Lemon8 Feeds Scraper

This actor extracts posts, images, videos, comments, and analytics from Lemon8 feeds across 22 categories and 10+ regions. Supports infinite scrolling, full media downloads, post-level analytics, and detailed comment extraction—perfect for research, analysis, or content monitoring.

Features

• 22 Feed Categories - Scrape from For You, Beauty, Food, Fashion, and more
• 10+ Regions - Support for US, Australia, Japan, and more
• Full Post Data - Titles, content, statistics, hashtags
• Comment Extraction - All comments including replies
• Media Downloads - Save images and videos to Key-Value Store
• Reliable Access - Smart proxy rotation with automatic fallback

Input Configuration

Parameter	Type	Default	Description
category	int	required	Feed category (0-21)
region	string	"us"	Region code
limit	int	100	Max posts to extract
getDetails	bool	true	Extract full post details
detailsLimit	int	10	Max posts for detail extraction
saveImages	bool	false	Download images to KVS
saveVideos	bool	false	Download videos to KVS
proxy	object	null	Proxy configuration
resumeFromRunId	string	""	Continue one interrupted run/dataset without re-collecting or re-charging its posts
incrementalMode	bool	false	Turn on for recurring monitoring — classifies each post as NEW/UPDATED/UNCHANGED/REAPPEARED/EXPIRED against the previous run
stateKey	string	""	Name a monitoring campaign explicitly; otherwise the state key is derived from category/startUrls + region + getDetails
emitUnchanged	bool	false	Also return (and bill) UNCHANGED posts every run
emitExpired	bool	false	Also return (and bill) posts no longer found, once a run fully scans every feed

Example Input

{
  "category": 2,
  "region": "us",
  "limit": 50,
  "getDetails": true,
  "detailsLimit": 10,
  "saveImages": false,
  "saveVideos": false
}

🔁 Resume & recurring updates

Two different features, both opt-in:

• Resume (resumeFromRunId) continues ONE specific interrupted run: paste a previous run ID or dataset ID and this run skips posts it already collected.
• Incremental mode (incrementalMode) is for scheduling this actor on a recurring basis against the same feed. The actor remembers what it saw last time (keyed by stateKey, or an automatic key derived from category/startUrls + region + getDetails) and adds four fields to every dataset row:

{
  "changeType": "NEW",
  "changedFields": [],
  "firstSeenAt": "2026-07-30T03:00:00Z",
  "lastSeenAt": "2026-07-30T03:00:00Z"
}

changeType is one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. UNCHANGED and EXPIRED posts are suppressed (not returned or billed) unless you turn on emitUnchanged / emitExpired. EXPIRED posts are only produced once a run has scanned every tracked category/Start URL to its natural end — a Post Limit cap, a block, or resumeFromRunId all skip EXPIRED detection for that run rather than risk a false tombstone. These fields never appear when incrementalMode is off.

Categories

ID	Name	ID	Name
0	For You	11	Travel
1	Beauty	12	Money
2	Food	13	Career
3	Fashion	14	Art
4	Home	15	Pets
5	Wellness	16	Photography
6	Fitness	17	Gaming
7	Entertainment	18	Reading
8	Relationship	19	Cars
9	Tech	20	Outdoors
10	Parenting	21	Education

Regions

us, au, nz, jp, th, id, vn, my, sg, ca

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape — the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each record — not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify → Settings → Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Output Format

Each dataset record has the following structure:

{
  "posts": [
    {
      "id": "7412987407534162437",
      "author": {
        "name": "Author Name",
        "profileUrl": "https://...",
        "profileImageUrl": "https://..."
      },
      "title": "Post Title",
      "content": "Content preview...",
      "postUrl": "https://...",
      "statistics": {
        "savedCount": "0",
        "likesCount": "6437",
        "commentsCount": "0"
      },
      "images": [...],
      "isVideo": false,
      "category": "Food",
      "categoryId": 2,
      "details": {...},
      "allComments": [...],
      "commentStats": {...}
    }
  ],
  "metadata": {
    "feedsUrl": "https://...",
    "category": "Food",
    "categoryId": 2,
    "region": "us",
    "totalScraped": 50,
    "scrollsPerformed": 15,
    "videoPostsFound": 5,
    "detailedPostsScraped": 10
  }
}