A-Parser: Data Collection & Automation Software for SEO

How to Scrape eBay Search Results with A-Parser

We put together a short guide to Shop::eBay, from search phrases to collecting listings from eBay search results.

What you can collect:

• product titles and listing URLs
• current and struck-through prices
• currency, ratings, and review counts
• the sales count displayed by eBay

In the test export, we collected 1,500 rows across five search phrases and found 1,312 unique item URLs.

The guide covers eBay site, proxy, and retry settings, plus a ready-to-use template and A-Parser preset.

Read the full guide on the A-Parser forum

A-Parser Behind NAT: Remote Access Without a Public IP or VPS

In our new guide, we explain how to securely access your A-Parser web dashboard and manage tasks from any phone or laptop anywhere in the world — without a public IP, port forwarding, or recurring VPS costs.

What’s inside:

• Cloudflare Tunnel: Encrypted access on your own domain with zero open ports or port forwarding
• Two setup methods: Run as a native system service (Windows, Linux, macOS) or deploy via a pre-configured Docker Compose stack
• No custom domain? Quick alternative setup using Ngrok with a free static dev domain

The guide includes ready-to-use docker-compose.yml configs, copy-paste terminal commands, Cloudflare Access authentication rules, and step-by-step screenshots.

Read the full guide on the A-Parser forum

How to Find Breakout Products in Google Trends with A-Parser

We put together a short guide to SE::Google::Trends: how to find rising search queries automatically and export them to CSV for demand research.

In the benchmark, we checked 30 consumer niches in the United States over 90 days: 545 raw rising suggestions were collected, and filtering for growth above 100% left 319 rows with 280 unique queries. The largest spike reached +2,652,350% for aldi ambiano portable blender.

The guide covers practical use cases for e-commerce, SEO, and paid ads, stable anti-429 settings, a CSV template, and a ready-to-import A-Parser preset.

Read the full guide on the A-Parser website

How to Collect and Classify Pinterest Images with A-Parser

A short guide to collecting Pinterest image links with A-Parser and classifying the images with Clef-Flash.

In a real-world test, 728 of 730 images were successfully classified into 10 categories. The dataset covered eight search queries, including halloween costumes. Classification cost about $0.0384.

The guide covers workflow setup and Base64 image input, and includes a preset, CSV, and interactive results report.

Read the full guide and download the ready-made preset on the A-Parser forum