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
Searching 41 platforms in parallel
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
| Parameter | Required | Description |
|---|---|---|
| language | No | Language as a DFS name ('English') or 2-letter code ('en'). Defaults to English. |
| location | No | Location as a DFS name ('United States') or numeric code ('2840'). Defaults to the US. |
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
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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(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
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