---
title: Scraping Social Media & App Stores
description: One REST request returns structured JSON from the App Store, Google Play, YouTube, Reddit, TikTok, X, Instagram, Facebook, and LinkedIn. Posts, videos, transcripts, comments, profiles, reviews, and job postings.
order: 45
---

# Scraping Social Media & App Stores

Chocodata now covers the social and app-store surfaces alongside the rest of the web. The same single GET you already use for e-commerce and search returns structured JSON for apps, videos, posts, profiles, and job listings:

```http
GET https://api.chocodata.com/api/v1/{target}/{resource}?api_key=YOUR_KEY&...
```

No login, no session juggling, no per-platform SDK. Pass the identifier (an app ID, a video ID, a username, a post URL) and get back typed fields.

## What you can pull

| Platform | `{target}` | Resources |
|---|---|---|
| Apple App Store | `appstore` | `search`, `product`, `reviews` |
| Google Play | `googleplay` | `product`, `search` |
| YouTube | `youtube` | `video`, `channel`, `comments`, `transcript` |
| Reddit | `reddit` | `subreddit`, `post`, `user`, `search` |
| TikTok | `tiktok` | `video`, `profile`, `oembed` |
| X (Twitter) | `xtwitter` | `tweet` |
| Instagram | `instagram` | `profile`, `post` |
| Facebook | `facebook` | `page`, `post` |
| LinkedIn | `linkedin` | `jobsearch`, `job`, `company` |

A few highlights:

- **App stores, both sides.** Search a storefront, pull a single app's full listing (price, version, ratings, genres, screenshots), and page through user reviews on the App Store, plus the Google Play equivalent.
- **YouTube, including transcripts and comments.** Beyond video metadata and channel uploads, `youtube.transcript` returns the timed caption track as timestamped segments and one joined string, and `youtube.comments` returns top or newest comments with author, like count, and reply count.
- **Reddit, with scores.** Posts and comments carry their `score`, `upvote_ratio`, and `num_comments`, so you can rank and filter by engagement straight from the response.
- **TikTok, X, Instagram, Facebook, LinkedIn.** Video and post detail with engagement stats, public profiles and company pages, and LinkedIn job search plus single-job detail.

## A first call

```bash
curl "https://api.chocodata.com/api/v1/youtube/transcript?api_key=YOUR_KEY&video_id=dQw4w9WgXcQ"
```

```json
{
  "video_id": "dQw4w9WgXcQ",
  "language": "en",
  "is_generated": false,
  "segment_count": 61,
  "segments": [
    { "text": "♪ We're no strangers to love ♪", "start": 18640, "duration": 3240 }
  ],
  "text": "♪ We're no strangers to love ♪ ♪ You know the rules and so do I ♪…"
}
```

The shape is the same one every Chocodata endpoint follows, so if you've used the [Product](/docs/endpoints/product) or [Search](/docs/endpoints/search) endpoints, these will feel familiar.

## Per-endpoint reference

The full request shape, every parameter (with allowed enum values), and a real example response for each of these endpoints live in the endpoint reference:

- [App Stores](/docs/endpoint-reference#app-stores) - `appstore` and `googleplay`.
- [Social Media](/docs/endpoint-reference#social-media) - `reddit`, `youtube`, `tiktok`, `xtwitter`, `instagram`, `facebook`, and `linkedin`.

## Related

- [Endpoint reference](/docs/endpoint-reference) - the resource model and every endpoint's request/response.
- [Product endpoint](/docs/endpoints/product) - the specific-item pattern these follow.
- [Search endpoint](/docs/endpoints/search) - the list pattern.
- [Getting started](/docs/getting-started) - your first scrape in two minutes.