Finden Sie Suche-Daten auf X/Twitter anhand einer Nutzeranfrage und binden Sie die Ergebnisse an Such-, Katalog- oder Rechercheoberflächen an.
Nutzen Sie „Beiträge nach Suchanfrage“, wenn Sie die genaue Objekt-ID nicht kennen und zuerst relevante Kandidaten finden müssen.
Prüfen Sie zuerst das Ergebnis und die typischen Abläufe und gehen Sie dann zu den Parametern und einem funktionierenden Anfragebeispiel über.
Die Antwort enthält passende Suche, öffentlichen Kontext und Paginierungsdaten, wenn weitere Ergebnisse vorhanden sind.
Nutzen Sie „Beiträge nach Suchanfrage“, wenn Sie die genaue Objekt-ID nicht kennen und zuerst relevante Kandidaten finden müssen.
Ergänzen Sie Kunden- und interne Oberflächen um die Suche in X/Twitter-Daten.
Finden Sie Kandidaten per Anfrage und speichern Sie relevante Objekte für die spätere Anreicherung.
Sammeln Sie Ergebnissätze für Analysen von Themen, Creatorn und Wettbewerb.
Beide Versionen lösen dieselbe Aufgabe und akzeptieren dieselben Parameter. Vergleichen Sie mit dem Umschalter die Antwortstruktur und wählen Sie die Version, die Ihr Client erwartet.
Wechseln Sie auf dieser Seite die Version, um die Antwortstrukturen unter derselben Dokumentations-URL zu vergleichen.
Authentifizierung, Pflichtparameter und Anfrageform sind in V1 und V2 identisch. In der Praxis wählen Sie die Version beim Aufbau des Endpunktpfads und bei der Auswertung der Antwort.
Der Hauptunterschied liegt in der Antwort-Hülle. Verwenden Sie V2 für neue Integrationen und behalten Sie V1 nur, wenn Sie Kompatibilität mit einem bestehenden Client-Vertrag benötigen.
Verwenden Sie in beiden Versionen denselben API-Schlüssel-Header und dieselben Query-Parameter. Diese Dokumentation zeigt zuerst den gemeinsamen Parametersatz und danach die Pfade und Codeausschnitte jeder Version.
| Parameter | Pflicht | Typ | Beispiel | Beschreibung |
|---|---|---|---|---|
query |
Ja | str |
technology |
Vom Nutzer eingegebene Suchanfrage. |
all_of_these_words |
Nein | str | None |
AI robotics |
Optional words that must all appear in matching Twitter/X posts. Example: AI robotics. |
any_of_these_words |
Nein | str | None |
launch release |
Optional words where any one may appear in matching Twitter/X posts. Example: launch release. |
cursor |
Nein | str | None |
DAABCgABF4ABCD... |
Cursor der nächsten Seite aus der vorherigen Antwort. Für die erste Seite weglassen. |
exact_phrase |
Nein | str | None |
machine learning |
Optional exact phrase that must appear in matching Twitter/X posts. Example: machine learning. |
from_accounts |
Nein | str | None |
technews xai |
Optional source accounts without or with @, separated by spaces or commas. Example: technews xai. |
hashtags |
Nein | str | None |
#TechNews #AI |
Optional hashtags to require, separated by spaces or commas. Example: #TechNews #AI. |
language |
Nein | str | None |
en |
Optional Twitter/X language code. Use 'any' to omit language filtering. Example: en. |
link_filter |
Nein | include | only | exclude | None |
only |
Optional link filter: include all posts, only posts with links, or exclude links. Example: only. |
mentioning_accounts |
Nein | str | None |
technews elonmusk |
Optional mentioned accounts without or with @, separated by spaces or commas. Example: technews elonmusk. |
min_likes |
Nein | int | None |
100 |
Optional minimum like count. Example: 100. |
min_replies |
Nein | int | None |
10 |
Optional minimum reply count. Example: 10. |
min_retweets |
Nein | int | None |
25 |
Optional minimum repost/retweet count. Example: 25. |
none_of_these_words |
Nein | str | None |
rumor leak |
Optional words to exclude from matching Twitter/X posts. Example: rumor leak. |
reply_filter |
Nein | include | only | exclude | None |
exclude |
Optional reply filter: include all posts, only replies, or exclude replies. Example: exclude. |
since_date |
Nein | date | None |
2026-01-01 |
Optional earliest post date in ISO YYYY-MM-DD format. Example: 2026-01-01. |
tag |
Nein | Top | Latest | People | Photos | Videos | None |
Latest |
Optional Twitter/X search product filter. Example: Latest. |
to_accounts |
Nein | str | None |
technews |
Optional reply target accounts without or with @, separated by spaces or commas. Example: technews. |
until_date |
Nein | date | None |
2026-01-31 |
Optional latest post date in ISO YYYY-MM-DD format. Example: 2026-01-31. |
Wählen Sie eine Version, wenn Sie den genauen Endpunktpfad, die Beispiel-URL und den Codeausschnitt kopieren. Die Parameterliste oben ändert sich nicht.
