# Youtube Video Search Scraper (`ecomscrape/youtube-video-search-scraper`) Actor Search and extract YouTube video metadata at scale using keywords, filters, or channel/playlist URLs. Retrieve titles, view counts, thumbnails, keywords, and more — with full control over upload date, duration, features, and sort order. - **URL**: https://apify.com/ecomscrape/youtube-video-search-scraper.md - **Developed by:** [ecomscrape](https://apify.com/ecomscrape) (community) - **Categories:** Videos, Developer tools, SEO tools - **Stats:** 14 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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 ## Contact If you encounter any issues or need to exchange information, please feel free to contact us through the following link: [My posts](https://apify.com/ecomscrape) ## YouTube Video Search Scraper: Extract Video Data by Keyword & Channel ### Introduction YouTube hosts over 800 million videos across virtually every topic, language, and niche. For content strategists, SEO researchers, marketers, and data analysts, the ability to systematically search and extract video data from YouTube is a significant competitive advantage. Whether you're tracking what types of car review content are trending this month, auditing a competitor's channel library, or building a dataset of high-performing videos in your industry, manually collecting this data is neither scalable nor practical. The **YouTube Video Search Scraper** solves this by automating video discovery and metadata extraction through two flexible modes: keyword-based search with granular filters, or direct scraping from channel and playlist URLs. Both modes deliver the same rich structured output, giving you full flexibility over how you source your video list. --- ### Scraper Overview The YouTube Video Search Scraper is designed for bulk extraction of YouTube video metadata, combining search functionality with direct URL-based scraping. Unlike single-video scrapers, this tool is built for discovery — finding and extracting data from large sets of videos based on topic, recency, format, or channel. Key capabilities include: - **Dual input modes** — search by keyword with filters, or scrape directly from channel/playlist URLs - **Advanced search filtering** — filter by upload date, video duration, feature type (4K, HDR, Live, etc.), and sort order - **Comprehensive metadata extraction** — captures 17 fields per video including download URLs - **Per-URL item limits** — control how many videos are extracted from each URL or search result - **Error resilience** — skip failed or inaccessible URLs without interrupting the full job This scraper is well-suited for **SEO specialists** researching keyword-driven video content, **content creators** studying competitor channels, **media analysts** monitoring trending topics, **data scientists** building labeled video datasets, and **marketers** tracking video performance across niches. --- ### Input and Output Format Details #### Input Format The scraper supports two mutually exclusive input modes. Use **one at a time** — if `keyword` is provided, the URL-based section is disabled, and vice versa. --- ##### Mode 1 — Keyword Search with Filters ```json { "keyword": "car", "upload_date": "last_month", "type": "", "duration": "", "feature": "", "sort_by": "relevance" } ```` **`keyword`** *(string)* — The search term to query YouTube with. Equivalent to typing a term into YouTube's search bar. Leave empty if using URL mode. **`upload_date`** *(select)* — Filters results by how recently the video was published. Available options: | Value | Label | |---|---| | *(empty)* | Any | | `last_hour` | Last hour | | `last_day` | Last day | | `last_week` | Last week | | `last_month` | Last month | | `last_year` | Last year | **`duration`** *(select)* — Filters results by video length. Available options: | Value | Label | |---|---| | *(empty)* | Any | | `short` | Under 4 minutes | | `medium` | Between 4 and 20 minutes | | `long` | Over 20 minutes | **`feature`** *(select)* — Filters results by a specific video feature or format. Available options: | Value | Label | |---|---| | *(empty)* | Any | | `hd` | HD | | `4k` | 4K | | `hdr` | HDR | | `360` | 360° | | `3d` | 3D | | `vr180` | VR180 | | `live` | Live | | `creative_commons` | Creative Commons | | `subtitles_cc` | Subtitles/CC | | `location` | Location | **`sort_by`** *(select)* — Controls the order search results are returned. Available options: | Value | Label | |---|---| | `relevance` | Most Relevant | | `view_count` | Most Popular | | `upload_date` | Alphabetical | | `rating` | Rating | *** ##### Mode 2 — Channel or Playlist URLs ```json { "urls": [ "https://www.youtube.com/@jonnajinton/featured", "https://www.youtube.com/watch?v=T794jU-UXZU&list=PLrgUJTSd4L4u2Y267SB9Wlo6WQ9I3Kub0", "https://www.youtube.com/playlist?list=PLkQOfzgiQ1fqFDV0flOHtVckXCiIlL_S3" ], "ignore_url_failures": true } ``` **`urls`** *(array of strings)* — A list of YouTube channel or playlist page URLs to scrape videos from. Supports channel URLs (`youtube.com/@channelname/featured`, `/videos`, `/playlists`) and playlist URLs. Add URLs one by one or use Bulk edit to paste a prepared list. **Ensure `keyword` is empty when using this mode.