Humanities" } }, { "score": 136, "interestInfo": { "id": "10094", "label": "diversify_10094", "value": "Science" } }, { "score": 133, "interestInfo": { "id": "10085", "label": "diversify_10085", "value": "Food Tour & Recommendations" } }, { "score": 120, "interestInfo": { "id": "10043", "label": "diversify_10043", "value": "Travel" } }, { "score": 115, "interestInfo": { "id": "10093", "label": "diversify_10093", "value": "Business & Finance" } } ], "audienceCountries": [ { "score": 780, "countryInfo": { "id": "1605651", "label": "TH", "value": "Thailand" } }, { "score": 378, "countryInfo": { "id": "1733045", "label": "MY", "value": "Malaysia" } }, { "score": 278, "countryInfo": { "id": "1880251", "label": "SG", "value": "Singapore" } }, { "score": 253, "countryInfo": { "id": "1327865", "label": "MM", "value": "Myanmar" } }, { "score": 207, "countryInfo": { "id": "2661886", "label": "SE", "value": "Sweden" } }, { "score": 202, "countryInfo": { "id": "660013", "label": "FI", "value": "Finland" } }, { "score": 160, "countryInfo": { "id": "1831722", "label": "KH", "value": "Cambodia" } }, { "score": 160, "countryInfo": { "id": "2623032", "label": "DK", "value": "Denmark" } }, { "score": 157, "countryInfo": { "id": "1562822", "label": "VN", "value": "Vietnam" } }, { "score": 157, "countryInfo": { "id": "2658434", "label": "CH", "value": "Switzerland" } }, { "score": 149, "countryInfo": { "id": "3144096", "label": "NO", "value": "Norway" } } ], "relatedHashtags": [ { "hashtagId": "17128", "hashtagName": "bangkok", "videoUrl": "https://www.tiktok.com/tag/bangkok" }, { "hashtagId": "10003", "hashtagName": "phuket", "videoUrl": "https://www.tiktok.com/tag/phuket" }, { "hashtagId": "1619755668483073", "hashtagName": "gmmtv", "videoUrl": "https://www.tiktok.com/tag/gmmtv" }, { "hashtagId": "1599802597313541", "hashtagName": "thaibl", "videoUrl": 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"https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/8f30c77c0940453d92fdae8aa7eaff56_1706631234~tplv-noop.image?x-expires=1706809365&x-signature=2Kv5AfvdvS0jtVV5rIi3oy0o6Eg%3D", "url": "https://www.tiktok.com/@/video/7329925041896951083" }, { "coverUri": "https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/641a9edee0cf4881baf20bdb15e67ec1_1706560115~tplv-noop.image?x-expires=1706809258&x-signature=SpUBSCtIx2aCVHRybocEloTKG%2Bk%3D", "url": "https://www.tiktok.com/@/video/7329619726504611114" }, { "coverUri": "https://p16-sign-va.tiktokcdn.com/tos-maliva-p-0068c799-us/c08e577a3af14c12b87e1f34ec8cf52a_1686075071~tplv-noop.image?x-expires=1706809336&x-signature=%2B1XrqiAggcc%2FI7%2BIs%2B6L6QKtEaU%3D", "url": "https://www.tiktok.com/@/video/7241637243692027178" } ] } ] ``` ### 🎸 Want to scrape TikTok comments, creators or music? If you want to scrape TikTok beyond just TikTok hashtag analytics data, you can use one of the specialized web scrapers below, each built particularly for the relevant TikTok scraping case, whether it's profiles, comments, search results, or all data at once:
📹 Tiktok Video Scraper 🧛 TikTok Profile Scraper 🎸 Tiktok Sound Scraper
🎙 TikTok Comments Scraper 🎶 TikTok Scraper #️⃣ TikTok Hashtag Scraper
### ❓FAQ #### Is there a TikTok Hashtag Analytics API? TikTok offers three APIs that allow access to TikTok data: Research API, Display API, and Commercial Content API. The closest TikTok API to get the hashtag analytics data would be the third one, the [Commercial Content API](https://developers.tiktok.com/products/commercial-content-api/). However, to access any of these APIs, you would typically need to register and get approved. The basic requirements to access the TikTok official APIs include having a TikTok developer account, a TikTok account, and approval for a Login Kit and/or TikTok API products. As for an approval-free alternative, you can use scrapers and crawlers as a stand-in for a web scraping API, e.g. 