100 free credits. No credit card required
Content Analysis Search API
Scrape Content Analysis Search data with one API call. Returns paginated web citations (news, blogs, ecommerce, message-boards, organization pages) that mention the keyword, each scored on a 6-axis emotional sentiment model (anger, happiness, love, sadness, share, fun) plus positive/negative/neutral connotation probabilities. This is web-wide brand listening over a web-wide citation index: page-level mentions, not native platform posts. Cursor-paginated via `cursor`; `total` is the global match count, not the page size.
Last updated October 2026Maintained by the SocialCrawl team
Returns pages across news, blogs, shops, and message boards that mention your keyword, each scored for sentiment and emotional tone.
Use it to read the individual mentions and page through them; for one roll-up per keyword use summary instead.
Searching 69 platforms in parallel
·
TikTok·
Instagram·
YouTube·
Facebook·
X·
LinkedIn·
Reddit·
Threads·
Pinterest·
Twitch·
Truth Social·
Snapchat·
Kick·
Bluesky·
Kwai·
Rumble·
Spotify·
Apple Music·TikTok Shop·
Amazon Shop·
Google Shopping·
Trustpilot·
TripAdvisor·
Yelp·
Linktree·
Komi·
Pillar·
lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·
Finance·
Polymarket·
Tavily·
Hacker News·
GitHub·
Perplexity·
Naver·
Utility·
Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchContent Analysis API
What can you do with the Search API?
The Search endpoint gives you structured Content Analysis data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
# GET /v1/content_analysis/search: 20 credits 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/content_analysis/search?keyword=openai&search_mode=as_is&limit=10" && cat response.json# GET /v1/content_analysis/search: 20 credits 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/content_analysis/search"
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": "openai",
"search_mode": "as_is",
"limit": "10",
}
body = socialcrawl(params)
if body is not None:
print(body["data"])// GET /v1/content_analysis/search: 20 credits 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/content_analysis/search");
url.searchParams.set("keyword", "openai");
url.searchParams.set("search_mode", "as_is");
url.searchParams.set("limit", "10");
const body = await socialcrawl(url);
if (body) console.log(body.data);Parameters
| Parameter | Required | Description |
|---|---|---|
| keyword | Yes | Brand or term to find mentions of. Wrap in escaped double-quotes for an exact phrase (e.g. "logitech mouse"). |
| page_type | No | Narrow to one or more page types (comma-separated): ecommerce, news, blogs, message-boards, organization. Translated to a page_types filter upstream. (ecommerce | news | blogs | message-boards | organization) |
| search_mode | No | as_is (default) returns every matching page; one_per_domain dedupes to the top page per domain. (as_is | one_per_domain) |
| limit | No | Number of citations to return per page (1-100, default 10). Paginate via `cursor` for more. |
| cursor | No | Opaque pagination cursor: pass the `next_cursor` from the previous response to fetch the next page. |
| order_by | No | Sort rules as "field,direction"; separate multiple rules with ";" (e.g. content_info.sentiment_connotations.anger,desc). |
