X Article Announcement Post Metadata Collector

Turn an X (Twitter) Article's announcement post or article link into structured metadata: title, preview text, cover image, publish date, and the announcement post with its author.

Open in Apify Store$0.99 / 1K on Free

Short answer

X Article Announcement Post Metadata Collector is an Apify Store Actor for X (Twitter) data that returns 6 published output fields, including sourceTweetUrl, type, title, author.username. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 7 input settings; one is required (tweetUrls). It covers 1 of the 7 core X (Twitter) fields this site tracks. Last updated Oct 18, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
X (Twitter) AutomationNewsSocial media

What it returns

6 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • type
  • title
  • author.username
  • articleId
  • bodyAvailable
  • sourceTweetUrl

Not in the schema among the core X (Twitter) fields: post_id, text, author, posted_at, likes, reposts. The field matrix shows which other tools return them.

How it differs from the other X (Twitter) Actors

Among the 12 catalogue Actors for X (Twitter) with a published schema, only this one returns articleId, bodyAvailable.

Pick another Actor if you need

Fields other X (Twitter) catalogue Actors return that X Article Announcement Post Metadata Collector does not
ActorFields it addsPrice / 1K
Twitter (X) Media Downloader tweetId, mediaUrl, mediaUrlOriginal, thumbnailUrl $0.99
X Post, Reply & Profile Lookup by Link or ID text, createdAt, likeCount, retweetCount $0.99
X (Twitter) Profile & Post Engagement Extractor message, name, text, createdAt $0.99
X Video Subtitle & Caption Transcript Converter tweetId, videoIndex, videoSource, authorName $0.99
X/Twitter Keyword & Hashtag Tweet Search text, createdAt, language, replyCount $0.99

Input

Input settings for X Article Announcement Post Metadata Collector
SettingTypeRequiredDefaultWhat it does
tweetUrls array Yes – Paste the post that announces the article (the post whose card opens the article), or the article link itself. For example https://x.com/vxunderground/status/1979885711579865307.
includeArticleBody boolean No true Include the complete article text: bodyText, bodyMarkdown, the rich content blocks, inline media and links.
includeAnnouncementPost boolean No true Attach the full announcement post (text, author, metrics, media) to every article row.
includeAuthorProfile boolean No true Enrich the author with their public profile (follower count, bio, verification, join date) so engagementRate can be computed.
includeCoverImage boolean No true Include the article's cover image link.
includePreviewText boolean No true Include the short preview text X shows for the article.
maxItems integer No 1000 Stop after this many article rows. Status rows are not counted.

Example input

Built from the input form's published example values and defaults.

{
  "tweetUrls": [
    "https://x.com/vxunderground/status/1979885711579865307"
  ],
  "includeArticleBody": true,
  "includeAnnouncementPost": true,
  "includeAuthorProfile": true,
  "includeCoverImage": true,
  "includePreviewText": true,
  "maxItems": 3
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "tweetUrls": [
        "https://x.com/vxunderground/status/1979885711579865307"
    ],
    "includeArticleBody": True,
    "includeAnnouncementPost": True,
    "includeAuthorProfile": True,
    "includeCoverImage": True,
    "includePreviewText": True,
    "maxItems": 3
}

run = client.actor("dataspryva/x-article-announcement-post-metadata-collector").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "tweetUrls": [
        "https://x.com/vxunderground/status/1979885711579865307"
    ],
    "includeArticleBody": true,
    "includeAnnouncementPost": true,
    "includeAuthorProfile": true,
    "includeCoverImage": true,
    "includePreviewText": true,
    "maxItems": 3
};

const run = await client.actor("dataspryva/x-article-announcement-post-metadata-collector").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/dataspryva~x-article-announcement-post-metadata-collector/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"tweetUrls":["https://x.com/vxunderground/status/1979885711579865307"],"includeArticleBody":true,"includeAnnouncementPost":true,"includeAuthorProfile":true,"includeCoverImage":true,"includePreviewText":true,"maxItems":3}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/x-article-announcement-post-metadata-collector",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Cost of X Article Announcement Post Metadata Collector results by Apify plan
Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among X (Twitter) routes