GET /api/v2/twitter.com/search/tweets-by-querycurl --request GET \
--url "https://www.scrapestorm.net/api/v2/twitter.com/search/tweets-by-query" \
--header "X-API-Key: 00000000-0000-4000-8000-000000000000" \
--get --data-urlencode 'query=technology' \
# Optional parameters:
# --data-urlencode 'all_of_these_words=AI robotics'
# --data-urlencode 'any_of_these_words=launch release'
# --data-urlencode 'cursor=DAABCgABF4ABCD...'
# --data-urlencode 'exact_phrase=machine learning'
# --data-urlencode 'from_accounts=technews xai'
# --data-urlencode 'hashtags=#TechNews #AI'
# --data-urlencode 'language=en'
# --data-urlencode 'link_filter=only'
# --data-urlencode 'mentioning_accounts=technews elonmusk'
# --data-urlencode 'min_likes=100'
# --data-urlencode 'min_replies=10'
# --data-urlencode 'min_retweets=25'
# --data-urlencode 'none_of_these_words=rumor leak'
# --data-urlencode 'reply_filter=exclude'
# --data-urlencode 'since_date=2026-01-01'
# --data-urlencode 'tag=Latest'
# --data-urlencode 'to_accounts=technews'
# --data-urlencode 'until_date=2026-01-31'from urllib.parse import urljoin
import requests
BASE_URL = "https://www.scrapestorm.net"
ENDPOINT = "/api/v2/twitter.com/search/tweets-by-query"
HEADERS = {"Accept": "application/json", "X-API-Key": "00000000-0000-4000-8000-000000000000"}
params = {
"query": "technology",
}
# Optional parameters
# params["all_of_these_words"] = "AI robotics"
# params["any_of_these_words"] = "launch release"
# params["cursor"] = "DAABCgABF4ABCD..."
# params["exact_phrase"] = "machine learning"
# params["from_accounts"] = "technews xai"
# params["hashtags"] = "#TechNews #AI"
# params["language"] = "en"
# params["link_filter"] = "only"
# params["mentioning_accounts"] = "technews elonmusk"
# params["min_likes"] = "100"
# params["min_replies"] = "10"
# params["min_retweets"] = "25"
# params["none_of_these_words"] = "rumor leak"
# params["reply_filter"] = "exclude"
# params["since_date"] = "2026-01-01"
# params["tag"] = "Latest"
# params["to_accounts"] = "technews"
# params["until_date"] = "2026-01-31"
with requests.Session() as session:
response = session.request(
method="GET",
url=urljoin(BASE_URL, ENDPOINT),
headers=HEADERS,
params=params,
timeout=30,
)
response.raise_for_status()
payload = response.json()
print(payload)const BASE_URL = "https://www.scrapestorm.net";
const endpoint = "/api/v2/twitter.com/search/tweets-by-query";
const params = new URLSearchParams({
query: "technology",
});
// Optional parameters
// params.set("all_of_these_words", "AI robotics");
// params.set("any_of_these_words", "launch release");
// params.set("cursor", "DAABCgABF4ABCD...");
// params.set("exact_phrase", "machine learning");
// params.set("from_accounts", "technews xai");
// params.set("hashtags", "#TechNews #AI");
// params.set("language", "en");
// params.set("link_filter", "only");
// params.set("mentioning_accounts", "technews elonmusk");
// params.set("min_likes", "100");
// params.set("min_replies", "10");
// params.set("min_retweets", "25");
// params.set("none_of_these_words", "rumor leak");
// params.set("reply_filter", "exclude");
// params.set("since_date", "2026-01-01");
// params.set("tag", "Latest");
// params.set("to_accounts", "technews");
// params.set("until_date", "2026-01-31");
const response = await fetch(`${BASE_URL}${endpoint}?${params.toString()}`, {
method: "GET",
headers: {
Accept: "application/json",
"X-API-Key": "00000000-0000-4000-8000-000000000000",
},
});
if (!response.ok) {
