Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add thirdwatch-dev/scraping-skills --skill social-media-content-scrapinggit clone --depth 1 https://github.com/thirdwatch-dev/scraping-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thirdwatch-dev/scraping-skills/social-media-content-scraping)<a href="https://agentmods.dev/skills/thirdwatch-dev/scraping-skills/social-media-content-scraping"><img src="https://agentmods.dev/badge/skills/thirdwatch-dev/scraping-skills/social-media-content-scraping/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thirdwatch-dev/scraping-skills/social-media-content-scraping"><img src="https://agentmods.dev/badge/skills/thirdwatch-dev/scraping-skills/social-media-content-scraping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00130 | $0.01616 |
| Opus 5 | $0.00065 | $0.00808 |
| Sonnet 5 | $0.00026 | $0.00323 |
| Haiku 4.5 | $0.00013 | $0.00162 |
Grade A, and why
social-media-content-scraping scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "https://api.apify.com/v2/acts/thirdwatch~reddit-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media & Content Scraping
Routes social and content-platform scraping tasks to a maintained scraper, or to the engineering skills if you're building your own.
The reality of social platforms
Most social platforms went client-side rendered years ago, so the raw HTML you fetch is an empty shell. The actual data arrives one of two ways:
- Signed internal XHR/JSON APIs the page calls after load — most platforms expose a search or profile JSON endpoint the front-end hits (Reddit's
.jsonURLs are the well-known public example). Open DevTools → Network → XHR and you'll usually find structured JSON you can call directly. - Embedded JSON blobs in the initial document —
__UNIVERSAL_DATA_FOR_REHYDRATION__(TikTok profile metadata),ytInitialData(YouTube),__NEXT_DATA__, or JSON-LD. Full structured data, no DOM parsing.
Practical notes that save days:
- Profile / single-URL lookups are far easier than keyword or hashtag search. Hashtag and keyword endpoints are the most heavily defended and frequently require login (Instagram hashtags, in particular). If you only need data for a known handle or post URL, you'll get it more cheaply and reliably than from a search query.
- Engagement metrics live next to the content. Likes, retweets, comment counts, view counts, follower totals and reaction breakdowns are almost always in the same JSON payload as the post itself — you rarely need a second request to enrich them.
- Some targets (TikTok search, anything behind DataDome/Cloudflare) need a stealth browser + residential proxy; many (Twitter syndication, YouTube, Reddit
.json) work over plain HTTP, so try HTTP first and only escalate when you actually get blocked. - Don't log in. Authenticated scraping multiplies both legal and account-ban risk. Stick to public surfaces.
- For RAG / video-understanding pipelines, scrape transcripts rather than audio — captions are text-ready, timestamped, and far cheaper than downloading and transcribing media yourself.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 82 lines · 130 tokens per session scan A 7f1661afdb04
social-media-content-scraping is a skill published in the GitHub repository thirdwatch-dev/scraping-skills (3 stars, last pushed 2mo ago), licensed MIT. It adds 130 tokens to every session and 1,616 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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