The Twitter Ads Scraper is a tool designed to extract valuable data from Twitter advertisements. It efficiently gathers information such as ad text, images, impressions, engagement metrics, and targeting details.
The Twitter Ads Scraper is a tool designed to extract valuable data from Twitter advertisements.
It efficiently gathers information such as ad text, images, impressions, engagement metrics, and targeting details.
This tool is ideal for marketers, analysts, and researchers seeking insights into ad performance and strategies.
With customizable features, it ensures precise data collection while complying with Twitter's guidelines.
The scraper supports bulk operations, delivering results in structured formats like JSON or CSV for easy analysis.
Optimize your ad campaigns or study competitors with this powerful, user-friendly tool.
Field | Type | Description |
---|---|---|
keywords | array | Search that the twitter ads content contains a certain keyword ,eg: apex,mantle |
Start Time | string | Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent after the given date. |
End Time | string | Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent before the given date. |
Maximum number of items on output | int | Maximum number of items that you want as output. |
Minimum retweets | int | Returns tweets with at least the given number of retweets. |
Minimum Likes | int | Returns tweets with at least the given number of Likes. |
Minimum Replies | int | Returns tweets with at least the given number of replies. |
1{ 2 "type": "tweet", 3 "id": 1847792268444328200, 4 "viewCount": 412, 5 "url": "https://x.com/CallBotCrypto/status/1847792268444328117", 6 "text": "+4.2% predicted on #GLM! #LFG\n\nData-driven, AI-powered: Welcome to the next level of trading! 🚀\n\n#golemproject\n#ape #SEC #pepe #wen #base #ADX\nhttps://t.co/VxphuDHFBT https://t.co/IWShA3IlJ5", 7 "isQuote": true, 8 "isRetweet": false, 9 "retweetCount": 1, 10 "replyCount": 0, 11 "likeCount": 2, 12 "quoteCount": 0, 13 "createdAt": "2024-10-20 00:09:41+00:00", 14 "lang": "en", 15 "bookmarkCount": 0, 16 "isReply": false, 17 "source": "CallBot_Status", 18 "author": { 19 "type": "user", 20 "username": "CallBotCrypto", 21 "url": "https://x.com/CallBotCrypto", 22 "id": 1506427976912720000, 23 "name": "Better CallBot", 24 "isVerified": false, 25 "isBlueVerified": true, 26 "verifiedType": null, 27 "profilePicture": "https://pbs.twimg.com/profile_images/1724513165503827968/XiY3IPV9_normal.png", 28 "coverPicture": "https://pbs.twimg.com/profile_banners/1506427976912719873/1699464515", 29 "description": "👉 Performing continuous #AI-based analyses and sharing the results!\n\nWe love #blockchain and numbers – We make big data #crypto analyses accessible to everyone", 30 "location": "", 31 "followers": 6125, 32 "following": 10, 33 "protected": null, 34 "createdAt": "2022-03-23 00:30:22+00:00", 35 "favouritesCount": 11433, 36 "mediaCount": 8364, 37 "statusesCount": 26227, 38 "listedCount": 34 39 }, 40 "quote": { 41 "type": "tweet", 42 "id": 1847520225178092000, 43 "text": "⚡ ⚡ ⚡ #GLM/USDT ⚡ ⚡ ⚡\n\nEnter at: 0.3439$ 🏹\nTake profit at: 0.3587$ 💰 🎯\nStop loss: 0.3291$ ☂️\nAccuracy: 79.5% 🛠\n\nBringing you trading #signals. Remember to research!\n#golemproject\n#bullish #MATIC #nfts #GM #DIA", 44 "retweetCount": 1, 45 "replyCount": 1, 46 "likeCount": 4, 47 "quoteCount": 1, 48 "createdAt": "2024-10-19 06:08:41+00:00", 49 "lang": "en", 50 "bookmarkCount": 0, 51 "author": { 52 "type": "user", 53 "username": "CallBotCrypto", 54 "url": "https://x.com/CallBotCrypto", 55 "id": 1506427976912720000, 56 "name": "Better CallBot", 57 "isVerified": false, 58 "isBlueVerified": true, 59 "verifiedType": null, 60 "profilePicture": "https://pbs.twimg.com/profile_images/1724513165503827968/XiY3IPV9_normal.png", 61 "coverPicture": "https://pbs.twimg.com/profile_banners/1506427976912719873/1699464515", 62 "description": "👉 Performing continuous #AI-based analyses and sharing the results!\n\nWe love #blockchain and numbers – We make big data #crypto analyses accessible to everyone", 63 "location": "", 64 "followers": 6125, 65 "following": 10, 66 "protected": null, 67 "createdAt": "2022-03-23 00:30:22+00:00", 68 "favouritesCount": 11433, 69 "mediaCount": 8364, 70 "statusesCount": 26227, 71 "listedCount": 34 72 } 73 }, 74 "retweetedTweet": null, 75 "media": "Media(photos=[MediaPhoto(url='https://pbs.twimg.com/media/GaStRaHXYAARE-7.jpg')], videos=[], animated=[])", 76 "cashtags": [], 77 "hashtags": [ 78 "GLM", 79 "LFG", 80 "golemproject", 81 "ape", 82 "SEC", 83 "pepe", 84 "wen", 85 "base", 86 "ADX" 87 ], 88 "links": [ 89 "TextLink(url='https://x.com/CallBotCrypto/status/1847520225178091977', text='x.com/CallBotCrypto/…', tcourl='https://t.co/VxphuDHFBT')" 90 ], 91 "conversationId": 1847792268444328200, 92 "card": null, 93 "coordinates": null, 94 "mentionedUsers": [] 95}
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!