throw new Error(`Request failed: ${response.status} ${response.statusText}`);
}
const payload = await response.json();
console.log(payload);import axios from "axios";
const client = axios.create({
baseURL: "https://www.scrapestorm.net",
timeout: 30000,
headers: {
Accept: "application/json",
"X-API-Key": "00000000-0000-4000-8000-000000000000",
},
});
const params = {
query: "technology",
};
// Optional parameters
// params.all_of_these_words = "AI robotics";
// params.any_of_these_words = "launch release";
// params.cursor = "DAABCgABF4ABCD...";
// params.exact_phrase = "machine learning";
// params.from_accounts = "technews xai";
// params.hashtags = "#TechNews #AI";
// params.language = "en";
// params.link_filter = "only";
// params.mentioning_accounts = "technews elonmusk";
// params.min_likes = "100";
// params.min_replies = "10";
// params.min_retweets = "25";
// params.none_of_these_words = "rumor leak";
// params.reply_filter = "exclude";
// params.since_date = "2026-01-01";
// params.tag = "Latest";
// params.to_accounts = "technews";
// params.until_date = "2026-01-31";
const { data: payload } = await client.request({
method: "GET",
url: endpoint,
params,
});
console.log(payload);<?php
declare(strict_types=1);
use GuzzleHttp\Client;
use GuzzleHttp\Exception\GuzzleException;
$client = new Client([
'base_uri' => "https://www.scrapestorm.net",
'timeout' => 30.0,
'headers' => [
'Accept' => 'application/json',
'X-API-Key' => "00000000-0000-4000-8000-000000000000",
],
]);
$query = [
"query" => "technology",
];
// Optional parameters
// $query["all_of_these_words"] = "AI robotics";
// $query["any_of_these_words"] = "launch release";
// $query["cursor"] = "DAABCgABF4ABCD...";
// $query["exact_phrase"] = "machine learning";
// $query["from_accounts"] = "technews xai";
// $query["hashtags"] = "#TechNews #AI";
// $query["language"] = "en";
// $query["link_filter"] = "only";
// $query["mentioning_accounts"] = "technews elonmusk";
// $query["min_likes"] = "100";
// $query["min_replies"] = "10";
// $query["min_retweets"] = "25";
// $query["none_of_these_words"] = "rumor leak";
// $query["reply_filter"] = "exclude";
// $query["since_date"] = "2026-01-01";
// $query["tag"] = "Latest";
// $query["to_accounts"] = "technews";
// $query["until_date"] = "2026-01-31";
try {
$response = $client->request("GET", "/api/v2/twitter.com/search/tweets-by-query", [
'query' => $query,
]);
$payload = json_decode(
(string) $response->getBody(),
true,
512,
JSON_THROW_ON_ERROR
);
var_dump($payload);
} catch (GuzzleException $e) {
throw $e;
}package main
import (
"encoding/json"
"fmt"
"net/http"
"net/url"
"time"
)
func main() {
baseURL := "https://www.scrapestorm.net"
endpoint := "/api/v2/twitter.com/search/tweets-by-query"
params := url.Values{}
params.Set("query", "technology")
// Optional parameters
// params.Set("until_date", "2026-01-31")
req, err := http.NewRequest(
"GET",
fmt.Sprintf("%s%s?%s", baseURL, endpoint, params.Encode()),
nil,
)
if err != nil {
panic(err)
}
req.Header.Set("Accept", "application/json")
req.Header.Set("X-API-Key", "00000000-0000-4000-8000-000000000000")
client := &http.Client{Timeout: 30 * time.Second}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
var payload any
if err := json.NewDecoder(resp.Body).Decode(&payload); err != nil {
panic(err)
}
fmt.Printf("%+v\n", payload)
}Wählen Sie eine Version, wenn Sie den genauen Endpunktpfad, die Beispiel-URL und den Codeausschnitt kopieren. Die Parameterliste oben ändert sich nicht.
