> For the complete documentation index, see [llms.txt](https://docs.pletor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pletor.ai/build-agents/nodes/ad-and-social-nodes-meta-tiktok.md).

# Ad & Social nodes (Meta, Tiktok)

The Meta Ads, TikTok, Instagram, and LinkedIn nodes give your agents access to real-time marketing data from major platforms. Use them to pull in competitor ads, trending content, or industry examples as context for your AI nodes.

#### Use cases

* **Competitor analysis** — pull recent ads from competitors to understand their creative direction, then use that as context for generating your own assets.
* **Trend monitoring** — extract trending content formats or themes to inform your creative strategy.
* **Style reference** — feed real-world ad examples into your generation nodes as visual or textual inspiration.
* **Market research** — gather current campaign examples from your industry to brief your agents with fresh context.

### Available nodes

| Node                        | What it does                                    | Direction    | Platform                    |
| --------------------------- | ----------------------------------------------- | ------------ | --------------------------- |
| **Meta Ads**                | Extract Facebook and Instagram ads and creative | Pull data in | Meta (Facebook / Instagram) |
| **TikTok Posts Scraper**    | Collect trending content and posts from TikTok  | Pull data in | TikTok                      |
| **Instagram Posts Scraper** | Extract posts based on keywords or usernames    | Pull data in | Instagram                   |
| **LinkedIn**                | Pull B2B ads and industry posts                 | Pull data in | LinkedIn                    |

#### Best practices

* Connect ad/social nodes to a **Text Assistant** with an advanced LLM to analyze and summarize the extracted content before passing it to generation nodes.
* **Filter strategically** — focus on the most relevant data rather than pulling everything.
* **Combine with Brand System nodes** — use competitor intelligence as reference, but always layer your own brand identity on top.

***

### Tips

* **Ad intelligence → Text Assistant → Generate Image** is a powerful chain. Pull competitor ads, have an LLM analyze what makes them effective, then use those insights to generate your own creative.
* **Google Drive Upload is ideal for batch workflows.** Combine it with the API to run agents automatically and have outputs land in organized Drive folders.