Finance History API
Returns daily OHLCV bars for a date range. Each row carries close and adj_close separately, plus any dividend or split effective that day.
GET /v1/finance/historyLast updated November 2026Maintained by the SocialCrawl team
When to use the Finance History API
Use it for charts, returns and backtests. Pick adj_close for total return, close for price. Delisted tickers return nothing; recycled ones return the new company.
From the API reference
Returns daily OHLCV bars for one instrument across an explicit date range, as a unified BarList. Each row carries close AND adj_close as separate leaves, and the distinction matters: close is split-adjusted only, adj_close is adjusted for splits AND dividends. Use adj_close for total-return maths and close for drawing prices; substituting one for the other produces a plausible wrong answer whose error grows the further back you look. Cash dividends and splits appear on the dated row they take effect, so a corporate-action history needs no second call. Delisted instruments return no data, and a recycled ticker resolves to whichever company currently holds the symbol.
Searching 69 platforms in parallel
What can you do with the History API?
The History endpoint gives you structured Finance data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
# GET /v1/finance/history: 1 credit per call. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 60: the API's own time limit for this endpoint.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 60 --retry 3 -o response.json \
-H "x-api-key: YOUR_API_KEY" \
-H "Idempotency-Key: $IDEMPOTENCY_KEY" \
"https://www.socialcrawl.dev/v1/finance/history?keyword=AAPL&start_date=2026-06-01&end_date=2026-09-01" && cat response.json# GET /v1/finance/history: 1 credit per call. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid
import requests
API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 60 # the API's own time limit for this endpoint.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/finance/history"
def backoff(attempt):
# Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
return 2 ** attempt * (0.5 + random.random() / 2)
def socialcrawl(params):
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
idempotency_key = str(uuid.uuid4())
for attempt in range(MAX_RETRIES + 1):
try:
res = requests.get(
URL,
params=params,
headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
timeout=TIMEOUT_S,
)
body = res.json()
except (requests.RequestException, ValueError):
# A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if attempt == MAX_RETRIES:
raise
time.sleep(backoff(attempt))
continue
if body["success"]:
return body
error = body["error"]
# Branch on error["type"], never on the message text.
if error["type"] == "RESOURCE_NOT_FOUND":
return None # refunded: nothing to read
retry_after = res.headers.get("Retry-After")
# SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
# Retry-After (seconds) wins; otherwise back off.
time.sleep(float(retry_after) if retry_after else backoff(attempt))
params = {
"keyword": "AAPL",
"start_date": "2026-06-01",
"end_date": "2026-09-01",
}
body = socialcrawl(params)
if body is not None:
print(body["data"])// GET /v1/finance/history: 1 credit per call. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 60_000; // the API's own time limit for this endpoint.
const MAX_RETRIES = 3;
type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
| { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
| { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };
const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);
async function socialcrawl(url: URL) {
// One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
const idempotencyKey = crypto.randomUUID();
for (let attempt = 0; ; attempt++) {
let res: Response;
let body: SocialCrawlResponse;
try {
res = await fetch(url, {
headers: {
"x-api-key": API_KEY,
"Idempotency-Key": idempotencyKey,
},
signal: AbortSignal.timeout(TIMEOUT_MS),
});
body = (await res.json()) as SocialCrawlResponse;
} catch (error) {
// A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if (attempt >= MAX_RETRIES) throw error;
await sleep(backoffMs(attempt));
continue;
}
if (body.success) return body;
// Branch on error.type, never on the message text.
if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
const retryAfter = res.headers.get("Retry-After");
// SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
}
// Retry-After (seconds) wins; otherwise back off.
await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
}
}
const url = new URL("https://www.socialcrawl.dev/v1/finance/history");
url.searchParams.set("keyword", "AAPL");
url.searchParams.set("start_date", "2026-06-01");
url.searchParams.set("end_date", "2026-09-01");
const body = await socialcrawl(url);
if (body) console.log(body.data);Parameters
| Parameter | Required | Description |
|---|---|---|
| keyword | Yes | Instrument ticker. A bare symbol ('AAPL', '005930.KS') or the 'TICKER:EXCHANGE' form from ticker-search; the exchange suffix is ignored. |
| start_date | Yes | First session to return, as YYYY-MM-DD. |
| end_date | Yes | Last session to return, as YYYY-MM-DD. |
| interval | No | Bar width. Defaults to 1d (daily). Wider intervals return fewer, coarser rows over the same range. (1d | 5d | 1wk | 1mo | 3mo) |
What does the Finance History API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "finance",
"endpoint": "/v1/finance/history",
"data": {
"items": [
{
"bar": {
"id": "AAPL:2026-06-01T13:30:00Z",
"symbol": "AAPL",
"date": "2026-06-01T13:30:00Z",
"open": 309.6300048828125,
"high": 310.94000244140625,
"low": 305.0199890136719,
"close": 306.30999755859375,
"adj_close": 306.0460510253906,
"volume": 48849900,
"dividend": null,
"split_ratio": null,
"currency": "USD",
"interval": "1d"
}
},
{
"bar": {
"id": "AAPL:2026-06-02T13:30:00Z",
"symbol": "AAPL",
"date": "2026-06-02T13:30:00Z",
"open": 307.4599914550781,
"high": 315.45001220703125,
"low": 306.69000244140625,
"close": 315.20001220703125,
"adj_close": 314.92840576171875,
"volume": 44534700,
"dividend": null,
"split_ratio": null,
"currency": "USD",
"interval": "1d"
}
}
],
"total": null,
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": null,
"has_more": false,
"page_size": 64
},
"credits_remaining": 9999,
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
How does the Finance History API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 69 platforms covering 10B+ monthly active users.
One schema, every platform
Query 69 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record 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(){
"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
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usWhat does the Finance History API return?
When should I use the Finance History endpoint?
How much does the Finance History API cost?
What parameters does the Finance History API need?
How do I call the Finance History API?
Ask AI about SocialCrawl
Ready to scrape Finance History data?
Get your API key and start pulling Finance data in under 60 seconds.