GET /api/v1/twitter.com/search/tweets-by-querycurl --request GET \
--url "https://www.scrapestorm.net/api/v1/twitter.com/search/tweets-by-query" \
--header "X-API-Key: 00000000-0000-4000-8000-000000000000" \
--get --data-urlencode 'query=technology' \
# Optional parameters:
# --data-urlencode 'all_of_these_words=AI robotics'
# --data-urlencode 'any_of_these_words=launch release'
# --data-urlencode 'cursor=DAABCgABF4ABCD...'
# --data-urlencode 'exact_phrase=machine learning'
# --data-urlencode 'from_accounts=technews xai'
# --data-urlencode 'hashtags=#TechNews #AI'
# --data-urlencode 'language=en'
# --data-urlencode 'link_filter=only'
# --data-urlencode 'mentioning_accounts=technews elonmusk'
# --data-urlencode 'min_likes=100'
# --data-urlencode 'min_replies=10'
# --data-urlencode 'min_retweets=25'
# --data-urlencode 'none_of_these_words=rumor leak'
# --data-urlencode 'reply_filter=exclude'
# --data-urlencode 'since_date=2026-01-01'
# --data-urlencode 'tag=Latest'
# --data-urlencode 'to_accounts=technews'
# --data-urlencode 'until_date=2026-01-31'from urllib.parse import urljoin
import requests
BASE_URL = "https://www.scrapestorm.net"
ENDPOINT = "/api/v1/twitter.com/search/tweets-by-query"
HEADERS = {"Accept": "application/json", "X-API-Key": "00000000-0000-4000-8000-000000000000"}
params = {
"query": "technology",
}
# Optional parameters
# params["all_of_these_words"] = "AI robotics"
# params["any_of_these_words"] = "launch release"
# params["cursor"] = "DAABCgABF4ABCD..."
# params["exact_phrase"] = "machine learning"
# params["from_accounts"] = "technews xai"
# params["hashtags"] = "#TechNews #AI"
# params["language"] = "en"
# params["link_filter"] = "only"
# params["mentioning_accounts"] = "technews elonmusk"
# params["min_likes"] = "100"
# params["min_replies"] = "10"
# params["min_retweets"] = "25"
# params["none_of_these_words"] = "rumor leak"
# params["reply_filter"] = "exclude"
# params["since_date"] = "2026-01-01"
# params["tag"] = "Latest"
# params["to_accounts"] = "technews"
# params["until_date"] = "2026-01-31"
with requests.Session() as session:
response = session.request(
method="GET",
url=urljoin(BASE_URL, ENDPOINT),
headers=HEADERS,
params=params,
timeout=30,
)
response.raise_for_status()
payload = response.json()
print(payload)const BASE_URL = "https://www.scrapestorm.net";
const endpoint = "/api/v1/twitter.com/search/tweets-by-query";
const params = new URLSearchParams({
query: "technology",
});
// Optional parameters
// params.set("all_of_these_words", "AI robotics");
// params.set("any_of_these_words", "launch release");
// params.set("cursor", "DAABCgABF4ABCD...");
// params.set("exact_phrase", "machine learning");
// params.set("from_accounts", "technews xai");
// params.set("hashtags", "#TechNews #AI");
// params.set("language", "en");
// params.set("link_filter", "only");
// params.set("mentioning_accounts", "technews elonmusk");
// params.set("min_likes", "100");
// params.set("min_replies", "10");
// params.set("min_retweets", "25");
// params.set("none_of_these_words", "rumor leak");
// params.set("reply_filter", "exclude");
// params.set("since_date", "2026-01-01");
// params.set("tag", "Latest");
// params.set("to_accounts", "technews");
// params.set("until_date", "2026-01-31");
const response = await fetch(`${BASE_URL}${endpoint}?${params.toString()}`, {
method: "GET",
headers: {
Accept: "application/json",
"X-API-Key": "00000000-0000-4000-8000-000000000000",
},
});
if (!response.ok) {
throw new Error(`Request failed: ${response.status} ${response.statusText}`);
