A powerful scraper for MLB.com video search results. Extract comprehensive video metadata including titles, descriptions, and statistics. Perfect for sports analysts, content creators, and baseball enthusiasts looking to gather MLB video content programmatically. 🎯⚾
Field | Type | Description |
---|---|---|
searchUrls | Array | List of MLB.com search URLs to scrape |
maxItems | Integer | Maximum number of items to collect (optional) |
The actor outputs detailed information about each video result, including:
A full explanation of an input example in JSON.
1{ 2 "searchUrls": ["https://www.mlb.com/search?q=abbott&filter=video"], 3 "maxItems": 60 4}
The results will be wrapped into a dataset which you can always find in the Storage 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.
1[ 2 { 3 "title": "Buck Farmer against the Pirates", 4 "url": "https://www.mlb.com/video/andrew-abbott-against-the-pirates", 5 "lastUpdatedDate": 1724436651130, 6 "contentDate": 1724365845126, 7 "teamCode": null, 8 "teamFileCode": [], 9 "teamName": [], 10 "playerName": [ 11 "Andrew Abbott" 12 ], 13 "homeTeamCode": "pit", 14 "awayTeamCode": "cin", 15 "gameDateTime": "2024-08-23T22:40:00Z", 16 "gamePk": "745460", 17 "gameTitle": "2024/08/23 cin@pit", 18 "taxonomy": [ 19 "data-visualization" 20 ], 21 "contentType": "video", 22 "entityId": "4200e904-b772-4320-8133-9ebfb31e57e5", 23 "culture": "en-us", 24 "thumbnailUrl": "https://img.mlbstatic.com/mlb-images/image/upload/w_250,h_250,c_thumb,g_auto,q_auto,f_jpg/mlb/bs3daoifxlnpg7kpd1ww", 25 "templateUrl": "https://img.mlbstatic.com/mlb-images/image/upload/{formatInstructions}/mlb/bs3daoifxlnpg7kpd1ww", 26 "playerId": [ 27 671096 28 ], 29 "description": "Hits against Farmer in their last three matchups", 30 "blurb": "Buck Farmer against the Pirates", 31 "duration": "00:00:11", 32 "objectID": "b693e544-d0bf-4fb0-8e1d-d44efda99106" 33 }, 34 ... 35]
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!