# Google Videos Scraper (`easyapi/google-videos-scraper`) Actor Powerful Google Videos scraper collect up to 5000 video results per run with flexible search options, language support. Perfect for video content analysis, competitor research, and YouTube SEO optimization. πŸŽ₯πŸ” - **URL**: https://apify.com/easyapi/google-videos-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media, Videos - **Stats:** 38 total users, 0 monthly users, 93.5% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 ## Google Videos Scraper πŸŽ₯πŸ” Effortlessly scrape video data from Google with this powerful and flexible Actor! πŸš€ ### Features ✨ - 🎬 Scrape video results based on your search query - πŸ”’ Retrieve up to 5000 results per run - 🌐 Support for multiple countries and languages - ⏳ Time-based filtering options - πŸ’Ύ Results saved directly to your Apify dataset ### Use Cases πŸ’‘ - πŸ“Š Video content analysis and trend spotting - πŸŽ₯ Competitor research in video marketing - πŸ” Niche video content discovery - πŸ“ˆ YouTube SEO and keyword research ### How It Works πŸ› οΈ 1. Set your search parameters in the input 2. The Actor fetch Google Video search data 3. Results are processed and saved to your Apify dataset 4. Repeat until the desired number of results is reached or all available data is collected ### Input Parameters πŸ“ - `maxItems`: Maximum number of results to collect (100-5000) - `query`: Your search term - `gl`: Google country code (e.g., "us" for United States) - `hl`: Interface language (e.g., "en" for English) - `lr`: Language of search results (e.g., "lang_en" for English) - `cr`: Country restriction for search results - `time_period`: Time range for results (e.g., "last_month") - `nfpr`: No auto-correction of spelling (0 or 1) - `filter`: Whether to filter similar results (0 or 1) ### Output πŸ“Š The Actor provides detailed information about each video result, including: - Title - URL - Thumbnail - Duration - Upload date - Views count - Source (e.g., YouTube, Vimeo) - And more! Get started with Google Videos Scraper today and unlock valuable insights into video content across the web! πŸš€πŸŽ₯ #### Input Example A full explanation of an input example in JSON. ```` { "query": "spacex", "maxItems": 100 } ``` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ``` \[ { "position": 1, "title": "6e VOL du STARSHIP: SpaceX construit son second PAS DE ...", "link": "https://www.youtube.com/watch?v=YsSIrgL58Gg", "domain": "www.youtube.com", "displayed\_link": "www.youtube.com β€Ί watch", "date": "Il y a 2Β jours", "date\_utc": "2024-10-23T16:40:20.378Z", "image": "data:image/jpeg;base64,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" }, { "position": 2, "title": "Comment SpaceX a rΓ©ussi le COUP PARFAIT avec le ...", "link": "https://www.youtube.com/watch?v=BIc0nH87B5g", "domain": "www.youtube.com", "displayed\_link": "www.youtube.com β€Ί watch", "date": "Il y a 1Β semaine", "date\_utc": "2024-10-18T16:40:20.381Z", "image": "data:image/jpeg;base64,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" }, ... ] ```` # Actor input Schema ## `maxItems` (type: `integer`): Maximum number of search results to retrieve ## `query` (type: `string`): The search term to use ## `gl` (type: `string`): The Google country to use for the query ## `hl` (type: `string`): The Google UI language to return results ## `lr` (type: `string`): Limit the results to a specific language ## `cr` (type: `string`): Limit the results to a specific country ## `time_period` (type: `string`): Time period for results ## `time_period_min` (type: `string`): Minimum date for custom time period (MM/DD/YYYY) ## `time_period_max` (type: `string`): Maximum date for custom time period (MM/DD/YYYY) ## `nfpr` (type: `integer`): Exclude results from auto-corrected queries (0 or 1) ## `filter` (type: `integer`): Enable/disable Similar Results and Omitted Results filters (0 or 1) ## Actor input object example ```json { "maxItems": 1000, "query": "spacex" } ```` # 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 = { "maxItems": 1000, "query": "spacex" }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/google-videos-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "maxItems": 1000, "query": "spacex", } # Run the Actor and wait for it to finish run = client.actor("easyapi/google-videos-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxItems": 1000, "query": "spacex" }' | apify call easyapi/google-videos-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/google-videos-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Videos Scraper", "description": "Powerful Google Videos scraper collect up to 5000 video results per run with flexible search options, language support. Perfect for video content analysis, competitor research, and YouTube SEO optimization. πŸŽ₯πŸ”", "version": "0.0", "x-build-id": "L9q5GugDSkTbP6gES" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~google-videos-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-google-videos-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/easyapi~google-videos-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-google-videos-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/easyapi~google-videos-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-google-videos-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": [ "query", "maxItems" ], "properties": { "maxItems": { "title": "Maximum Items", "minimum": 100, "maximum": 50000, "type": "integer", "description": "Maximum number of search results to retrieve", "default": 100 }, "query": { "title": "Search Query", "type": "string", "description": "The search term to use", "default": "spacex" }, "gl": { "title": "Google Country", "enum": [ "af", "al", "dz", "as", "ad", "ao", "ai", "aq", "ag", "ar", "am", "aw", "ac", "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", "cat", "ky", "cf", "td", "cl", "cn", "cx", "cc", "co", "km", "cg", "cd", "ck", "cr", "ci", "hr", "cy", "cz", "dk", "dj", "dm", "do", "tl", "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", "hn", "hk", "hu", "is", "in", "id", "iq", "ie", "il", "it", "jm", "jp", "jo", "kz", "ke", "ki", "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", "ms", "ma", "mz", "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", "kn", "lc", "vc", "ws", "sm", "st", "sa", "sn", "cs", "sc", "sl", "sg", "sk", "si", "sb", "so", "za", "gs", "kr", "es", "lk", "sh", "pm", "sr", "sj", "sz", "se", "ch", "tw", "tj", "tz", "th", "tg", "tk", "to", "tt", "tn", "tr", "tm", "tc", "tv", "ug", "ua", "ae", "gb", "us", "um", "uy", "uz", "vu", "va", "ve", "vn", "vg", "vi", "wf", "eh", "ye", "zm", "zw" ], "type": "string", "description": "The Google country to use for the query" }, "hl": { "title": "UI Language", "enum": [ "af", "ak", "sq", "am", "ar", "hy", "az", "eu", "be", "bem", "bn", "bh", "bs", "br", "bg", "km", "ca", "chr", "ny", "zh-cn", "zh-tw", "co", "hr", "cs", "da", "nl", "en", "eo", "et", "ee", "fo", "tl", "fi", "fr", "fy", "gaa", "gl", "ka", "de", "el", "gn", "gu", "ht", "ha", "haw", "he", "iw", "hi", "hu", "is", "ig", "id", "ia", "ga", "it", "ja", "jw", "kn", "kk", "rw", "rn", "kg", "ko", "kri", "ku", "ckb", "ky", "lo", "la", "lv", "ln", "lt", "loz", "lg", "ach", "mk", "mg", "ms", "ml", "mt", "mi", "mr", "mfe", "mo", "mn", "sr-ME", "ne", "pcm", "nso", "no", "nn", "oc", "or", "om", "ps", "fa", "pl", "pt", "pt-br", "pt-pt", "pa", "qu", "ro", "rm", "nyn", "ru", "gd", "sr", "sh", "st", "tn", "crs", "sn", "sd", "si", "sk", "sl", "so", "es", "es-419", "su", "sw", "sv", "tg", "ta", "tt", "te", "th", "ti", "to", "lua", "tum", "tr", "tk", "tw", "ug", "uk", "ur", "uz", "vi", "cy", "wo", "xh", "yi", "yo", "zu" ], "type": "string", "description": "The Google UI language to return results" }, "lr": { "title": "Language Results", "enum": [ "lang_ar", "lang_hy", "lang_be", "lang_bg", "lang_ca", "lang_zh-cn", "lang_zh-tw", "lang_hr", "lang_cs", "lang_da", "lang_nl", "lang_en", "lang_eo", "lang_et", "lang_tl", "lang_fi", "lang_fr", "lang_de", "lang_el", "lang_iw", "lang_hu", "lang_is", "lang_id", "lang_it", "lang_ja", "lang_ko", "lang_lv", "lang_lt", "lang_no", "lang_fa", "lang_pl", "lang_pt", "lang_ro", "lang_ru", "lang_sr", "lang_sk", "lang_sl", "lang_es", "lang_sv", "lang_th", "lang_tr", "lang_uk", "lang_vi" ], "type": "string", "description": "Limit the results to a specific language" }, "cr": { "title": "Country Results", "enum": [ "af", "al", "dz", "as", "ad", "ao", "ai", "aq", "ag", "ar", "am", "aw", "ac", "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", "cat", "ky", "cf", "td", "cl", "cn", "cx", "cc", "co", "km", "cg", "cd", "ck", "cr", "ci", "hr", "cy", "cz", "dk", "dj", "dm", "do", "tl", "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", "hn", "hk", "hu", "is", "in", "id", "iq", "ie", "il", "it", "jm", "jp", "jo", "kz", "ke", "ki", "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", "ms", "ma", "mz", "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", "kn", "lc", "vc", "ws", "sm", "st", "sa", "sn", "cs", "sc", "sl", "sg", "sk", "si", "sb", "so", "za", "gs", "kr", "es", "lk", "sh", "pm", "sr", "sj", "sz", "se", "ch", "tw", "tj", "tz", "th", "tg", "tk", "to", "tt", "tn", "tr", "tm", "tc", "tv", "ug", "ua", "ae", "gb", "us", "um", "uy", "uz", "vu", "va", "ve", "vn", "vg", "vi", "wf", "eh", "ye", "zm", "zw" ], "type": "string", "description": "Limit the results to a specific country" }, "time_period": { "title": "Time Period", "enum": [ "last_hour", "last_day", "last_week", "last_month", "last_year", "custom" ], "type": "string", "description": "Time period for results" }, "time_period_min": { "title": "Custom Time Period Min", "type": "string", "description": "Minimum date for custom time period (MM/DD/YYYY)" }, "time_period_max": { "title": "Custom Time Period Max", "type": "string", "description": "Maximum date for custom time period (MM/DD/YYYY)" }, "nfpr": { "title": "No Autocorrect", "minimum": 0, "maximum": 1, "type": "integer", "description": "Exclude results from auto-corrected queries (0 or 1)" }, "filter": { "title": "Filter", "minimum": 0, "maximum": 1, "type": "integer", "description": "Enable/disable Similar Results and Omitted Results filters (0 or 1)" } } }, "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 } } } } } } } } } } ```