📢 [TikTok Ads Scraper](https://apify.com/clockworks/tiktok-ads-scraper). #### Can I integrate TikTok Hashtag Analytics with other apps? Yes. **Tiktok Hashtag Analytics can be connected with almost any cloud service or web app** thanks to integrations on the Apify platform. You can integrate with Make, Zapier, LangChain, Asana, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more. You can also integrate with other Actors. Or you can use webhooks to carry out an action whenever an event occurs, e.g., get a notification whenever Tiktok Ads Scraper successfully finishes a run. #### Can I use TikTok Hashtag Analytics with the API? Yes, you can do so by using Apify API. It gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify Actors. The API also lets you access any datasets, monitor actor performance, fetch results, create and update versions, and more. To access the API using Node.js, use the `apify-client` NPM package. To access the API using Python, use the `apify-client` PyPI package. Check out the [Apify API reference](https://docs.apify.com/api/v2) docs for full details, or click on the [API tab](https://apify.com/clockworks/tiktok-ads-scraper/api) for code examples. #### Can I use this TikTok Hashtag Analytics API in Python? Yes, by using Apify API. To access the [TikTok Ads API using Python](https://apify.com/clockworks/tiktok-ads-scraper/api/client/python), use the `apify-client` PyPI package. You can find more details about the client in our [Docs for Python Client](https://docs.apify.com/api/client/python/). #### Is it legal to scrape data from TikTok hashtag analytics Our [TikTok scrapers](https://apify.com/store?search=tiktok) are ethical and **do not extract any private user data, such as email addresses, gender, or location.** They can only extract what the user has chosen to share publicly. However, you should be aware that your results might contain personal data. Personal data is protected by GDPR in the European Union and other laws and regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you’re unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/) and [ethical scraping](https://blog.apify.com/what-is-ethical-web-scraping-and-how-do-you-do-it/). #### Not your cup of tea? Build your own scraper. TikTok Hashtag Analytics doesn’t exactly do what you need? You can always build your own! We have various [scraper templates](https://apify.com/templates) in Python, JavaScript, and TypeScript to get you started. Alternatively, you can write it from scratch using our [open-source library Crawlee](https://crawlee.dev/). You can keep the scraper to yourself or make it public by adding it to Apify Store (and [find users](https://apify.com/partners/actor-developers) for it). Or let us know if you need a [custom scraping solution](https://apify.com/custom-solutions). #### Your feedback We’re always working on improving the performance of our [Actors](https://apify.com/actors). So if you’ve got any technical feedback for TikTok Hashtag Analytics or simply found a bug, please create an issue on the Actor’s [Issue tab](https://console.apify.com/actors/IDzg0vK5q8Gyhhteg/issues) in Apify Console. ### Error items When the scraper cannot retrieve data for a given input — for example a profile is private or a post has been deleted — it pushes an **error item** to the dataset instead of silently skipping it. Normal output items are never affected; you can tell them apart by the presence of an `errorCode` field. #### Error item structure ```json { "url": "https://www.tiktok.com/@someuser", "input": "someuser", "error": "Profile is private", "errorCode": "PROFILE_PRIVATE" } ``` #### Error codes reference | `errorCode` | Meaning | | -------------------------------- | -------------------------------------------------------------- | | `NOT_FOUND` | Profile or hashtag does not exist | | `POST_NOT_FOUND_OR_PRIVATE` | Post URL is gone or private | | `POST_SENSITIVE` | Post is flagged as sensitive content | | `NO_TRENDING_FOR_HASHTAG` | No ads found for this hashtag | | `MUSIC_NOT_FOUND` | No videos found for the music tag | | `SEARCH_QUERY_NOT_FOUND` | No videos found for the search query | | `SEARCH_QUERY_PROFILE_NOT_FOUND` | No profiles found for the search query | | `FILTER_NO_PASS` | Videos exist but none match the active date/popularity filters | | `PROFILE_EMPTY` | Profile has no videos (or is behind a login wall) | | `PROFILE_REPOSTS_EMPTY` | Profile has no reposts (or is behind a login wall) | | `PROFILE_FOLLOWING_EMPTY` | Profile is not following anyone | | `PROFILE_FOLLOWERS_EMPTY` | Profile has no followers | | `PROFILE_PRIVATE` | Profile