feat(tools): add social_platforms tool for Apify social scraping

[protoss70]

What

Adds TikTok, Instagram, Youtube and LinkedIn scrapers as a built-in tool for the OpenClaw agent.

How

Created a new tool called social-platforms where by only providing you Apify token it can start scraping these websites

How to test

Testing this will be tricky because you need a VPS with Docker installed. After that you can follow the following commands to start your OpenClaw

1. Clone this repository at the feat/apify-social-scraper branch
2. Cd into it cd openclaw
3. put the following tokens into env files

cp .env.example .env
nano .env

• APIFY_TOKEN (at the bottom, make sure to uncomment it)
• A model provider token (I use Anthropic) Smarter models work better for testing

5. build the docker: docker build -t openclaw .
6. run the docker with the following command (NOTE it is important to keep the restart logic)

sudo docker run -d \
  --name openclaw-gateway \
  --restart unless-stopped \
  --env-file .env \
  -p 3000:3000 \
  openclaw \
  node openclaw.mjs gateway --allow-unconfigured --bind lan

7. Configure openclaw models, choose model -> select your provider -> make sure a model is selected (it will restart once you do this so wait about 5 seconds)

sudo docker exec -it openclaw-gateway node openclaw.mjs configure

8. Run the following command to start chatting with your OpenClaw agent. You can ask it to list all available built-in tools it has. If the social scraper not showing up, there is an issue with your settup. If it is showing you can start prompting your way

sudo docker exec -it openclaw-gateway node openclaw.mjs tui

---

Pipeline

The pipeline fails here because we dont have all repository secrets but you can check out the actual PR pointing to the openclaw repo here: openclaw#19421

[github-actions]

⚠️ Formal models conformance drift detected

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[github-actions]

⚠️ Formal models conformance drift detected

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[github-actions]

⚠️ Formal models conformance drift detected

The formal models extracted constants (generated/*) do not match this openclaw PR.

This check is informational (not blocking merges yet).
See the formal-models-conformance-drift artifact for the diff.

If this change is intentional, follow up by updating the formal models repo or regenerating the extracted artifacts there.

[github-actions]

⚠️ Formal models conformance drift detected

The formal models extracted constants (generated/*) do not match this openclaw PR.

This check is informational (not blocking merges yet).
See the formal-models-conformance-drift artifact for the diff.

If this change is intentional, follow up by updating the formal models repo or regenerating the extracted artifacts there.

[github-actions]

⚠️ Formal models conformance drift detected

The formal models extracted constants (generated/*) do not match this openclaw PR.

This check is informational (not blocking merges yet).
See the formal-models-conformance-drift artifact for the diff.

If this change is intentional, follow up by updating the formal models repo or regenerating the extracted artifacts there.

[github-actions]

⚠️ Formal models conformance drift detected

The formal models extracted constants (generated/*) do not match this openclaw PR.

This check is informational (not blocking merges yet).
See the formal-models-conformance-drift artifact for the diff.

If this change is intentional, follow up by updating the formal models repo or regenerating the extracted artifacts there.

[github-actions]

⚠️ Formal models conformance drift detected

The formal models extracted constants (generated/*) do not match this openclaw PR.

This check is informational (not blocking merges yet).
See the formal-models-conformance-drift artifact for the diff.

If this change is intentional, follow up by updating the formal models repo or regenerating the extracted artifacts there.

[MQ37]

Quickly went through it and LGTM, merge it if it works 👍 I just do not like the hardcoded Actor input parameters, but let's keep it simple - but we need to make sure we keep it updated.