| filters | No | Advanced filter expression as a JSON array (≤8 conditions). Combined with page_type via AND when both are present. |
Example Response
What does the Content Analysis Search 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": "content_analysis",
"endpoint": "/v1/content_analysis/search",
"data": {
"items": [
{
"url": "https://timesofindia.indiatimes.com/topic/openai",
"domain": "timesofindia.indiatimes.com",
"main_domain": "indiatimes.com",
"country": "IN",
"language": "en",
"domain_rank": 648,
"spam_score": 0,
"fetch_time": "2026-09-26 14:41:03 +00:00",
"page_types": [
"news",
"organization"
],
"title": "OpenAI",
"snippet": "OpenAI is a private artificial intelligence research group created by Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and Elon Musk in December 2015.\nThe fundamental point of establishing OpenAI was to responsibly develop and promote benign AI. The creators believed that AI had the ability to aid in the resolution of some of the world's most urgent issues.\nStarting off as a research organization in the field of artificial intelligence, it eventually developed GPT-2, a language model capable of producing human-like prose, as well as OpenAI Gym, a toolset for designing and comparing reinforcement learning algorithms.\nAside from research and development, OpenAI is involved in policy work, education and outreach, and the development of AI applications. The company also has a number of agreements with other AI-related organizations, including Microsoft, Google, and IBM.\nDALL-E, another AI model, was one of OpenAI's core efforts. It is a generative model capable of producing graphics from text descriptions. It is based on the GPT-3 model, which is one of OpenAI's most advanced language models.\nThe board of directors of OpenAI removed Sam Altman, the organization's co-founder and CEO. The principal reason given for his dismissal was a lack of constant openness in his discussions with board members, which was considered as impeding their ability to carry out their obligations efficiently.\nThis decision was the result of a rigorous evaluation process by the board, which resulted in a lack of trust in Altman's capacity to lead OpenAI in the future.\nMira Murati is the new interim CEO and CTO of OpenAI. Murati is also one of the leading developers of ChatGPT.",
"sentiment": {
"anger": 0.06283660978078842,
"happiness": 0.27491387724876404,
"love": 0.15093187987804413,
"sadness": 0.0974915474653244,
"share": 0.234482541680336,
"fun": 0.17940358817577362
},
"connotation": {
"positive": 0.31331169605255127,
"negative": 0.4118451774120331,
"neutral": 0.27487316727638245
},
"rating": null,
"text_category": [
10108,
10013
],
"date_published": null,
"_raw": {
"type": "content_analysis_search",
"url": "https://timesofindia.indiatimes.com/topic/openai",
"domain": "timesofindia.indiatimes.com",
"main_domain": "indiatimes.com",
"url_rank": 368,
"spam_score": 0,
"domain_rank": 648,
"fetch_time": "2026-09-26 14:41:03 +00:00",
"country": "IN",
"language": "en",
"score": 534206.06,
"page_category": [
10108,
10584
],
"page_types": [
"news",
"organization"
],
"ratings": null,
