# π Lemon8 Hashtag Scraper (`ethereal_wool/lemon8-hashtag-scraper`) Actor
Extract Lemon8 hashtag data β title, author, and more. Scrape by keyword, URL or ID. Export to JSON, CSV & Excel, use the API, schedule runs and integrate. No code required.
- **URL**: https://apify.com/ethereal\_wool/lemon8-hashtag-scraper.md
- **Developed by:** [Jackie Chen](https://apify.com/ethereal_wool) (community)
- **Categories:** Social media, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$3.00 / 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
## Lemon8 Hashtag / Topic Post Scraper
Harvest every post published under a **Lemon8** hashtag / topic. Give one or more
hashtag names and the Actor pages through the topic feed and returns clean,
structured data for each post: title, content, image gallery URLs, author info,
forum / tag list, and like / comment / share / view counts. Optionally fetch a
topic (forum) metadata record by its forum ID.
> **Unofficial.** This Actor is not affiliated with, authorized, or endorsed by
> Lemon8 or ByteDance. It is an independent tool that retrieves publicly available
> data via a third-party API. Use it in compliance with Lemon8's terms and all
> applicable laws; you are responsible for how you use the retrieved data.
### What it does
- **Hashtag posts** (default) β give one or more hashtag names (without the `#`);
the Actor harvests the posts under each, paginating through the whole feed.
Sort by hottest / recommended or most recent.
- **Topic metadata** (optional) β give one or more Lemon8 forum / topic IDs (the
numeric `data-id`) to emit a single metadata record per topic: name,
description, follower count, view count and share URL.
### Input
| Field | Type | Default | Description |
|---|---|---|---|
| `hashtagNames` | string[] | `["skincare"]` | Hashtag / topic names (no `#`). Each is paginated independently. |
| `topicForumIds` | string[] | `[]` | Optional Lemon8 forum IDs; each yields one topic-metadata item. |
| `maxItems` | integer | `50` | Max total items (posts + topics) across all inputs. |
| `sortType` | enum | `0` | `0` = hottest / recommended, `1` = most recent. |
#### Example input
```json
{
"hashtagNames": ["skincare", "travel"],
"maxItems": 200,
"sortType": "0"
}
````
### Output
One dataset item per post:
```json
{
"itemId": "7601293702945931831",
"type": "post",
"articleClass": "Gallery",
"title": "Finally found my perfect summer accessory πΈ",
"content": "This handcrafted ...
",
"url": "https://www.lemon8-app.com/@asian.queen1/7601293702945931831",
"shareUrl": "https://www.lemon8-app.com/@asian.queen1/7601293702945931831",
"coverUrl": "https://p16-lemon8-cross-sign.tiktokcdn-us.com/...",
"imageUrls": ["https://..."],
"imageCount": 4,
"diggCount": 388,
"commentCount": 10,
"shareCount": 1,
"forums": ["ipad", "iPhone", "Lemon8"],
"author": {
"authorId": "6839794020564255749",
"name": "YULIYA LEE",
"uniqueName": "asian.queen1",
"description": "πLA ..."
},
"authorName": "YULIYA LEE",
"publishTime": 1769814429,
"behotTime": 1780589434.999,
"source": "hashtag:skincare"
}
```
A topic-metadata item (`type": "topic"`) carries `title`, `content`,
`followerCount`, `viewCount`, `shareUrl` and `forumId`.
### Notes
- Data is sourced live; Lemon8 occasionally rate-limits, so the Actor retries
transient blocks with exponential backoff.
- Posts are paginated via `max_behot_time` and de-duplicated by item ID within a run.
# Actor input Schema
## `hashtagNames` (type: `array`):
Lemon8 hashtag / topic names (without the #). Each is paginated independently and the Actor harvests the posts published under it, e.g. "skincare", "travel", "makeup".
## `topicForumIds` (type: `array`):
Optional. Lemon8 forum / topic IDs (the numeric data-id, e.g. 7025604060665364482). For each one the Actor emits a single topic-metadata item (name, description, follower / view counts, share URL) instead of posts.
## `maxItems` (type: `integer`):
Maximum total number of items (posts + topic-info records) to scrape across all hashtags and topics.
## `sortType` (type: `string`):
How to sort the posts under a hashtag.
## `proxyConfiguration` (type: `object`):
Optional. Route the upstream API calls through an Apify Proxy to vary the source IP. Usually not needed.
## Actor input object example
```json
{
"hashtagNames": [
"skincare"
],
"topicForumIds": [],
"maxItems": 50,
"sortType": "0",
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# 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 = {
"hashtagNames": [
"skincare"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("ethereal_wool/lemon8-hashtag-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? 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 = { "hashtagNames": ["skincare"] }
# Run the Actor and wait for it to finish
run = client.actor("ethereal_wool/lemon8-hashtag-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"hashtagNames": [
"skincare"
]
}' |
apify call ethereal_wool/lemon8-hashtag-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=ethereal_wool/lemon8-hashtag-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "π Lemon8 Hashtag Scraper",
"description": "Extract Lemon8 hashtag data β title, author, and more. Scrape by keyword, URL or ID. Export to JSON, CSV & Excel, use the API, schedule runs and integrate. No code required.",
"version": "0.1",
"x-build-id": "I7jlExDIXbt4gu7Vt"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/ethereal_wool~lemon8-hashtag-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-ethereal_wool-lemon8-hashtag-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/ethereal_wool~lemon8-hashtag-scraper/runs": {
"post": {
"operationId": "runs-sync-ethereal_wool-lemon8-hashtag-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/ethereal_wool~lemon8-hashtag-scraper/run-sync": {
"post": {
"operationId": "run-sync-ethereal_wool-lemon8-hashtag-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"hashtagNames": {
"title": "Hashtag names",
"type": "array",
"description": "Lemon8 hashtag / topic names (without the #). Each is paginated independently and the Actor harvests the posts published under it, e.g. \"skincare\", \"travel\", \"makeup\".",
"default": [
"skincare"
],
"items": {
"type": "string"
}
},
"topicForumIds": {
"title": "Topic forum IDs",
"type": "array",
"description": "Optional. Lemon8 forum / topic IDs (the numeric data-id, e.g. 7025604060665364482). For each one the Actor emits a single topic-metadata item (name, description, follower / view counts, share URL) instead of posts.",
"default": [],
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Max items",
"minimum": 1,
"maximum": 100000,
"type": "integer",
"description": "Maximum total number of items (posts + topic-info records) to scrape across all hashtags and topics.",
"default": 50
},
"sortType": {
"title": "Sort order",
"enum": [
"0",
"1"
],
"type": "string",
"description": "How to sort the posts under a hashtag.",
"default": "0"
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Optional. Route the upstream API calls through an Apify Proxy to vary the source IP. Usually not needed.",
"default": {
"useApifyProxy": false
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```