is private | | `GOOGLE_RUN_NO_RESULTS` | Google-assisted run returned no results | | `TRENDING_EMPTY` | Trending page returned no results | | `INVALID_INPUT` | Actor failed due to bad configuration (run is also terminated) | | `INVALID_URLS` | One or more start URLs were malformed | # Actor input Schema ## `hashtags` (type: `array`): Just add TikTok hashtags and the scraper will collect information. ## `adsTimeRange` (type: `string`): No description ## `adsCountryCode` (type: `string`): Set the targeted country ## Actor input object example ```json { "hashtags": [ "usa" ], "adsTimeRange": "" } ``` # Actor output Schema ## `dataset` (type: `string`): Dataset containing all scraped data # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "hashtags": [ "usa" ], "adsCountryCode": "" }; // Run the Actor and wait for it to finish const run = await client.actor("clockworks/tiktok-ads-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "hashtags": ["usa"], "adsCountryCode": "", } # Run the Actor and wait for it to finish run = client.actor("clockworks/tiktok-ads-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "hashtags": [ "usa" ], "adsCountryCode": "" }' | apify call clockworks/tiktok-ads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=clockworks/tiktok-ads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TikTok Hashtag Analytics", "description": "Scrape TikTok hashtag analytics data. Just add one or more hashtags, and the scraper will extract posts' text, details, country, longevity, audience interests, scores, countries, labels, and age range. Export scraped data, run the scraper via API, schedule runs, or integrate it with other tools.", "version": "0.0", "x-build-id": "2DI1OSRDd6Pm4ZKEb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/clockworks~tiktok-ads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-clockworks-tiktok-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/clockworks~tiktok-ads-scraper/runs": { "post": { "operationId": "runs-sync-clockworks-tiktok-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/clockworks~tiktok-ads-scraper/run-sync": { "post": { "operationId": "run-sync-clockworks-tiktok-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "hashtags" ], "properties": { "hashtags": { "title": "Hashtag(s) to scrape ad details from TikTok", "type": "array", "description": "Just add TikTok hashtags and the scraper will collect information.", "items": { "type": "string" } }, "adsTimeRange": { "title": "Time span for hashtag analytics", "enum": [ "", "7", "30", "120", "365", "1095" ], "type": "string", "description": "", "default": "" }, "adsCountryCode": { "title": "🗺 Country", "enum": [ "", "us", "af", "al", "dz", "as", "ad", "ao", "ai", "aq", "ag", "ar", "am", "aw", "au", "at", "az", "bs", "bh", "bd", "bb", "by", "be", "bz", "bj", "bm", "bt", "bo", "ba", "bw", "bv", "br", "io", "bn", "bg", "bf", "bi", "kh", "cm", "ca", "cv", "ky", "cf", "td", "cl", "cn", "cx", "cc", "co", "km", "cg", "cd", "ck", "cr", "ci", "hr", "cu", "cy", "cz", "dk", "dj", "dm", "do", "ec", "eg", "sv", "gq", "er", "ee", "et", "fk", "fo", "fj", "fi", "fr", "gf", "pf", "tf", "ga", "gm", "ge", "de", "gh", "gi", "gr", "gl", "gd", "gp", "gu", "gt", "gn", "gw", "gy", "ht", "hm", "va", "hn", "hk", "hu", "is", "in", "id", "ir", "iq", "ie", "il", "it", "jm", "jp", "jo", "kz", "ke", "ki", "kp", "kr", "kw", "kg", "la", "lv", "lb", "ls", "lr", "ly", "li", "lt", "lu", "mo", "mk", "mg", "mw", "my", "mv", "ml", "mt", "mh", "mq", "mr", "mu", "yt", "mx", "fm", "md", "mc", "mn", "me", "ms", "ma", "mz", "mm", "na", "nr", "np", "nl", "an", "nc", "nz", "ni", "ne", "ng", "nu", "nf", "mp", "no", "om", "pk", "pw", "ps", "pa", "pg", "py", "pe", "ph", "pn", "pl", "pt", "pr", "qa", "re", "ro", "ru", "rw", "sh", "kn", "lc", "pm", "vc", "ws", "sm", "st", "sa", "sn", "rs", "sc", "sl", "sg", "sk", "si", "sb", "so", "za", "gs", "ss", "es", "lk", "sd", "sr", "sj", "sz", "se", "ch", "sy", "tw", "tj", "tz", "th", "tl", "tg", "tk", "to", "tt", "tn", "tr", "tm", "tc", "tv", "ug", "ua", "ae", "gb", "um", "uy", "uz", "vu", "ve", "vn", "vg", "vi", "wf", "eh", "ye", "zm", "zw" ], "type": "string", "description": "Set the targeted country" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```