"social_metrics": null,
"content_info": {
"content_type": "page_content",
"title": "OpenAI",
"main_title": "OpenAI",
"previous_title": null,
"level": 1,
"author": null,
"snippet": "OpenAI is a private artificial intelligence research group created by Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and Elon Musk in December 2015.\nThe fundamental point of establishing OpenAI was to responsibly develop and promote benign AI. The creators believed that AI had the ability to aid in the resolution of some of the world's most urgent issues.\nStarting off as a research organization in the field of artificial intelligence, it eventually developed GPT-2, a language model capable of producing human-like prose, as well as OpenAI Gym, a toolset for designing and comparing reinforcement learning algorithms.\nAside from research and development, OpenAI is involved in policy work, education and outreach, and the development of AI applications. The company also has a number of agreements with other AI-related organizations, including Microsoft, Google, and IBM.\nDALL-E, another AI model, was one of OpenAI's core efforts. It is a generative model capable of producing graphics from text descriptions. It is based on the GPT-3 model, which is one of OpenAI's most advanced language models.\nThe board of directors of OpenAI removed Sam Altman, the organization's co-founder and CEO. The principal reason given for his dismissal was a lack of constant openness in his discussions with board members, which was considered as impeding their ability to carry out their obligations efficiently.\nThis decision was the result of a rigorous evaluation process by the board, which resulted in a lack of trust in Altman's capacity to lead OpenAI in the future.\nMira Murati is the new interim CEO and CTO of OpenAI. Murati is also one of the leading developers of ChatGPT.",
"snippet_length": 1688,
"social_metrics": null,
"highlighted_text": null,
"language": "en",
"sentiment_connotations": {
"anger": 0.06283660978078842,
"happiness": 0.27491387724876404,
"love": 0.15093187987804413,
"sadness": 0.0974915474653244,
"share": 0.234482541680336,
"fun": 0.17940358817577362
},
"connotation_types": {
"positive": 0.31331169605255127,
"negative": 0.4118451774120331,
"neutral": 0.27487316727638245
},
"text_category": [
10108,
10013
],
"date_published": null,
"content_quality_score": 93,
"semantic_location": null,
"rating": null,
"group_date": "2023-10-16 16:50:13 +00:00"
}
}
},
{
"url": "https://plus.freshnewsasia.com/index.php/en/freshnewsplus/388133-2025-05-17-08-46-45.html",
"domain": "plus.freshnewsasia.com",
"main_domain": "freshnewsasia.com",
"country": null,
"language": "en",
"domain_rank": 394,
"spam_score": 0,
"fetch_time": "2025-06-11 01:53:37 +00:00",
"page_types": [
"cms",
"news"
],
"title": "OpenAI គ្រោងជួយប្រទេសអេមីរ៉ាត់អារ៉ាប់រួមអភិវឌ្ឍមជ្ឈមណ្ឌលទិន្នន័យដ៏ធំបំផុតមួយរបស់ពិភពលោក",
