# Mozilla Extensions Category Parser Spider (`getdataforme/mozilla-extensions-category-parser-spider`) Actor This Apify actor scrapes Mozilla's Firefox extensions site, extracting comprehensive metadata like ratings, downloads, and author details. Ideal for market research, competitive analysis, and data integration. Features category-specific scraping, pagination handling, and structured JSON output. - **URL**: https://apify.com/getdataforme/mozilla-extensions-category-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ### Description This Apify actor scrapes Mozilla's Firefox extensions site, extracting comprehensive metadata like ratings, downloads, and author details. Ideal for market research, competitive analysis, and data integration. Features category-specific scraping, pagination handling, and structured JSON output. --- ## Mozilla Extensions Category Parser Spider ### Introduction The Mozilla Extensions Category Parser Spider is a powerful Apify Actor designed to scrape and extract detailed information about Firefox extensions from Mozilla's official add-ons website. It efficiently navigates category pages, collecting comprehensive metadata for each extension, including ratings, downloads, and author details. This tool is ideal for developers, researchers, and businesses needing structured data on Firefox extensions for analysis, monitoring, or integration purposes. ### Features - **Comprehensive Data Extraction**: Captures key details like extension names, summaries, ratings, download counts, and author information from Mozilla's add-ons pages. - **Category-Specific Scraping**: Targets specific extension categories, allowing focused data collection on topics like productivity, security, or entertainment. - **Pagination Handling**: Automatically processes multiple pages within a category to ensure complete data retrieval. - **Structured JSON Output**: Delivers clean, machine-readable data with consistent fields for easy integration into databases or analytics tools. - **Configurable Limits**: Supports item limits to control the volume of data extracted, optimizing performance and costs. - **Reliable and Fast**: Built on Apify's robust infrastructure for high-speed, error-resistant scraping. - **Privacy-Compliant**: Respects website terms and focuses on publicly available data without invasive tracking. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | No | An array of URLs pointing to Mozilla Firefox extension category pages to scrape. Each URL must be a valid HTTP/HTTPS link. | ["https://addons.mozilla.org/en-US/firefox/extensions/category/productivity/"] | | itemLimit | integer | No | The maximum number of extension items to process and extract. Set to 0 for unlimited (subject to Apify limits). | 50 | ### Example Usage #### Input Configuration ```json { "Urls": [ "https://addons.mozilla.org/en-US/firefox/extensions/category/bookmarks/" ], "itemLimit": 20 } ```` #### Output Example ```json [ { "slug": "onetab", "name": "OneTab", "addon_url": "https://addons.mozilla.org/en-US/firefox/addon/onetab/", "summary": "Save up to 95% memory and reduce tab clutter", "description": "Whenever you find yourself with too many tabs open, click the OneTab icon to convert your tabs into a list. When you need them again, you can restore tabs individually or all at once. By moving your tabs into the OneTab list, you can save up to 95% of memory because fewer tabs remain open in your browser. Privacy assurance OneTab is designed with privacy in mind. Your tab URLs are never transmitted to or shared with the OneTab developers or any third party. Domain icons for tab URLs are generated by Google. The only exception is if you intentionally use the \u201cshare as a web page\u201d feature, which uploads your tab list to a web page so you can share it with others. Tabs are never shared unless you explicitly use this feature. Additional benefits Storing tabs in OneTab can also improve your computer\u2019s performance by reducing your browser\u2019s CPU and memory (RAM) usage. Even high-end computers can slow down when many browser windows and tabs are open, since each open tab continuously consumes system resources.", "type": "extension", "categories": [ "bookmarks", "tabs" ], "average_daily_users": 162393, "weekly_downloads": 1833, "rating_average": 4.1334, "rating_count": 2743, "version": "2.13", "file_url": "https://addons.mozilla.org/firefox/downloads/file/4713960/onetab-2.13.xpi", "firefox_min_version": "140.0", "firefox_max_version": "*", "icon_url": "https://addons.mozilla.org/user-media/addon_icons/525/525044-64.png?modified=mcrushed", "author_name": "OneTab Team", "author_url": "https://addons.mozilla.org/en-US/firefox/user/10945418/", "author_username": "onetab", "guid": "extension@one-tab.com", "status": "public", "is_disabled": false, "created": "2014-06-23T14:30:41Z", "last_updated": "2026-03-23T10:01:51Z", "actor_id": "CnqHz4KxTjXu5tent", "run_id": "vRhYc6udzRhTxugln" }, { "slug": "sidebery", "name": "Sidebery", "addon_url": "https://addons.mozilla.org/en-US/firefox/addon/sidebery/", "summary": "Vertical tabs tree and bookmarks in sidebar with advanced containers configuration, grouping and many other features.", "description": "Sidebery provides the list of tabs structured in a tree, bookmarks and history within the customizable panels. It aims to be fast and configurable. Notice: Sidebery may conflict with addons that handle position of new tabs (e.g. Tree Style Tabs) or addons that move/sort tabs, which may result in unexpected behavior or broken tabs state at initialization. To avoid potential issues, please, disable such addons in Add-ons Manager page (about:addons). Some of the key features: Privacy policy Source code Permissions Optional permissions Notes Donate to support the