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Google Finance Markets API

Scrape Google Finance Markets data with one API call. Returns a unified QuoteList snapshot of the global markets overview: the major regional indices (US / Europe / Asia, tagged in `quote.ext.section`) plus the day's most-active, gainers, and losers movers. Each row is the same canonical Quote shape used everywhere — re-feed any `id` into /v1/google_finance/quote for the full detail. A standing overview (no input required); the regional grouping is baked into the single response. Sourced live from DataForSEO's Google Finance SERP (~4-8s).

Last updated June 2026

Try the Google Finance Markets API

See real data before writing a single line

GET/v1/google_finance/markets
2 optional parameters

Language as a DFS name ('English') or 2-letter code ('en'). Defaults to English.

Location as a DFS name ('United States') or numeric code ('2840'). Defaults to the US.

Searching 41 platforms in parallel

·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
Google Finance API

What can you do with the Markets API?

The Markets endpoint gives you structured Google Finance data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

curl "https://www.socialcrawl.dev/v1/google_finance/markets" \
  -H "x-api-key: YOUR_API_KEY"
import requests

response = requests.get(
    "https://www.socialcrawl.dev/v1/google_finance/markets",
    headers={"x-api-key": "YOUR_API_KEY"},
    params={},
)
data = response.json()
const params = new URLSearchParams({

});

const response = await fetch(`https://www.socialcrawl.dev/v1/google_finance/markets?${params}`, {
  headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();

Parameters

ParameterRequiredDescription
languageNoLanguage as a DFS name ('English') or 2-letter code ('en'). Defaults to English.
locationNoLocation as a DFS name ('United States') or numeric code ('2840'). Defaults to the US.
API Details

How does the Google Finance Markets API work?

Send a GET request with your API key and get back clean, structured JSON. Every response follows our unified schema with computed fields.

Method

GET

Response

JSON

Why SocialCrawl

Why use SocialCrawl for Google Finance Markets data?

We handle the complexity of Google Finance data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

How do you scrape social media data in seconds?

The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 41 platforms covering 10B+ monthly active users.

One schema, every platform

Query 41 platforms with identical response structures. Write your integration once.

Computed fields, not just scraped

Every response includes engagement_rate, estimated_reach, content_category, and language — ready to use.

See your data before you code

Visual Data Explorer — paste any URL, get rich result cards, sortable tables, CSV export.

import requests

response = requests.get(
    'https://www.socialcrawl.dev/v1/tiktok/profile',
    params={'handle': 'charlidamelio'},
    headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 41 platforms
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