"snippet": "(បរទេស)៖ សារព័ត៌មាន Bloomberg បានរាយការណ៍នៅថ្ងៃសុក្រសប្តាហ៍នេះថា ក្រុមហ៊ុនបច្ចេកវិទ្យាយក្ស OpenAI គ្រោងនឹងជួយអភិវឌ្ឍមជ្ឈមណ្ឌលទិន្នន័យដ៏ធំមួយនៅទីក្រុង Abu Dhabi ប្រទេសអារ៉ាប់រួម ដែលអាចក្លាយជាមជ្ឈមណ្ឌលធំបំផុតមួយក្នុងពិភពលោក។ នេះបើយោងតាមការចេញផ្សាយដោយទីភ្នាក់ងារសារព័ត៌មាន Reuters នៅថ្ងៃទី១៧ ខែឧសភា ឆ្នាំ២០២៥។\nគម្រោងនេះត្រូវបានគេរំពឹងថានឹងមានសមត្ថភាព ៥ ជីហ្គាវ៉ាត់ ដែលធ្វើឱ្យវាក្លាយជាការពង្រីកដ៏សំខាន់នៃមហិច្ឆតាហេដ្ឋារចនាសម្ព័ន្ធ AI សកលរបស់ OpenAI។ របាយការណ៍ពី Bloomberg ដដែលបានឱ្យដឹងទៀតថា ការចូលរួមរបស់ក្រុមហ៊ុន OpenAI នៅមិនទាន់ត្រូវបានបញ្ចប់នៅឡើយនោះទេ ប៉ុន្តែការប្រកាសជាផ្លូវការអាចនឹងមកដល់ក្នុងពេលដ៏ខ្លីខាងមុខនេះ។ យ៉ាងណាមិញ ជុំវិញព័ត៌មានលម្អិតអំពីរបាយការណ៍នេះ OpenAI មិនទាន់មានការឆ្លើយតបលើសំណើរសុំការអត្ថាធិប្បាយនៅឡើយនោះទេ។\nគួរជម្រាបថា ប្រទេសអេមីរ៉ាត់អារ៉ាប់រួម (UAE) និងសហរដ្ឋអាមេរិកនៅថ្ងៃព្រហស្បតិ៍សប្តាហ៍នេះ បានចុះហត្ថលេខាលើកិច្ចព្រមព្រៀងដ៏សំខាន់មួយសម្រាប់ UAE ដើម្បីសាងសង់បរិវេណសាលាបញ្ញាសិប្បនិម្មិត (AI) ដ៏ធំបំផុតនៅខាងក្រៅសហរដ្ឋអាមេរិក ដែលមានទីតាំងនៅ Abu Dhabi។ រោងចក្រនេះ ត្រូវបានគេបង្ហើបឱ្យដឹងថានឹងគ្របដណ្តប់លើផ្ទៃដីប្រហែល ១០ ម៉ាយការ៉េ ហើយនឹងប្រើប្រាស់ថាមពលស្មើនឹងម៉ាស៊ីនរ៉េអាក់ទ័រនុយក្លេអ៊ែរចំនួន ៥ ដោយកាត់បន្ថយហេដ្ឋារចនាសម្ព័ន្ធ AI ដែលមានស្រាប់ដោយ OpenAI ឬដៃគូប្រកួតប្រជែងរបស់វា៕",
"sentiment": {
"anger": 0.14812691509723663,
"happiness": 0.18087238073349,
"love": 0.17585210502147677,
"sadness": 0.15571703016757965,
"share": 0.18157997727394104,
"fun": 0.15791159868240356
},
"connotation": {
"positive": 0.3091999888420105,
"negative": 0.5366879105567932,
"neutral": 0.15414205193519592
},
"rating": null,
"text_category": [
10108,
10017
],
"date_published": "2025-05-17 08:46:45 +00:00",
"_raw": {
"type": "content_analysis_search",
"url": "https://plus.freshnewsasia.com/index.php/en/freshnewsplus/388133-2025-05-17-08-46-45.html",
"domain": "plus.freshnewsasia.com",
"main_domain": "freshnewsasia.com",
"url_rank": 286,
"spam_score": 0,
"domain_rank": 394,
"fetch_time": "2025-06-11 01:53:37 +00:00",
"country": null,
"language": "en",
"score": 420719.28,
"page_category": [
10108,
13647
],
"page_types": [
"cms",
"news"
],
"ratings": null,
"social_metrics": null,
"content_info": {
"content_type": "page_content",
"title": "OpenAI គ្រោងជួយប្រទេសអេមីរ៉ាត់អារ៉ាប់រួមអភិវឌ្ឍមជ្ឈមណ្ឌលទិន្នន័យដ៏ធំបំផុតមួយរបស់ពិភពលោក",
"main_title": "OpenAI គ្រោងជួយប្រទេសអេមីរ៉ាត់អារ៉ាប់រួមអភិវឌ្ឍមជ្ឈមណ្ឌលទិន្នន័យដ៏ធំបំផុតមួយរបស់ពិភពលោក",
"previous_title": null,
"level": 2,
"author": null,
"snippet": "(បរទេស)៖ សារព័ត៌មាន Bloomberg បានរាយការណ៍នៅថ្ងៃសុក្រសប្តាហ៍នេះថា ក្រុមហ៊ុនបច្ចេកវិទ្យាយក្ស OpenAI គ្រោងនឹងជួយអភិវឌ្ឍមជ្ឈមណ្ឌលទិន្នន័យដ៏ធំមួយនៅទីក្រុង Abu Dhabi ប្រទេសអារ៉ាប់រួម ដែលអាចក្លាយជាមជ្ឈមណ្ឌលធំបំផុតមួយក្នុងពិភពលោក។ នេះបើយោងតាមការចេញផ្សាយដោយទីភ្នាក់ងារសារព័ត៌មាន Reuters នៅថ្ងៃទី១៧ ខែឧសភា ឆ្នាំ២០២៥។\nគម្រោងនេះត្រូវបានគេរំពឹងថានឹងមានសមត្ថភាព ៥ ជីហ្គាវ៉ាត់ ដែលធ្វើឱ្យវាក្លាយជាការពង្រីកដ៏សំខាន់នៃមហិច្ឆតាហេដ្ឋារចនាសម្ព័ន្ធ AI សកលរបស់ OpenAI។ របាយការណ៍ពី Bloomberg ដដែលបានឱ្យដឹងទៀតថា ការចូលរួមរបស់ក្រុមហ៊ុន OpenAI នៅមិនទាន់ត្រូវបានបញ្ចប់នៅឡើយនោះទេ ប៉ុន្តែការប្រកាសជាផ្លូវការអាចនឹងមកដល់ក្នុងពេលដ៏ខ្លីខាងមុខនេះ។ យ៉ាងណាមិញ ជុំវិញព័ត៌មានលម្អិតអំពីរបាយការណ៍នេះ OpenAI មិនទាន់មានការឆ្លើយតបលើសំណើរសុំការអត្ថាធិប្បាយនៅឡើយនោះទេ។\nគួរជម្រាបថា ប្រទេសអេមីរ៉ាត់អារ៉ាប់រួម (UAE) និងសហរដ្ឋអាមេរិកនៅថ្ងៃព្រហស្បតិ៍សប្តាហ៍នេះ បានចុះហត្ថលេខាលើកិច្ចព្រមព្រៀងដ៏សំខាន់មួយសម្រាប់ UAE ដើម្បីសាងសង់បរិវេណសាលាបញ្ញាសិប្បនិម្មិត (AI) ដ៏ធំបំផុតនៅខាងក្រៅសហរដ្ឋអាមេរិក ដែលមានទីតាំងនៅ Abu Dhabi។ រោងចក្រនេះ ត្រូវបានគេបង្ហើបឱ្យដឹងថានឹងគ្របដណ្តប់លើផ្ទៃដីប្រហែល ១០ ម៉ាយការ៉េ ហើយនឹងប្រើប្រាស់ថាមពលស្មើនឹងម៉ាស៊ីនរ៉េអាក់ទ័រនុយក្លេអ៊ែរចំនួន ៥ ដោយកាត់បន្ថយហេដ្ឋារចនាសម្ព័ន្ធ AI ដែលមានស្រាប់ដោយ OpenAI ឬដៃគូប្រកួតប្រជែងរបស់វា៕",
