# Django Weblog Scraper (`compass_lab/django-weblog-scraper`) Actor

Django Weblog scraper: export posts from the official Django blog (title, author, date, summary, link) to JSON, CSV or Excel, to track Django releases and security announcements. No login.

- **URL**: https://apify.com/compass\_lab/django-weblog-scraper.md
- **Developed by:** [COMPASSLAB](https://apify.com/compass_lab) (community)
- **Categories:** News, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

**Get Django Weblog posts as clean JSON, CSV or Excel, from the Apify API or on a schedule. No login, about $1.00 for 1,000 posts.**

### What does Django Weblog Scraper do?

**Django Weblog Scraper** extracts structured data from **[djangoproject.com](https://djangoproject.com)**. Collect posts from the official Django weblog on djangoproject.com (title, URL, author, publication date and summary), following older-posts pagination, to track Django releases, security announcements and community news. It works
as an **API for djangoproject.com data**: run it from Apify Console, on a schedule, or from your own code, and get clean,
typed JSON with numbers as numbers and dates in ISO 8601.

### What you get

| | |
|---|---|
| **Data** | 6 fields per item: `url`, `title`, `postUrl`, `author`, `publishedAt`, `summary` |
| **Formats** | JSON, CSV, Excel, HTML, or the Apify API |
| **Price** | $1.00 per 1,000 posts, pay per result |
| **Access** | Public djangoproject.com data only: no login, no cookies, robots.txt respected |

### Why use Django Weblog Scraper?

- **Developers and maintainers**: follow releases and security announcements without checking the site.
- **Newsletters and digests**: pull the latest posts with dates, authors and summaries.
- **Market and community research**: analyse topics and publishing frequency over time.
- **AI agents and RAG**: give an LLM the latest official posts as structured data.

Main features:

- Follows pagination up to `maxPages` pages per start URL and stops at `maxItems` results.
- Polite by default: respects robots.txt, at most `maxConcurrency` parallel requests and a delay between requests.
- Checks every result against field validators, so layout changes show up as clear data-quality warnings.
- Runs on the Apify platform: scheduling, API access, integrations, monitoring and datasets you can export.

### What data can Django Weblog Scraper extract?

| Field | Type | Description |
|---|---|---|
| `url` | string | Index page the post was scraped from |
| `title` | string | Post title |
| `postUrl` | string | Absolute URL of the post |
| `author` | string | Post author name (null if not shown) |
| `publishedAt` | ISO 8601 date | Publication date (ISO 8601, YYYY-MM-DD) |
| `summary` | string | Summary or excerpt text shown on the index page |

### How to scrape djangoproject.com

1. Open Django Weblog Scraper in Apify Console and go to the Input tab.
2. Enter what to scrape (see the Input section below), for example the start URLs.
3. Set **Max items** to the number of results you need.
4. Click **Start** and wait for the run to finish.
5. Download the results from the Output tab, or fetch them with the API.

### How much will it cost to scrape djangoproject.com?

This Actor is priced **per result**: $1.00 per 1,000 results, with no extra charge for platform usage. That is about $1.00 for 1,000 posts: 100 results cost $0.10 and 10,000 results cost $10.00. Set a maximum cost per run and the Actor stops when it is reached.

### Input

See the Input tab for full configuration options.

| Field | Type | Required | Description |
|---|---|---|---|
| `maxItems` | integer | no | Maximum number of items to return (0 = unlimited). |
| `startUrls` | array | no | Blog index pages to scrape, for example https://www.djangoproject.com/weblog/. |
| `maxPages` | integer | no | Maximum listing pages to follow per start URL (pagination). |
| `maxConcurrency` | integer | no | Maximum parallel requests (politeness; 1-10). |
| `requestDelayMs` | integer | no | Minimum delay between requests, in milliseconds (at least 250). |

Example input:

```json
{
  "startUrls": [
    {
      "url": "https://www.djangoproject.com/weblog/"
    }
  ],
  "maxItems": 60,
  "maxPages": 3,
  "maxConcurrency": 2,
  "requestDelayMs": 1000
}
```

### Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Example results
from a real run:

```json
[
  {
    "url": "https://www.djangoproject.com/weblog/",
    "title": "DSF member of the month - Ken Whitesell",
    "postUrl": "https://www.djangoproject.com/weblog/2026/sep/24/dsf-member-of-the-month-ken-whitesell/",
    "author": "Sarah Abderemane",
    "publishedAt": "2026-09-24",
    "summary": "Ken Whitesell is the DSF member of the month for September 2026. Explore the story of a longtime Django community member since February 2017. He has been a helper in the Django forum for many years."
  },
  {
    "url": "https://www.djangoproject.com/weblog/",
    "title": "New Technical Governance Approved",
    "postUrl": "https://www.djangoproject.com/weblog/2026/sep/22/new-technical-governance-approved/",
    "author": "Tim Schilling and the Steering Council",
    "publishedAt": "2026-09-22",
    "summary": "Both the Steering Council and DSF Board have approved DEP 19, which implements our new technical governance. Thank you to everyone who read the document and participated in the process! This was the effort of two different DSF boards and dozens of community members."
  },
  {
    "url": "https://www.djangoproject.com/weblog/",
    "title": "Proposed change to DSF voting membership",
    "postUrl": "https://www.djangoproject.com/weblog/2026/sep/18/proposed-change-to-dsf-voting-membership/",
    "author": "Jeff Triplett and the DSF Board",
    "publishedAt": "2026-09-18",
    "summary": "A proposed bylaw change to how we count voting members for quorum. Comments are open until October 7."
  }
]
```

### Integrations and API

- **Apify API**: start a run and get the results in one HTTP request:

```bash
curl -X POST "https://api.apify.com/v2/acts/compass_lab~django-weblog-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" -d '{"startUrls": [{"url": "https://www.djangoproject.com/weblog/"}], "maxItems": 60}'
```

- **Python** (`pip install apify-client`):

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("compass_lab/django-weblog-scraper").call(run_input={"startUrls": [{"url": "https://www.djangoproject.com/weblog/"}], "maxItems": 60})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

- **JavaScript** (`npm install apify-client`):

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('compass_lab/django-weblog-scraper').call({"startUrls": [{"url": "https://www.djangoproject.com/weblog/"}], "maxItems": 60});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

- **Make, Zapier, n8n, Google Sheets, webhooks**: use the Apify integrations (Integrations tab) to send each
  run's results where you need them, or to start a run from your workflow.
- **Schedules**: run it hourly, daily or weekly from Apify Console (Schedules) and always have fresh posts.

### Tips and advanced options

- Keep **Max items** and **Max pages** as low as you need: fewer pages means a faster, cheaper run.
- Raise **Delay between requests** if the site responds slowly; keep **Max concurrency** low to stay polite.
- Missing values are `null`. Fields that often come back empty are listed in the run log as data-quality warnings.

### FAQ, disclaimers and support

#### Is it legal to scrape djangoproject.com?

Checked 2026-09-30. robots.txt (https://www.djangoproject.com/robots.txt) only disallows /admin and /checklists; /weblog/ and ?page=N are allowed for all user agents. The site links a code of conduct and a trademark policy but publishes no terms of use restricting automated access. Blog posts are copyright their authors / the DSF: this actor collects titles, authors, dates, summaries and links only; do not republish full post bodies. Keep request rates low (defaults: 2 concurrent, 1 s delay).

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location.
They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used
for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain
personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the
world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether
your reason is legitimate, consult your lawyers.

#### How many results can I get?

Up to `maxItems` per run (0 means no limit), as many as the source lists. Each result is one dataset item, and
you are only charged for items that are saved.

#### Can I run it on a schedule or from my own code?

Yes. Schedule it in Apify Console (Schedules), or call it with the `run-sync-get-dataset-items` endpoint or the
Python/JavaScript clients shown in **Integrations and API** above.

