> 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-your-system/nodes/ad-and-social-nodes-meta-tiktok.md).

# Ad & Social nodes (Meta, Tiktok)

Extract ads or social content to inform your flow with fresh visual marketing data.

The Meta Ads, TikTok, Instagram, and LinkedIn nodes give your flows 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 flows 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.

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### 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 flows automatically and have outputs land in organized Drive folders.