development of this project More info you can find here", "type": "extension", "categories": [ "bookmarks", "tabs" ], "average_daily_users": 56643, "weekly_downloads": 1120, "rating_average": 4.7006, "rating_count": 1052, "version": "5.5.0", "file_url": "https://addons.mozilla.org/firefox/downloads/file/4688454/sidebery-5.5.0.xpi", "firefox_min_version": "140.0", "firefox_max_version": "*", "icon_url": "https://addons.mozilla.org/user-media/addon_icons/999/999984-64.png?modified=524534e3", "author_name": "mbnuqw", "author_url": "https://addons.mozilla.org/en-US/firefox/user/13304480/", "author_username": "mbnuqw", "guid": "{3c078156-979c-498b-8990-85f7987dd929}", "status": "public", "is_disabled": false, "created": "2018-09-23T11:13:46Z", "last_updated": "2026-04-05T19:46:01Z", "actor_id": "CnqHz4KxTjXu5tent", "run_id": "vRhYc6udzRhTxugln" }, { "slug": "tab-stash", "name": "Tab Stash", "addon_url": "https://addons.mozilla.org/en-US/firefox/addon/tab-stash/", "summary": "Easily save and organize batches of tabs as bookmarks. Clear your tabs, clear your mind. Only for Firefox.", "description": "Tab Stash is a no-fuss way to save and organize batches of tabs as bookmarks. Sweep your browser clean with one click of the Tab Stash icon (if configured). Your open tabs will be stashed away in your bookmarks, conveniently organized into groups. When it's time to pick up where you left off, open Tab Stash and restore just the tabs or groups you want. Because Tab Stash stores your tabs as bookmarks, they will even sync to your other computers or mobile devices. Uses Firefox Sync, if configured\u2014no need to keep track of yet another account. Features For more usage tips, privacy information, and details about how Tab Stash uses its permissions, check out the website.", "type": "extension", "categories": [ "bookmarks", "tabs" ], "average_daily_users": 46868, "weekly_downloads": 487, "rating_average": 4.6652, "rating_count": 693, "version": "3.4", "file_url": "https://addons.mozilla.org/firefox/downloads/file/4640621/tab_stash-3.4_H1fOxyH.xpi", "firefox_min_version": "78.0", "firefox_max_version": "*", "icon_url": "https://addons.mozilla.org/user-media/addon_icons/986/986969-64.png?modified=104258fb", "author_name": "Josh Berry", "author_url": "https://addons.mozilla.org/en-US/firefox/user/14084455/", "author_username": "josh-berry", "guid": "tab-stash@condordes.net", "status": "public", "is_disabled": false, "created": "2018-07-15T06:49:39Z", "last_updated": "2026-01-16T14:31:15Z", "actor_id": "CnqHz4KxTjXu5tent", "run_id": "vRhYc6udzRhTxugln" } ] ``` ### Use Cases - **Market Research**: Analyze trends in Firefox extension popularity, ratings, and downloads to identify emerging tools or niches. - **Competitive Intelligence**: Monitor competitors' extensions in specific categories for feature comparisons and user feedback. - **Content Aggregation**: Build databases of extension metadata for blogs, directories, or recommendation engines. - **Academic Research**: Study user adoption patterns, category distributions, and extension lifecycles for studies on browser ecosystems. - **Business Automation**: Automate data collection for reports on extension performance metrics like daily users and ratings. - **Developer Insights**: Track updates, versions, and compatibility for extensions to inform development strategies. ### Installation and Usage 1. Search for "Mozilla Extensions Category Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs data in JSON format as an array of objects, each representing an extension. Key fields include: `slug` (unique identifier), `name`, `addon_url`, `summary`, `description`, `categories` (array), `average_daily_users`, `weekly_downloads`, \`rating\_average # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## Actor input object example ```json { "Urls": [ "https://addons.mozilla.org/en-US/firefox/extensions/category/" ], "itemLimit": 20 } ``` # 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 = { "itemLimit": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/mozilla-extensions-category-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "itemLimit": 20 } # Run the Actor and wait for it to finish run = client.actor("getdataforme/mozilla-extensions-category-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "itemLimit": 20 }' | apify call getdataforme/mozilla-extensions-category-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/mozilla-extensions-category-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mozilla Extensions Category Parser Spider", "description": "This Apify actor scrapes Mozilla's Firefox extensions site, extracting comprehensive metadata like ratings, downloads, and author details. Ideal for market research, competitive analysis, and data integration. Features category-specific scraping, pagination handling, and structured JSON output.", "version": "0.0", "x-build-id": "aKWGH6GONjbvhjjIn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~mozilla-extensions-category-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-mozilla-extensions-category-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~mozilla-extensions-category-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-mozilla-extensions-category-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~mozilla-extensions-category-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-mozilla-extensions-category-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://addons.mozilla.org/en-US/firefox/extensions/category/" ], "items": { "type": "string" } }, "itemLimit": { "title": "Item Limit", "type": "integer", "description": "Specifies the maximum number of items to process.", "default": 20 } } }, "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 } } } } } } } } } } ```