#### What are the limitations?

- Only what the blog index shows is collected: title, URL, date, author and summary, not the full post text.
- The author isn't shown for every post; it is `null` then.
- If djangoproject.com changes its page layout, results may be missing until the Actor is updated; the run log warns when fields stop matching.

#### Where can I get help?

Report problems or ideas on the Issues tab. To call this Actor from your own code, see the API tab.

### Related actors

the same clean, typed output across sources, so you can combine them in one dataset.

| Actor | What it scrapes | Price |
|---|---|---|
| [Breezy HR Jobs Scraper](https://apify.com/compass_lab/breezy-jobs-scraper) | Job listings from Breezy HR | $1.00 / 1,000 |
| [Open Canada Dataset Catalogue Scraper](https://apify.com/compass_lab/canada-general-scraper) | Dataset records from Open Canada | $1.00 / 1,000 |
| [data.gouv.fr Dataset Catalogue Scraper](https://apify.com/compass_lab/data-gouv-datasets-scraper) | Dataset records from data.gouv.fr | $1.00 / 1,000 |
| [Greenhouse Jobs Scraper](https://apify.com/compass_lab/greenhouse-jobs-scraper) | Job listings from Greenhouse | $1.60 / 1,000 |
| [Lever Jobs Scraper](https://apify.com/compass_lab/lever-jobs-scraper) | Job listings from Lever | $1.60 / 1,000 |
| [Python Jobs Scraper (python.org)](https://apify.com/compass_lab/python-job-board-scraper) | Job listings from Python Jobs Scraper (python.org) | $2.00 / 1,000 |
| [Recruitee Jobs Scraper](https://apify.com/compass_lab/recruitee-jobs-scraper) | Job listings from Recruitee | $1.00 / 1,000 |
| [We Work Remotely Jobs Scraper](https://apify.com/compass_lab/weworkremotely-jobs-scraper) | Job listings from We Work Remotely | $2.50 / 1,000 |
| [Working Nomads Jobs Scraper](https://apify.com/compass_lab/workingnomads-jobs-scraper) | Job listings from Working Nomads | $2.50 / 1,000 |

# Actor input Schema

## `maxItems` (type: `integer`):

Maximum number of items to return (0 = unlimited). You pay per result, so this also caps the cost.

## `startUrls` (type: `array`):

Blog index pages to scrape, for example https://www.djangoproject.com/weblog/.

## `maxPages` (type: `integer`):

Maximum listing pages to follow per start URL (pagination).

## `maxConcurrency` (type: `integer`):

Maximum parallel requests (politeness; 1-10).

## `requestDelayMs` (type: `integer`):

Minimum delay between requests, in milliseconds (at least 250).

## Actor input object example

```json
{
  "maxItems": 20,
  "startUrls": [
    {
      "url": "https://www.djangoproject.com/weblog/"
    }
  ],
  "maxPages": 3,
  "maxConcurrency": 2,
  "requestDelayMs": 1000
}
```

# Actor output Schema

## `dataset` (type: `string`):

All scraped items (overview view)

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 20,
    "startUrls": [
        {
            "url": "https://www.djangoproject.com/weblog/"
        }
    ],
    "maxPages": 3,
    "maxConcurrency": 2,
    "requestDelayMs": 1000
};

// Run the Actor and wait for it to finish
const run = await client.actor("compass_lab/django-weblog-scraper").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "maxItems": 20,
    "startUrls": [{ "url": "https://www.djangoproject.com/weblog/" }],
    "maxPages": 3,
    "maxConcurrency": 2,
    "requestDelayMs": 1000,
}

# Run the Actor and wait for it to finish
run = client.actor("compass_lab/django-weblog-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 20,
  "startUrls": [
    {
      "url": "https://www.djangoproject.com/weblog/"
    }
  ],
  "maxPages": 3,
  "maxConcurrency": 2,
  "requestDelayMs": 1000
}' |
apify call compass_lab/django-weblog-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,compass_lab/django-weblog-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Ol2MuUnVdTfBEhvE0/builds/2x82nfygsKC5Ufa9b/openapi.json