}
const payload = await response.json();
console.log(payload);import axios from "axios";
const client = axios.create({
baseURL: "https://www.scrapestorm.net",
timeout: 30000,
headers: {
Accept: "application/json",
"X-API-Key": "00000000-0000-4000-8000-000000000000",
},
});
const params = {
query: "technology",
};
// Optional parameters
// params.all_of_these_words = "AI robotics";
// params.any_of_these_words = "launch release";
// params.cursor = "DAABCgABF4ABCD...";
// params.exact_phrase = "machine learning";
// params.from_accounts = "technews xai";
// params.hashtags = "#TechNews #AI";
// params.language = "en";
// params.link_filter = "only";
// params.mentioning_accounts = "technews elonmusk";
// params.min_likes = "100";
// params.min_replies = "10";
// params.min_retweets = "25";
// params.none_of_these_words = "rumor leak";
// params.reply_filter = "exclude";
// params.since_date = "2026-01-01";
// params.tag = "Latest";
// params.to_accounts = "technews";
// params.until_date = "2026-01-31";
const { data: payload } = await client.request({
method: "GET",
url: endpoint,
params,
});
console.log(payload);<?php
declare(strict_types=1);
use GuzzleHttp\Client;
use GuzzleHttp\Exception\GuzzleException;
$client = new Client([
'base_uri' => "https://www.scrapestorm.net",
'timeout' => 30.0,
'headers' => [
'Accept' => 'application/json',
'X-API-Key' => "00000000-0000-4000-8000-000000000000",
],
]);
$query = [
"query" => "technology",
];
// Optional parameters
// $query["all_of_these_words"] = "AI robotics";
// $query["any_of_these_words"] = "launch release";
// $query["cursor"] = "DAABCgABF4ABCD...";
// $query["exact_phrase"] = "machine learning";
// $query["from_accounts"] = "technews xai";
// $query["hashtags"] = "#TechNews #AI";
// $query["language"] = "en";
// $query["link_filter"] = "only";
// $query["mentioning_accounts"] = "technews elonmusk";
// $query["min_likes"] = "100";
// $query["min_replies"] = "10";
// $query["min_retweets"] = "25";
// $query["none_of_these_words"] = "rumor leak";
// $query["reply_filter"] = "exclude";
// $query["since_date"] = "2026-01-01";
// $query["tag"] = "Latest";
// $query["to_accounts"] = "technews";
// $query["until_date"] = "2026-01-31";
try {
$response = $client->request("GET", "/api/v1/twitter.com/search/tweets-by-query", [
'query' => $query,
]);
$payload = json_decode(
(string) $response->getBody(),
true,
512,
JSON_THROW_ON_ERROR
);
var_dump($payload);
} catch (GuzzleException $e) {
throw $e;
}package main
import (
"encoding/json"
"fmt"
"net/http"
"net/url"
"time"
)
func main() {
baseURL := "https://www.scrapestorm.net"
endpoint := "/api/v1/twitter.com/search/tweets-by-query"
params := url.Values{}
params.Set("query", "technology")
// Optional parameters
// params.Set("until_date", "2026-01-31")
req, err := http.NewRequest(
"GET",
fmt.Sprintf("%s%s?%s", baseURL, endpoint, params.Encode()),
nil,
)
if err != nil {
panic(err)
}
req.Header.Set("Accept", "application/json")
req.Header.Set("X-API-Key", "00000000-0000-4000-8000-000000000000")
client := &http.Client{Timeout: 30 * time.Second}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
var payload any
if err := json.NewDecoder(resp.Body).Decode(&payload); err != nil {
panic(err)
}
fmt.Printf("%+v\n", payload)
}Die Vorschau enthält die wichtigsten Felder und die ersten Elemente der Sammlung, damit Sie die Form der Antwort schnell prüfen können. Beim Wechsel der Version ändert sich das JSON-Format.
Dieses kompakte JSON-Beispiel stammt aus dem letzten erfolgreichen Verifizierungslauf von V2.
