Tumblr Tags Scraper 🔍

Scrape Tumblr tag search results including posts, images, and community information. Perfect for social media monitoring, trend analysis, and content research.

🎯 Use Cases

• Monitor trending topics and hashtags on Tumblr
• Analyze community engagement and follower counts
• Track content distribution across Tumblr tags
• Research popular content within specific niches
• Gather visual content and post metadata

✨ Features

• Search multiple keywords/tags simultaneously
• Collect detailed tag statistics (followers, post counts)
• Extract community hub information
• Gather post metadata and engagement metrics
• Support for proxy configuration
• Automated scrolling and data collection
• Built-in anti-detection mechanisms

🔧 Input Parameters

Field	Type	Description
keywords	Array	List of keywords/tags to search for
maxItems	Number	Maximum number of items to collect (default: 50)
proxyConfiguration	Object	Optional proxy settings

📊 Output

The actor provides detailed information for each tag, including:

• Tag name and ID
• Community statistics (followers, post counts)
• Visual content (header images, dimensions)
• Engagement metrics
• Trending status
• Associated links and metadata
• Timestamp information

💡 Tips

• Use specific keywords for more targeted results
• Adjust maxItems based on your data needs
• Enable proxy configuration for better reliability
• Consider rate limits and Tumblr's terms of service

Input Example

A full explanation of an input example in JSON.

1{
2    "keywords": [
3        "ai"
4    ],
5    "maxItems": 50
6}

Output sample

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        "keyword": "ai",
4        "scrapedAt": "2025-01-25T03:11:27.213Z",
5        "tag": {
6            "objectType": "tag_info_row",
7            "id": "4107",
8            "serveId": "3d306b34309eb5ddc5c279ae8b63e8fd",
9            "backgroundColor": "#803217",
10            "image": "https://64.media.tumblr.com/d2994c3791f5d978913536625a043b85/f7f6bed2b25a5b16-c1/s640x960/2450fbca91eade01fe2a6f768815572cfed395c6.jpg",
11            "imageWidth": 640,
12            "imageHeight": 760,
13            "hubName": "artificial intelligence",
14            "newPostsCount": "110",
15            "newPostsCountInt": 110,
16            "showNewPostsCount": true,
17            "followersCount": "2.8M",
18            "followersCountInt": 2764969,
19            "showFollowersCount": true,
20            "isFollowed": false,
21            "loggingId": "SearchTags::0::artificial intelligence::3d306b34309eb5ddc5c279ae8b63e8fd",
22            "links": {
23                "tap": {
24                    "type": "web",
25                    "href": "https://www.tumblr.com/tagged/artificial%20intelligence?highlight_posts=t%3AToERx_7hs7D0ix31_rHGUg.773038176317128704%7E-9ll7kN_4KW8bEm5qHmpTRskRTxXJH_PWc_ICHAWLJA.",
26                    "meta": {
27                        "source": "search"
28                    },
29                    "queryParams": {
30                        "highlightPosts": "t:ToERx_7hs7D0ix31_rHGUg.773038176317128704~-9ll7kN_4KW8bEm5qHmpTRskRTxXJH_PWc_ICHAWLJA."
31                    }
32                }
33            }
34        }
35    },
36    ...
37]