# Gabb Bloglists Spider (`getdataforme/gabb-bloglists-spider`) Actor Gabb Bloglists Spider is an Apify Actor that efficiently scrapes blog post data from Gabb.com, extracting titles, dates, images, and URLs.... - **URL**: https://apify.com/getdataforme/gabb-bloglists-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% 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 Gabb Bloglists Spider is an Apify Actor that efficiently scrapes blog post data from Gabb.com, extracting titles, dates, images, and URLs.... --- ## Gabb Bloglists Spider ### Introduction Gabb Bloglists Spider is a powerful Apify Actor designed to scrape and extract blog post data from Gabb.com. It efficiently collects detailed information such as titles, publication dates, images, and URLs from blog listings, enabling users to gather structured data for analysis and insights. This tool is ideal for researchers, marketers, and developers seeking automated data extraction from Gabb's blog content. ### Features - **Comprehensive Data Extraction**: Scrapes key blog post details including titles, dates, images, and URLs for thorough coverage. - **Pagination Handling**: Automatically navigates through multiple pages to collect all available posts without manual intervention. - **Customizable Limits**: Set item limits to control the volume of data extracted, optimizing performance and storage. - **Reliable and Structured Output**: Delivers clean, JSON-formatted data with consistent fields for easy integration and analysis. - **High Performance**: Built for speed and efficiency, minimizing runtime while maximizing data accuracy. - **Error-Resilient**: Includes built-in mechanisms to handle common scraping challenges like network issues or site changes. - **Apify Integration**: Seamlessly runs on the Apify platform with support for various export formats. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | An array of URLs to scrape blog listings from. Must be valid HTTP/HTTPS URLs. | ["https://gabb.com/blog/"] | | itemLimit | integer| No | The maximum number of blog posts to extract. Defaults to 20 if not specified. | 50 | ### Example Usage To run the Gabb Bloglists Spider, configure the input parameters as shown below: ```json { "Urls": ["https://gabb.com/blog/"], "itemLimit": 20 } ```` Example output in JSON format: ```json [ { "url": "https://gabb.com/blog/nudify-apps/", "title": "Fake images, real threats: What parents should know about \u201cnudify\u201d apps", "date": "February 20, 2026", "image": "https://cdn.gabb.com/wp-content/uploads/2025/02/24-gabb-now-nudify-apps-blog-header-1280x558-V2-950x414.png", "page": "1", "actor_id": "qNkeBUf3UvTWjlAux", "run_id": "ZiA568fSaxLDZJGXa" }, { "url": "https://gabb.com/blog/tiktok-ban/", "title": "Understanding the TikTok ban: Here\u2019s the latest news", "date": "February 18, 2026", "image": "https://cdn.gabb.com/wp-content/uploads/2025/01/Hero-copy-950x436.png", "page": "1", "actor_id": "qNkeBUf3UvTWjlAux", "run_id": "ZiA568fSaxLDZJGXa" }, { "url": "https://gabb.com/blog/tiktok-trends/", "title": "Dumb, dangerous, and deadly TikTok trends you should know about", "date": "February 5, 2026", "image": "https://cdn.gabb.com/wp-content/uploads/2024/05/24-gabb-now-blog-tiktok-trends-header-1280x558-1-950x414.png", "page": "1", "actor_id": "qNkeBUf3UvTWjlAux", "run_id": "ZiA568fSaxLDZJGXa" } ] ``` ### Use Cases - **Market Research**: Analyze trends in parenting and tech-related blog content from Gabb.com to inform product development. - **Competitive Intelligence**: Monitor competitor blogs for new topics, dates, and imagery to stay ahead in the market. - **Content Aggregation**: Collect and organize blog posts for newsletters, databases, or content curation platforms. - **Academic Research**: Gather data on topics like child safety apps for studies in digital media and education. - **Business Automation**: Automate data extraction for reporting on industry news and updates. - **SEO Analysis**: Extract URLs and titles to assess content performance and keyword strategies. ### Installation and Usage 1. Search for "Gabb Bloglists 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 object represents a blog post with the following fields: - `url`: The full URL of the blog post. - `title`: The title of the post. - `date`: The publication date. - `image`: URL of the featured image. - `page`: The page number from which the post was extracted. - `actor_id`: Unique identifier for the Actor run. - `run_id`: Unique identifier for the specific run. This structured format ensures easy parsing and integration with other tools. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # 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://gabb.com/blog/" ], "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/gabb-bloglists-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/gabb-bloglists-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/gabb-bloglists-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/gabb-bloglists-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gabb Bloglists Spider", "description": "Gabb Bloglists Spider is an Apify Actor that efficiently scrapes blog post data from Gabb.com, extracting titles, dates, images, and URLs....", "version": "0.0", "x-build-id": "3p55Dv7UKechz0zet" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~gabb-bloglists-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-gabb-bloglists-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~gabb-bloglists-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-gabb-bloglists-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~gabb-bloglists-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-gabb-bloglists-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://gabb.com/blog/" ], "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 } } } } } } } } } } ```