If you are developing a browser extension, a WordPress plugin, or a Shopify app, competitors in the catalog are not an abstraction but a real threat to your ranking. Competitors' ratings, prices, update frequency, and the number of reviews change every day, and manually checking listings takes hours. In this article, we will discuss what exactly needs to be tracked in each of the three catalogs, why automatic data collection quickly runs into blocks, and how to build a sustainable monitoring system using proxies.
Why Monitor Competitors in Plugin Catalogs
Catalogs like the Chrome Web Store, WordPress Plugin Directory, and Shopify App Store function like mini-search engines: within their niche, they rank based on relevance, rating, number of installations, and freshness of updates. If a competitor raises their version, lowers their pricing, or receives a surge of reviews — it signals that there will be a reshuffling in the rankings. A product manager or marketer who learns about this a week later loses positions without a chance to react quickly.
The practical benefits of monitoring competitors in catalogs can be broken down into several scenarios:
- Pricing. Tracking the rates of competing plugins and apps helps adjust your own monetization model without blind discounting.
- Listing Content. Changes in the description, screenshots, and keywords of a competitor often signal A/B tests worth replicating or circumventing.
- Release Frequency. If a competitor releases updates weekly while you do so quarterly, the catalog algorithm favors a more "active" product.
- Reviews and Ratings. A decline in a competitor's rating is an opportunity for targeted advertising focusing on issues mentioned by dissatisfied users.
- New Players. An automatic scan of the category allows you to notice a new competitor before they gain critical mass in installations.
The task is complicated by the fact that all three platforms are different ecosystems with varying page structures, request limits, and attitudes toward automated data collection. Let's break down each one separately.
Chrome Web Store: Which Metrics to Track
A listing in the Chrome Web Store contains enough public data to build a comprehensive competitor tracking system. The main parameters to record daily or at least every 2-3 days include:
| Metric | Why Track |
|---|---|
| Number of Users | Reflects actual reach; Chrome shows a range (e.g., "10,000+ users") |
| Average Rating and Number of Reviews | Rating trends indicate the quality of recent updates |
| Version and Update Date | Release frequency is a signal of the development team's activity |
| Position in Category and by Keywords | Direct indicator of the SEO effectiveness of the listing |
| Screenshots and Description Text | Changes indicate A/B tests or product repositioning |
Technically, the Chrome Web Store serves the listing as a regular HTML page, but some data is loaded via internal APIs, which periodically change the response structure. Google limits the number of requests from a single IP over time — exceeding the limit may result in a CAPTCHA or a temporary block of access to the catalog from that specific address.
WordPress Plugin Directory: Monitoring Features
WordPress.org has an open official API (api.wordpress.org/plugins/info/1.2/) that returns JSON with the number of active installations, rating, version, last updated date, and supported versions of WordPress. This simplifies the task: there's no need to parse HTML, just call the API by the plugin slug.
However, there are nuances. The number of active installations is provided by WordPress as a rounded range ("1000+", "10000+") rather than an exact figure — to accurately assess dynamics, you need to measure transitions between ranges over time. Additionally, frequent requests from a single IP may lead to temporary ban pages (403) at the WordPress.org hosting level, especially if you are monitoring dozens of competing plugins in different categories simultaneously.
Here’s what to track for each competing plugin in WordPress:
- Number of active installations (range) and growth dynamics over a week/month;
- Rating on a 5-point scale and number of reviews, including breakdown by stars;
- Date of the last update and a list of compatible WordPress/PHP versions;
- Changelog — documenting what features competitors are adding;
- Supported localization languages if the competitor is entering new markets.
Shopify App Store: What’s Important for E-commerce
The Shopify App Store differs from the previous two catalogs in that there is a clear monetary component: almost all apps have paid plans, free trials, and partner statuses (Shopify Plus Certified, Built for Shopify). For monitoring competitors in this niche, the following are important:
| Parameter | Business Meaning |
|---|---|
| Pricing Structure and Trial Period | Direct comparison of pricing and monetization conditions |
| Number of Reviews and Their Distribution | Indicator of trust and actual customer base |
| Built for Shopify Status | Signal of technical quality, affects search positions |
| Categories and Integrations | Shows which platforms the competitor is expanding the ecosystem with |
The Shopify App Store has stricter controls on automated requests than WordPress: the platform has bot protection at the Cloudflare level, which quickly blocks IPs with abnormally high request frequencies. This is why monitoring dozens of competing apps from a single static address usually ends up with a CAPTCHA within the first day.
Why Monitoring Gets Blocked and the Role of Proxies
All three catalogs are large public resources with high loads, so they implement anti-bot protection: rate limiting from a single IP, browser fingerprinting, CAPTCHAs for suspicious behavior, and geo-blocking of certain regions. If you are monitoring competitors manually once a week — there won’t be any issues. But as soon as the process is automated and starts querying 50-200 listings every day, from a single IP address, it quickly falls under filters.
The situation becomes more complicated if you need to view the catalog from the perspective of a user in a specific country — for example, to check how a plugin ranks in the German locale of WordPress or how an app listing looks in the Shopify App Store for a store from Canada. Without changing the IP, you will see the version of the catalog tied to your own region, not the one that the target audience of the competitor sees.
The solution is to distribute requests through a pool of proxies with different IPs and, if necessary, from different geos. For one-time manual data collection, datacenter proxies will suffice, but for regular automated monitoring, where it is important not to fall under the platform's behavioral analysis, residential proxies work more stably — they use IPs from real providers, so they appear as regular visitors rather than datacenter traffic.