"snippet_length": 1209,
"social_metrics": null,
"highlighted_text": null,
"language": "en",
"sentiment_connotations": {
"anger": 0.14812691509723663,
"happiness": 0.18087238073349,
"love": 0.17585210502147677,
"sadness": 0.15571703016757965,
"share": 0.18157997727394104,
"fun": 0.15791159868240356
},
"connotation_types": {
"positive": 0.3091999888420105,
"negative": 0.5366879105567932,
"neutral": 0.15414205193519592
},
"text_category": [
10108,
10017
],
"date_published": "2025-05-17 08:46:45 +00:00",
"content_quality_score": 70,
"semantic_location": "main",
"rating": null,
"group_date": "2025-05-17 08:46:45 +00:00"
}
}
}
],
"total": 17239034,
"next_cursor": "eyJDdXJyZW50T2Zmc2V0IjoxMDAsIlJhd1JlcXVlc3QiOnsia2V5d29yZCI6Im9wZW5haSIsInNlYXJjaF9tb2RlIjoiYXNfaXMiLCJsaW1pdCI6MTAwLCJyYW5rX3NjYWxlIjoib25lX3Rob3VzYW5kIiwiYWlkIjo4NzM2OSwidGFza19pZCI6IjEwMDIxMjQzLTg3MzYtMDQ2My0wMDAwLWZhNmZiN2U2ZjdmOCJ9LCJTZWFyY2hBZnRlckRhdGEiOnsiVmVyc2lvbiI6MSwiU2VhcmNoQWZ0ZXJWYWx1ZXMiOnsiX3Njb3JlIjozNDk1MzcuNiwidXJsX2hhc2giOiItNzQyNTQ2NzU4NjMwMTc5MjkwNyJ9LCJUb2tlblJlYWxPZmZzZXQiOjB9fQ==",
"dropped": 0
},
"credits_used": 20,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 100
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T12:44:01.942Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
API Details
How does the Content Analysis Search 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
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 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()[ .JSON ]
{
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}FAQ
Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I get web mentions of a brand with an API?
Send a GET request to /v1/content_analysis/search with the keyword parameter set to your brand or term. You receive a paginated feed of web pages citing it, each with URL, domain, country, language, title, snippet, 6-axis sentiment, and a positive/negative/neutral connotation split.
What fields does each search result include?
Each item has url, domain and main_domain, country, language, domain_rank, page_types, title, snippet, a 6-axis sentiment object (anger, happiness, love, sadness, share, fun), a connotation split, rating, text_category, and date_published, all in one unified JSON shape.
How does pagination work on the search endpoint?
Search is cursor-paginated. Pass cursor and read next_cursor from the response to fetch the next page; next_cursor is omitted, not null, when there are no more pages. The total field is the global match count, not the page size, so it can run into the millions.
Can I filter mentions by page type?
Yes. Use page_type with a CSV of ecommerce, news, blogs, message-boards, or organization to narrow the feed to those source kinds. You can also pass search_mode, limit, order_by, and an advanced filters expression to scope results further.
How much does the brand mention search cost?
Each search request costs 20 credits on the advanced tier, regardless of how many mentions return on the page. New accounts get 100 free credits with no credit card required, so you can test keywords and filters before you pay anything.
Ask AI about SocialCrawl
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