** **`ignore_url_failures`** *(boolean)* — When set to `true`, the scraper skips any URL that fails to load (private, deleted, or restricted) and continues processing the remaining URLs. Strongly recommended for batch runs. *** ##### General Options (Apply to Both Modes) **`max_items_per_url`** *(integer, default: 20)* — Limits the number of videos extracted per URL or per search result page. Useful for controlling job size and cost when scraping large channels or broad search terms. Set higher for comprehensive channel audits; set lower for quick sampling. *** #### Output Format Each extracted video returns a structured record with 17 fields: | Field | Type | Description & Analytical Value | |---|---|---| | **Video ID** | String | YouTube's unique video identifier. Use for cross-referencing with YouTube's API, deduplicating datasets, or building direct video links. | | **Title** | String | Full video title. Core field for keyword analysis, topic clustering, and content strategy research. | | **Length (Seconds)** | Integer | Video duration in seconds. Enables filtering by format (short-form vs. long-form) and supports engagement benchmarking. | | **Keywords** | Array | Creator-defined tags for the video. Highly valuable for SEO keyword research, topic mapping, and niche analysis. | | **Channel ID** | String | Unique ID of the publishing channel. Use to group videos by creator or join with channel-level datasets. | | **Is Owner Viewing** | Boolean | Technical flag indicating owner viewing status. Relevant in specific API or analytics contexts. | | **Short Description** | String | Video description text. Useful for NLP analysis, content summarization, and understanding creator intent or SEO strategy. | | **Is Crawlable** | Boolean | Whether the video is indexable by search engines. Key signal for SEO visibility research. | | **Thumbnail** | String (URL) | Direct link to the video's thumbnail image. Use for visual content analysis, dataset labeling, or populating dashboards. | | **Allow Ratings** | Boolean | Whether likes/dislikes are enabled on the video. Can indicate content sensitivity or moderation choices. | | **View Count** | Integer | Total views at time of scraping. Primary metric for popularity analysis, benchmarking, and trend tracking. | | **Author** | String | Channel display name. Useful for attribution, filtering by creator, and competitive analysis. | | **Is Private** | Boolean | Whether the video is set to private. Filter this out in post-processing when public-only content is required. | | **Is Unplugged Corpus** | Boolean | Internal YouTube classification flag. | | **Is Live Content** | Boolean | Indicates live stream content. Important for separating live broadcasts from standard uploads in research datasets. | | **Is TV/Film Video** | Boolean | Classifies the video as TV or film content. Useful for content-type segmentation and dataset labeling. | | **Download URLs** | Object/Array | Available download stream URLs for the video. Useful for developers building media pipelines or archiving workflows. | #### Example Output ```json { "video_id": "7ZA96sNBc24", "title": "A Winter Day in My Life | Honest Conversations from the Forest", "length_seconds": "2958", "keywords": [ "jonna", "jinton", "jonna jinton", "nordic", "swedish", "sweden", "forest", "life", "village", "woman", "living", "countryside", "countrylife", "rural life", "wilderness", "alone", "nordic lifestyle", "scandinavia", "winter", "nordic life", "winter life", "artist" ], "channel_id": "UCAk3t7WHs2zjsZpopox8Taw", "is_owner_viewing": false, "short_description": "Come spend a slow winter day with me in the forests of northern Sweden.\nSome honest conversations, a few everyday moments, a bit of art projects, and life with my little cat.\n\nThank you so much for watching and for being here, and for your wonderful comments and your heartfelt support 🤍\n\n• My Art & Jewelry Webshop: https://jonnajintonsweden.com\n• Instagram: https://www.instagram.com/jonnajinton/\n• TikTok: https://www.tiktok.com/@jonnajinton\n• Wallpaper collection: https://www.photowall.com/designers/jonna-jinton\n• Facebook Page - http://www.facebook.com/jonnajinton\n• Blog: https://jonnajintonsweden.com/blog/\n\n► Listen to my music on Spotify - https://open.spotify.com/artist/4rRxk7StcvSY3Rs3yt7Dx7?si=JM_zFxYTTH2nfeuUi5JjXg\n\n► MUSIC\nComing home - Aj hochhalter \nBelle ame - Jordan Critz\nThe heart and the blood - Rore \nAncestral - Tony Anderson \nChasing Stars - Moux \nArdie Son - Bachs Cello Suite - Reimagined\nThe comforts of you - Gavin Luke\nTwinkle of the lights - Johannes Bornlöf\nSimple Gestures - Yonder Dale\nPhilosophia - David Celeste\nFeather - Inola \nAnother World 12 - Johan Hynynen\nMB018NG5VSLU1AC", "is_crawlable": true, "thumbnail": { "thumbnails": [ { "url": "https://i.ytimg.com/vi/7ZA96sNBc24/default.jpg", "width": 120, "height": 90 }, { "url": "https://i.ytimg.com/vi/7ZA96sNBc24/mqdefault.jpg", "width": 320, "height": 180 }, { "url": "https://i.ytimg.com/vi/7ZA96sNBc24/hqdefault.jpg", "width": 480, "height": 360 }, { "url": "https://i.ytimg.com/vi/7ZA96sNBc24/sddefault.jpg", "width": 640, "height": 480 } ] }, "allow_ratings": true, "view_count": "296585", "author": "Jonna Jinton", "is_private": false, "is_unplugged_corpus": false, "is_live_content": false, "is_tvfilm_video": false, "download_urls": [ { "url": "https://rr4---sn-8qj-i5osr.googlevideo.com/videoplayback?expire=1774545225&ei=6RTFadHHIq7s2roP-o2MiQs&ip=113.175.44.33&id=o-AIIoRBF4BJtczULFo1pati-OGZpMsiX-WHxZoKw7vbVE&itag=313&source=youtube&requiressl=yes&xpc=EgVo2aDSNQ%3D%3D&cps=133&met=1774523625%2C&mh=5B&mm=31%2C29&mn=sn-8qj-i5osr%2Csn-8qj-i5ody&ms=au%2Crdu&mv=m&mvi=4&pl=24&rms=au%2Cau&initcwndbps=2630000&bui=AUUZDGJ9pEUR1DJfR47ij9y_U5g2EE8fcutGExe6iJy_WD_de3bAxpRjsR-sFNErUWyqe07eLGXamCtJ&spc=jlWavYO-AX474Dvit9PmzLBHc5q6ByG4NXlcTleTY8FxvWGY&vprv=1&svpuc=1&mime=video%2Fwebm&rqh=1&gir=yes&clen=4971677839&dur=2957.533&lmt=1772438788584643&mt=1774523125&fvip=4&keepalive=yes&fexp=51565116%2C51565681%2C51791334&c=ANDROID_VR&txp=330F224&sparams=expire%2Cei%2Cip%2Cid%2Citag%2Csource%2Crequiressl%2Cxpc%2Cbui%2Cspc%2Cvprv%2Csvpuc%2Cmime%2Crqh%2Cgir%2Cclen%2Cdur%2Clmt&sig=AHEqNM4wRQIgZTwrLpzk-YSNZxhrzGBt4yxFhcTToHHbEUlvILAeICwCIQDwihYZp1mEzZkOIWwug0HPHozVU27wrLus0-9uoxyLqg%3D%3D&lsparams=cps%2Cmet%2Cmh%2Cmm%2Cmn%2Cms%2Cmv%2Cmvi%2Cpl%2Crms%2Cinitcwndbps&lsig=APaTxxMwRQIhAMa6j3e0L00JM1ef3-QtUU1PBycAB89gbwQXDwV2DmXkAiAFbRYr9NBRltuXT6_Q8fPyMxo1LMV2WKUyn9T064Y03A%3D%3D", "mime_type": "video/webm; 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Enter your search term and apply filters to narrow results by recency, duration, or video feature. This is ideal for market research, trend analysis, or competitive keyword studies. **If you have a specific channel or playlist to audit** — use URL mode. Paste the channel's `/featured`, `/videos`, or playlist URL directly. This is ideal for channel-level audits, creator research, or building topic-specific datasets from curated playlists. > ⚠️ Do not combine both modes in the same run. If `keyword` is populated, the `urls` section is disabled. Leave `keyword` empty to activate URL mode. #### Step 2: Apply Filters (Keyword Mode Only) Refine your search results using the available filters: - Use `upload_date: "last_month"` or `"last_week"` to focus on trending or recently published content - Use `duration: "long"` to find in-depth tutorials or documentary-style videos - Use `feature: "4k"` or `"hdr"` to filter for high-production-value content - Use `sort_by: "view_count"` to surface the most popular results for a keyword #### Step 3: Set Item Limits Use `max_items_per_url` to control how many videos are extracted per URL or search result. The default is 20. For a quick competitive sample, 10–20 may be sufficient. For comprehensive channel audits or large-scale dataset building, increase this limit accordingly. #### Step 4: Run and Export Submit your configuration and wait for the job to complete. Export results as JSON or CSV for use in spreadsheets, databases, BI tools, or custom analytics pipelines. #### Best Practices - **Test with a small `max_items_per_url` first** (5–10) before running large jobs to verify output quality. - **Use `sort_by: "view_count"`** when doing competitive research to prioritize high-performing content. - **Filter by `upload_date: "last_month"`** for trend analysis to ensure results reflect current content patterns. - **Use the `keywords` field** for SEO research — creator-defined tags are often more precise than titles for understanding topic targeting. - **Set `ignore_url_failures: true`** for all URL-mode jobs to handle private or deleted videos gracefully. #### Common Issues - **Keyword returns unrelated results** — try more specific phrases (e.g., `"electric car review 2025"` instead of `"car"`). - **Channel URL returns no results** — verify the URL includes a valid path such as `/featured` or `/videos`, and that the channel is public. - **Fewer results than expected** — some filters (e.g., combining `feature: "4k"` with `upload_date: "last_hour"`) may significantly reduce the available result pool. *** ### Benefits and Applications **Keyword & SEO Research:** Extract creator-defined keywords and titles from top-ranking videos in your niche to identify topic patterns, content gaps, and keyword strategies your competitors are targeting. **Competitor Channel Auditing:** Scrape an entire channel's video library using URL mode to analyze publishing frequency, popular topics, average view counts, and content format distribution. **Trend Monitoring:** Use `upload_date: "last_week"` or `"last_month"` combined with `sort_by: "view_count"` to identify what content is gaining traction right now in any topic area. **Dataset Creation:** Build labeled video datasets for machine learning, NLP research, or media studies applications by combining keyword-based discovery with structured metadata extraction. **Content Planning:** Analyze successful videos — their titles, descriptions, keywords, and lengths — to inform your own publishing strategy with data-backed decisions rather than guesswork. *** ### Conclusion The YouTube Video Search Scraper combines the flexibility of keyword-driven discovery with the precision of direct channel and playlist scraping, delivering structured metadata for every video it finds. With granular filter controls, configurable item limits, and 17 fields of output per video, it provides the depth and scalability needed for serious content research, SEO analysis, and competitive intelligence work. Start your first extraction today — whether you're exploring a trending keyword or auditing an entire channel library. ## Your feedback We are always working to improve Actors' performance. So, if you have any technical feedback about Skool Posts Listings Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console. # Actor input Schema ## `keyword` (type: `string`): Enter the keyword to search for items ## `upload_date` (type: `string`): Filter by upload date ## `duration` (type: `string`): Filter by duration ## `feature` (type: `string`): Filter by feature ## `sort_by` (type: `string`): Filter items by sort order ## `urls` (type: `array`): Add the URLs of the video list page you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): Ignore URLs that fail to load ## `max_items_per_url` (type: `integer`): Limit the number of items per URL you want to scrape ## Actor input object example ```json { "keyword": "laptop", "urls": [ "https://www.youtube.com/@jonnajinton/featured" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "keyword": "laptop", "urls": [ "https://www.youtube.com/@jonnajinton/featured" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("ecomscrape/youtube-video-search-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 = { "keyword": "laptop", "urls": ["https://www.youtube.com/@jonnajinton/featured"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("ecomscrape/youtube-video-search-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 '{ "keyword": "laptop", "urls": [ "https://www.youtube.com/@jonnajinton/featured" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call ecomscrape/youtube-video-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ecomscrape/youtube-video-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Youtube Video Search Scraper", "description": "Search and extract YouTube video metadata at scale using keywords, filters, or channel/playlist URLs. Retrieve titles, view counts, thumbnails, keywords, and more — with full control over upload date, duration, features, and sort order.", "version": "0.0", "x-build-id": "cnMrbeaZTNsChQqbS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ecomscrape~youtube-video-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ecomscrape-youtube-video-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ecomscrape~youtube-video-search-scraper/runs": { "post": { "operationId": "runs-sync-ecomscrape-youtube-video-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ecomscrape~youtube-video-search-scraper/run-sync": { "post": { "operationId": "run-sync-ecomscrape-youtube-video-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keyword": { "title": "Keyword to search", "type": "string", "description": "Enter the keyword to search for items" }, "upload_date": { "title": "Upload date", "enum": [ "", "last_hour", "last_day", "last_week", "last_month", "last_year" ], "type": "string", "description": "Filter by upload date" }, "duration": { "title": "Duration", "enum": [ "", "short", "medium", "long" ], "type": "string", "description": "Filter by duration" }, "feature": { "title": "Feature", "enum": [ "", "hd", "360", "3d", "live", "hdr", "4k", "creative_commons", "location", "subtitles_cc", "vr180" ], "type": "string", "description": "Filter by feature" }, "sort_by": { "title": "Sort Items by", "enum": [ "relevance", "view_count", "upload_date", "rating" ], "type": "string", "description": "Filter items by sort order" }, "urls": { "title": "URLs of the video list page (Ensure keyword is empty)", "type": "array", "description": "Add the URLs of the video list page you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Ignore URLs that fail to load", "type": "boolean", "description": "Ignore URLs that fail to load" }, "max_items_per_url": { "title": "Limit the number of items per URL", "type": "integer", "description": "Limit the number of items per URL you want to scrape" } } }, "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 } } } } } } } } } } ```