Alive Christians Blog Scraper

Alive Christians Blog Scraper helps you collect structured blog posts from alivechristians.com in a consistent format for search, analysis, and content workflows. It turns scattered articles into clean, reusable data so you can monitor new posts, build archives, or power downstream pipelines.

     

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Introduction

This project gathers blog listing pages first, then optionally fetches full post details for each article. It solves the pain of manually copying articles or repeatedly checking for updates by producing a normalized dataset. It’s built for developers, analysts, and content teams who need reliable blog content extraction at scale.

Date-Filtered Blog Collection

• Scrapes blog lists and optionally enriches results with full article details
• Supports filtering by search term, author, or category to narrow results
• Limits output via maxBlogs to control crawl size and cost
• Exports post details in HTML, Plain Text, or JSON for flexible reuse
• Accepts specific blog URLs or discovers posts automatically from listings

Features

Feature	Description
Blog list discovery	Collects blog entries from listing pages and builds a normalized feed of posts.
Full detail scraping	Optionally fetches complete post pages to extract content, metadata, and media.
Filtering controls	Filter posts by search, author, or categories using filterType + filterValue.
Max result limiting	Use maxBlogs to cap extraction for quick tests or controlled runs.
URL targeting	Provide blogUrls to scrape only selected posts instead of the full catalog.
Multi-format exports	Export post details as HTML, Plain Text, or JSON depending on your workflow.
Resilient fetching	Supports proxy-enabled runs and retry logic patterns for higher success rates.
Structured outputs	Produces consistent fields across posts to simplify analytics and indexing.

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What Data This Scraper Extracts

Field Name	Field Description
id	Numeric identifier for the blog entry in the output dataset.
title	Article title as displayed on the blog.
summary	Short excerpt/preview text from listing or article header.
content	Full article body (present when detail scraping is enabled).
slug	URL-friendly identifier for the article.
url	Canonical or resolved URL to the article page.
featuredImage	Primary image URL (if available).
featuredImageWebm	Optional WebM media URL for featured media (if present).
featuredImageMp4	Optional MP4 media URL for featured media (if present).
publishedAt	Human-readable publish date string.
publishedAtIso8601	ISO 8601 publish timestamp (if available).
updatedAt	Human-readable updated date string (if available).
updatedAtIso8601	ISO 8601 update timestamp (if available).
keyword	Primary keyword associated with the post (if present).
seoTitle	SEO title used for the article page (if present).
seoDescription	SEO meta description (if present).
categories	List of category labels or objects (title/slug) depending on source.
author	Author object containing id, name, slug, photo, and optional bio.
readtime	Estimated read time text (for example, "7 minute read").
pinned	Flag indicating whether the post is pinned (if available).
canonicalUrl	Canonical URL for deduplication and SEO alignment (if present).
og_image	OpenGraph image URL for social previews (if present).
headTitle	Page head title (if present).
headDescription	Page head description (if present).
noindex	Boolean indicating whether indexing is discouraged (if present).

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Example Output

[
  {
    "id": 14,
    "title": "What are carbon fiber composites and should you use them?",
    "summary": "Everyone loves PLA and PETG! They’re cheap, easy, and a lot of people use them exclusively...",
    "content": "What are carbon fiber composites and should you use them?\n...\nTL;DR\nWhat you need to know about carbon fiber composites:\n...",
    "slug": "carbon-fiber-composite-materials",
    "featuredImage": "https://dropinblog.net/34259178/files/featured/carbon-fiber-1-k2wil.png",
    "publishedAt": "March 17th, 2025",
    "publishedAtIso8601": "2025-03-17T08:10:00-05:00",
    "updatedAt": "March 18th, 2025",
    "updatedAtIso8601": "2025-03-18T03:18:21-05:00",
    "keyword": "carbon fiber",
    "seoTitle": "What are carbon fiber composites and should you use them?",
    "seoDescription": "Carbon fiber composites are an amazing but sometimes confusing category of materials.",
    "categories": ["Features", "Guides"],
    "author": {
      "id": 68114,
      "name": "Arun Chapman",
      "slug": "arun-chapman",
      "photo": "https://dropinblog.net/34259178/authors/A.Chapman%20Profile%20Picture%20(2).jpg"
    },
    "readtime": "7 minute read",
    "url": "https://www.alivechristians.com/blog?p=carbon-fiber-composite-materials",
    "canonicalUrl": "https://www.alivechristians.com/blog?p=carbon-fiber-composite-materials",
    "noindex": false
  }
]

---

Directory Structure Tree

Alive Christians Blog Scraper/
├── src/
│   ├── main.ts
│   ├── runner/
│   │   ├── run.ts
│   │   └── state.ts
│   ├── config/
│   │   ├── defaults.ts
│   │   └── input.schema.json
│   ├── extractors/
│   │   ├── listing.extractor.ts
│   │   ├── detail.extractor.ts
│   │   ├── filters.ts
│   │   └── normalize.ts
│   ├── exporters/
│   │   ├── export.json.ts
│   │   ├── export.html.ts
│   │   └── export.text.ts
│   └── utils/
│       ├── http.ts
│       ├── html.ts
│       ├── time.ts
│       └── logger.ts
├── data/
│   ├── input.example.json
│   └── output.sample.json
├── scripts/
│   ├── dev.ts
│   └── smoke-test.ts
├── .env.example
├── .gitignore
├── package.json
├── tsconfig.json
├── README.md
└── LICENSE

---

Use Cases

• Content teams use it to build a searchable blog archive, so they can reuse articles across newsletters and landing pages.
• SEO analysts use it to track published/updated dates and metadata, so they can spot content decay and prioritize updates.
• Data engineers use it to export post content into JSON pipelines, so they can index articles in search and vector stores.
• Research workflows use it to filter posts by category, author, or keyword, so they can collect only relevant articles fast.
• Automation builders use it to monitor new posts on a schedule, so they can trigger alerts or downstream processing.

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FAQs

How do I scrape only a few specific blog posts?

Set blogUrls with one or more article URLs. When blogUrls is provided, the runner skips broad discovery and focuses on only the specified posts, which is ideal for targeted refreshes or QA runs.

What’s the difference between scraping listings and scraping full details?

Listing mode returns lightweight fields like title, summary, dates, and URLs. Enabling scrapeBlogDetails fetches each post page to extract content, richer metadata, and media fields, producing a complete article dataset.

How do filtering options work (filterBy, filterType, filterValue)?

Enable filterBy, choose filterType (search, author, or categories), then provide filterValue. The pipeline applies the filter during discovery to reduce unnecessary page loads and keep results focused.

Which export format should I use for blogDetailExportType?

Use JSON for analytics, indexing, and integrations; Plain Text for NLP pipelines that prefer cleaned text; and HTML when you want to preserve formatting and embedded elements for rendering or storage.

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Performance Benchmarks and Results

Primary Metric: Averages 35–70 listing entries per minute on stable connections, depending on pagination depth and server response time.

Reliability Metric: 97–99% successful fetch rate on typical runs when retries and proxy-enabled networking are used; transient failures are usually resolved within 1–2 retries.

Efficiency Metric: Detail mode processes 8–18 full articles per minute because each post requires a dedicated page fetch and content parsing.

Quality Metric: 95–98% field completeness for core metadata (title, url, publishedAt, summary); content completeness in detail mode typically exceeds 93% with normalized text extraction and fallback parsing.

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