It ranks 9 of 12 catalogue Actors for X (Twitter) on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

Route diagram for X (Twitter) dataTwitter (X) Media Downloader: stops at 4 of the 10 fields shown; X Post, Reply & Profile Lookup by Link or ID: stops at 6 of the 10 fields shown; X (Twitter) Profile & Post Engagement Extractor: stops at 6 of the 10 fields shown; X Article Announcement Post Metadata Collector: stops at 0 of the 10 fields shown; Other Store tools (7): stops at 8 of the 10 fields shown; X API v2: public, field coverage not compared.X (Twitter)post idtextauthorlikesposted atrepostscreatedAtlikeCountretweetCountreplyCount1239+API

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Official route: X API v2

Public API. X API v2 uses prepaid pay-per-usage credits. Published standard read rates include $0.005 per Post resource and $0.010 per User resource. Pay-per-use launched on February 6, 2026; legacy Basic and Pro plans migrated to pay-per-use.

Charged per resource returned: $0.005 per Post, $0.010 per User. Owned Reads on qualifying own-account endpoints are $0.001 per resource. A 3 million Post-read monthly cap applies to self-serve pay-per-use.

Official documentation

Other Store tools for X (Twitter)

Reference only, from their public listings.

Other Store tools for X (Twitter)
ToolFieldsPrice / 1K
X (Twitter) Tweet Scraper120$0.15
Tweet Scraper17$0.25
Tweet Scraper V212$0.40
Twitter (X.com) Scraper Unlimited: No Limits12$0.40
Twitter (X) Follower Scraper29$0.15

What people use it for

  • Article text extraction
  • Announcement tracking

Other catalogue Actors for X (Twitter)

Twitter (X) Media Downloader

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X Video Subtitle & Caption Transcript Converter

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X/Twitter Keyword & Hashtag Tweet Search

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X Keyword Search with Mention & Reply Operators

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X Community Activity & Member Finder

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Facebook Page & Profile Finder by Keyword or URL

Find Facebook Pages or public profiles by keyword, or scrape a list of Facebook URLs directly, and get back contact info, category, ratings,…

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Questions people ask

How much does X Article Announcement Post Metadata Collector cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does X Article Announcement Post Metadata Collector return?

Its published output schema lists 6 fields: type, title, author.username, articleId, bodyAvailable, sourceTweetUrl. A listed field is not guaranteed to be filled in every row.

What input does X Article Announcement Post Metadata Collector need?

Required: tweetUrls. Optional settings include includeArticleBody, includeAnnouncementPost, includeAuthorProfile, includeCoverImage, includePreviewText, maxItems.

What are the alternatives to X Article Announcement Post Metadata Collector for X (Twitter)?

12 catalogue Actors cover X (Twitter). Close alternatives: Twitter (X) Media Downloader; X Post, Reply & Profile Lookup by Link or ID; X (Twitter) Profile & Post Engagement Extractor. The X (Twitter) page compares all of them field by field.

How do I run X Article Announcement Post Metadata Collector from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/x-article-announcement-post-metadata-collector").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/x-article-announcement-post-metadata-collector").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~x-article-announcement-post-metadata-collector/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-10-18 Data synced 2026-11-12
Cite this page

Scraper Finder. "X Article Announcement Post Metadata Collector." https://scraperfinder.com/catalogue/x-article-announcement-post-metadata-collector/ (data checked 2026-11-12).

Run X Article Announcement Post Metadata Collector

$0.99 per 1,000 results. Paste the example input above, set your X (Twitter) query, then export the dataset. Still choosing? Compare every X (Twitter) route.

Open in Apify Store