{
"success": true,
"status": "ok",
"pagination": {
"cursor": "QVFB...",
"has_more": true
},
"search_context": {
"query": "Python code",
"tag": "Top"
},
"data": {
"tweets": {
"count": 20,
"items": [
{
"url": "https://x.com/freeCodeCamp/status/2078389573567050090",
"tweet_id": "2078389573567050090",
"text": "Learning to code can feel overwhelming when you don't know where to start.\n\nSo here's a course for you: Sunny teaches you Python from the ground up.\n\nYou'll install Python, writ…",
"hashtags": [],
"emails": [],
"created_at": "2026-07-18T08:01:03Z",
"language": "en",
"source": "Buffer",
"author": {
"url": "https://x.com/freeCodeCamp",
"user_id": "1668100142",
"username": "freeCodeCamp",
"display_name": "freeCodeCamp.org",
"description": "We're a community of millions of people who are building new skills and getting new jobs together. A 501(c)(3) public charity. Tweets by @abbeyrenn.",
"emails": [],
"external_links": [],
"location": "Just here on Earth... for now",
"created_at": "2013-08-13T15:27:51Z",
"is_verified": false,
"is_blue_verified": true,
"is_protected": false,
"possibly_sensitive": false,
"default_profile": false,
"default_profile_image": false,
"followers_count": 1204998,
"following_count": 159,
"tweet_count": 36772,
"media_count": 5153,
"listed_count": 6833,
"like_count": 72305,
"professional_type": null,
"professional_category_name": null,
"affiliated_account": null,
"_more_fields": "5 more fields"
},
"is_from_automated_account": null,
"media": {
"images": [
"…"
],
"videos": [],
"gifs": []
},
"external_links": [],
"user_mentions": [],
"is_reply": false,
"reply": null,
"is_quote": false,
"quote_tweet_id": null,
"is_retweet": false,
"retweeted_tweet_id": null,
"reply_count": 4,
"retweet_count": 108,
"quote_count": 3,
"like_count": 599,
"bookmark_count": 455,
"_more_fields": "2 more fields"
},
{
"url": "https://x.com/PythonPr/status/2078910492068786514",
"tweet_id": "2078910492068786514",
"text": "Pyramids in Python Code Examples for Beginners ⭐ https://t.co/QngwbiMVkb",
"hashtags": [],
"emails": [],
"created_at": "2026-07-19T18:31:00Z",
"language": "en",
"source": "Twitter Web App",
"author": {
"url": "https://x.com/PythonPr",
"user_id": "855384627975831553",
"username": "PythonPr",
"display_name": "Python Programming",
"description": "#python #programming",
"emails": [],
"external_links": [],
"location": "United States",
"created_at": "2017-04-21T11:36:02Z",
"is_verified": false,
"is_blue_verified": true,
"is_protected": false,
"possibly_sensitive": false,
"default_profile": true,
"default_profile_image": false,
"followers_count": 208924,
"following_count": 1162,
"tweet_count": 9883,
"media_count": 4108,
"listed_count": 1243,
"like_count": 20597,
"professional_type": null,
"professional_category_name": null,
"affiliated_account": null,
"_more_fields": "5 more fields"
},
"is_from_automated_account": null,
"media": {
"images": [
"…"
],
"videos": [],
"gifs": []
},
"external_links": [],
"user_mentions": [],
"is_reply": false,
"reply": null,
"is_quote": false,
"quote_tweet_id": null,
"is_retweet": false,
"retweeted_tweet_id": null,
"reply_count": 3,
"retweet_count": 8,
"quote_count": 0,
"like_count": 62,
"bookmark_count": 39,
"_more_fields": "2 more fields"
},
{
"_more_items": 18
}
]
}
}
}Dieses kompakte JSON-Beispiel stammt aus dem letzten erfolgreichen Verifizierungslauf von V1.
{
"success": true,
"status": "ok",
"pagination": {
"cursor": "QVFB...",
"has_more": true
},
"search_context": {
"tag": "Top",
"query": "Python code"
},
"data": {
"data": {
"search_by_raw_query": {
"search_timeline": {
"timeline": {
"instructions": [
"…"
],
"responseObjects": {
"feedbackActions": "…"
}
}
}
}
}
}
}Nutzen Sie diese Dokumentation als ersten Entscheidungspunkt und prüfen Sie dann Preise, Plattformabdeckung und Integrationsregeln, bevor Sie den Endpunkt für die wiederkehrende Nutzung anbinden.
Nutzen Sie diese Antworten, um zu entscheiden, ob diese API-Methode zu Ihrem Ablauf, Ihrer Versionswahl und Ihrem Einführungsplan passt.
Die Methode führt „Beiträge nach Suchanfrage“ für Suche aus. Das kompakte Antwortbeispiel unten zeigt die genaue Struktur der Felder.
Wählen Sie V2 für neue Integrationen, da sie eine normalisierte Struktur bietet. Verwenden Sie V1 nur zur Kompatibilität mit Clients, die bereits das native Format der Plattform verarbeiten.
Erstellen Sie einen API-Schlüssel, senden Sie ihn im Header der Anfrage und geben Sie die Pflichtparameter aus der Tabelle an. Die Codebeispiele enthalten bereits den korrekten Pfad und die richtige Anfragestruktur.