Step-by-Step Setup of Monitoring with Proxies
Let's outline a practical scheme that can be assembled without deep technical skills — based on ready-made automation services and browser automation.
- Compile a list of competitors. 20-50 listings of plugins/extensions/apps in your niche is enough to start.
- Choose the frequency of checks. For the Chrome Web Store and Shopify App Store, once every 1-2 days is sufficient; for the WordPress API, you can check more frequently, as it has easier limits.
- Set up proxies in the data collection tool. If you are using an anti-detect browser (Dolphin Anty, AdsPower, Multilogin, Octo Browser) for manual checks of listings from different geos, specify the type of proxy (HTTP/SOCKS5), IP, port, username, and password in the profile settings — this is usually done in the "Proxy Settings" section when creating a profile.
- For automatic collection through no-code services (Make, Zapier with a custom HTTP module, or specialized catalog parsers), add proxy rotation between requests so that each listing is queried from a new IP.
- Set up geo-targeting. If you need to see the catalog from the perspective of a user in the USA, Germany, or Brazil — choose proxies with the required geolocation in the pool settings.
- Keep a history of data. A table in Google Sheets or Airtable with the date, rating value, number of installations, and a link to the screenshot of the listing — the minimum set for analyzing dynamics.
- Set up alerts. Conditions like "competitor's rating dropped by more than 0.2 points" or "a new update has been released" can be triggered through conditional blocks in no-code automation and send notifications to Telegram or Slack.
If monitoring primarily covers mobile versions of catalogs (for example, checking how a Shopify app listing looks in a mobile browser) or if you need to emulate the behavior of a real user on mobile internet, consider mobile proxies — they use IPs from cellular operators and are less likely to be flagged by anti-bot systems.
No-Code Automation Tools
For those who do not write code but want regular automated monitoring, the following tool combinations are suitable:
| Tool | Task |
|---|---|
| Dolphin Anty / AdsPower / Octo Browser | Creating separate browser profiles with proxy binding for manual checks of listings from different geos |
| Make (Integromat) / Zapier | API polling scenarios for WordPress and alerts about changes without coding |
| Google Sheets + Apps Script | Storing metric history and building graphs of rating/installation dynamics |
| Ready-made SaaS catalog parsers | A number of services for App Store Optimization (ASO) can track both Shopify and Chrome Web Store listings in a single dashboard |
For most marketers and product managers, the combination of an anti-detect browser + proxies + a table with data history covers 80% of needs without the necessity to hire a developer.
Technical Example for Developers
If there is a developer on the team who wants to build their own monitoring script, here is a minimal example in Python for polling the official WordPress Plugin Directory API with proxy rotation using requests:
import requests
import time
PLUGIN_SLUGS = ["competitor-plugin-1", "competitor-plugin-2"]
PROXIES_POOL = [
{"http": "http://user:[email protected]:8000",
"https": "http://user:[email protected]:8000"},
{"http": "http://user:[email protected]:8000",
"https": "http://user:[email protected]:8000"},
]
def get_plugin_data(slug, proxy):
url = f"https://api.wordpress.org/plugins/info/1.2/?action=plugin_information&slug={slug}"
response = requests.get(url, proxies=proxy, timeout=10)
data = response.json()
return {
"slug": slug,
"version": data.get("version"),
"rating": data.get("rating"),
"num_ratings": data.get("num_ratings"),
"active_installs": data.get("active_installs"),
"last_updated": data.get("last_updated"),
}
for i, slug in enumerate(PLUGIN_SLUGS):
proxy = PROXIES_POOL[i % len(PROXIES_POOL)]
try:
result = get_plugin_data(slug, proxy)
print(result)
except Exception as e:
print(f"Error while requesting {slug}: {e}")
time.sleep(2) # pause between requests to avoid overloading the API
For the Chrome Web Store and Shopify App Store, where data is loaded dynamically via JavaScript, a headless browser (Playwright or Puppeteer) will be required instead of simple requests, but the principle of proxy rotation remains the same: each request or session is tied to a separate IP from the pool to avoid exceeding the limits of a single entry point.
For large volumes — for example, if you need to poll hundreds of listings in three catalogs simultaneously every day — it is more cost-effective to use datacenter proxies: they are faster and cheaper than residential ones, and for API requests without complex behavioral checks (like those for WordPress), this is usually sufficient.
Competitor Monitoring Checklist
- ☐ A list of 20-50 competitive listings in three catalogs has been compiled;
- ☐ The frequency of checks has been determined for each platform separately;
- ☐ A proxy pool with IP rotation for automated requests has been set up;
- ☐ Proxies with the required geolocation have been selected if it is important to see the local version of the listing;
- ☐ A table or dashboard for storing metric history has been created;
- ☐ Alerts for significant changes (rating, price, update) have been set up;
- ☐ A scenario has been tested without blocks on a test sample of 5-10 listings before scaling.
Conclusion
Monitoring competitors in the Chrome Web Store, WordPress Plugin Directory, and Shopify App Store is not a one-time check but a continuous process that directly affects the positions of your own product in the catalog. Each platform requires its own approach: open API for WordPress, hidden internal requests for Chrome Web Store, strict anti-bot protection for Shopify. The common issue for all three is the limit on the number of requests from a single IP, which sooner or later leads to blocking during regular automated data collection.
If you plan to establish such monitoring on a regular basis — with daily polling of dozens of listings and checks from different regions — it is advisable to incorporate a proxy pool from the very beginning. For most tasks of collecting public data from catalogs, residential proxies are suitable, minimizing the risk of blocking and allowing you to view competitors' listings from the perspective of a real user in the desired country.