Szwego Scraper
Pricing
$2.30 / 1,000 scraped posts
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Szwego Scraper
Professional szwego.com scraper for extracting store images, videos, descriptions and metadata. Supports multiple content tabs and batch processing.
Pricing
$2.30 / 1,000 scraped posts
Rating
0.0
(0)
Developer
Muhammad Hanzala
Maintained by Community
Actor stats
0
Bookmarked
3
Total users
3
Monthly active users
8 months ago
Last modified
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Szwego Images/Videos Scraper
This Apify actor scrapes videos and images from szwego.com stores.
Input
| Field | Type | Required | Description |
|---|---|---|---|
url | String | Yes | The URL of the szwego.com store to scrape |
store | String | Yes | A name or ID for output file separation |
tab | String | No | Tab to scrape: all, new, video, or photos. Default: all |
batch | Integer | No | Number of posts to process per run. Default: 100 |
Output
The actor outputs data to the default Apify dataset. Each item contains:
unique_id: The unique identifier for the postphoto_urls: Comma-separated list of image URLs (forall,new,photostabs)video_urls: Comma-separated list of video URLs (forall,new,photostabs) or single video URL (forvideotab)
Example Input
Usage
- Go to your actor's page on Apify Console
- Click "Run"
- Provide the required input fields
- Monitor the run and view results in the dataset
Tabs
- All: Extracts all images and videos from posts
- New: Extracts images and videos from modal after clicking posts
- Video: Extracts video URLs from video posts
- Photos: Extracts description, images, and videos from photo posts
Features
- Batch Processing: Process posts in configurable batches
- Duplicate Prevention: Skips already processed posts
- Multi-tab Support: Scrapes different content types (All, New, Video, Photos)
- Robust Error Handling: Continues processing even if individual posts fail
- Headless Browser: Uses Selenium with Chrome in headless mode for cloud execution
Technical Details
- Built with Python and Selenium WebDriver
- Uses Apify SDK for cloud execution
- Supports both English and Chinese tab names
- Automatically handles scrolling and modal interactions
- Filters out non-HTTP/HTTPS URLs
Local Development
To run this actor locally:
-
Install dependencies:
$pip install -r requirements.txt -
Run the actor:
$python3 main.py
The actor will use default values for local testing if no input is provided.
