Zazzle Scraper
Pricing
Pay per usage
Zazzle Scraper
Automatically extract product data, prices, ratings, and custom design details from Zazzle. Ideal for competitive pricing analysis, market research, and inventory monitoring. Includes automatic proxies, error handling, and reliable retry mechanisms for seamless data collection.
Pricing
Pay per usage
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0.0
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Developer

Shahid Irfan
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
6 days ago
Last modified
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Extract product listings from Zazzle in a fast and structured format. Collect titles, prices, product links, store details, badges, and ranking context from category or search pages. Built for catalog monitoring, trend discovery, pricing analysis, and marketplace intelligence workflows.
Features
- Category and search extraction — Collect product data from Zazzle category URLs and search-style inputs.
- Pagination support — Continue through result pages until your target count is reached.
- Ranking context — Save page and position context for each product.
- Store-level signals — Capture store name, handle, and related listing attributes.
- Clean output records — Skip empty values to keep datasets compact and analysis-ready.
Use Cases
Product Trend Monitoring
Track which products appear prominently for important queries and categories over time. Detect movement in visibility and identify recurring top performers.
Pricing Intelligence
Build snapshots of listing prices and promotional labels to compare market positioning. Use periodic runs to analyze pricing patterns.
Competitive Marketplace Research
Map top creator stores, common product types, and listing signals in your niche. Turn marketplace pages into structured data for reporting and dashboards.
Merchandising Analysis
Review badges, ranking positions, and category coverage to understand how products are presented. Support planning for product launches and assortment decisions.
Data Enrichment Pipelines
Feed extracted records into BI tools, spreadsheets, and automation workflows. Keep downstream systems updated with fresh listing data.
Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
startUrl | String | No | "https://www.zazzle.com/c/wedding+invitations" | Zazzle category or search URL to start from. |
query | String | No | "wedding invitations" | Search phrase used for result retrieval. |
departmentId | String | No | "252426587536370673" | Optional category/department identifier. |
results_wanted | Integer | No | 20 | Maximum number of product items to save. |
maxPages | Integer | No | 10 | Safety cap on requested pages. |
proxyConfiguration | Object | No | {"useApifyProxy": false} | Optional proxy settings for reliability. |
Output Data
Each item in the dataset may contain:
| Field | Type | Description |
|---|---|---|
id | String | Unique product ID. |
title | String | Product title. |
url | String | Product detail URL. |
image_url | String | Main listing image URL. |
price | Number | Current product price. |
product_type | String | Product type identifier. |
store_id | String | Store ID. |
store_name | String | Store display name. |
store_handle | String | Store handle/slug. |
store_image_url | String | Store profile image URL. |
promoLabel | String | Promotional label text if available. |
productBadge | String | Primary badge tag. |
badges | Array | Detailed badge objects. |
isWedding | Boolean | Wedding-related listing flag. |
result_page | Number | Page index where the item appeared. |
result_position | Number | Position in the overall result stream. |
total_results | Number | Total matching results reported for the run. |
search_query | String | Query used in the run. |
department_id | String | Department/category identifier used. |
fetched_at | String | ISO timestamp of extraction. |
Usage Examples
Basic Category Extraction
{"startUrl": "https://www.zazzle.com/c/wedding+invitations","results_wanted": 50}
Query + Department Focus
{"query": "wedding invitations","departmentId": "252426587536370673","results_wanted": 100,"maxPages": 5}
Metadata and Proxy Enabled
{"startUrl": "https://www.zazzle.com/c/wedding+invitations","results_wanted": 200,"proxyConfiguration": {"useApifyProxy": true}}
Sample Output
{"id": "256139245543951273","title": "Simple Black & White Overlay Photo Wedding Invitation","url": "https://www.zazzle.com/simple_black_white_overlay_photo_wedding_invitation-256139245543951273","image_url": "https://rlv.zcache.com/simple_black_white_overlay_photo_wedding_invitation-r_v4g8pw_216.jpg","price": 2.6,"product_type": "zazzle_invitation3","store_name": "Peach Bloome","store_handle": "PeachBloome","promoLabel": "Save 30% with code GRADPAPERZ30","productBadge": "editorsPick","isWedding": true,"result_page": 1,"result_position": 1,"total_results": 384902,"search_query": "wedding invitations","department_id": "252426587536370673","fetched_at": "2026-03-11T12:00:00.000Z"}
Tips For Best Results
Start With A Valid Zazzle URL
- Use a real category page or listing URL.
- Keep query and department aligned with the selected category.
- Test with smaller runs first.
Tune Result Volume
- Begin with
results_wantedbetween20and100. - Increase gradually for larger data pulls.
- Use
maxPagesto control runtime and cost.
Keep Data Consistent Across Runs
- Reuse the same query and department settings.
- Schedule periodic runs for trend tracking.
- Store outputs in one dataset workflow for comparisons.
Proxy Configuration
For reliability in larger runs:
{"proxyConfiguration": {"useApifyProxy": true}}
Integrations
Connect extracted data with:
- Google Sheets — Build quick reporting views.
- Airtable — Create searchable product databases.
- Make — Trigger automations from new records.
- Zapier — Connect dataset events to business tools.
- Webhooks — Send records to custom APIs and services.
- BI Platforms — Feed dashboards for trend and pricing analysis.
Export Formats
- JSON — API and developer workflows.
- CSV — Spreadsheet and analytics tooling.
- Excel — Business reporting.
- XML — System integrations.
Frequently Asked Questions
How many products can I collect?
You can collect large volumes by increasing results_wanted and maxPages. Runtime and data volume depend on your input settings.
Can I scrape from pages other than wedding invitations?
Yes. Provide any supported Zazzle category/search URL and matching query/department values.
Are empty values removed?
Yes. Empty fields are skipped to keep records concise and easier to analyze.
Can I automate this daily?
Yes. Use Apify schedules to run hourly, daily, or weekly based on your monitoring needs.
Support
For issues or feature requests, open the actor in Apify Console and contact support from the run detail page.
Resources
Legal Notice
This actor is provided for legitimate data collection use cases. You are responsible for complying with applicable laws, platform terms, and responsible usage standards in your jurisdiction.