X/Twitter API: Search — Posts by query

What this endpoint does

What you can build with this API method

Review the result and common workflows first, then move to parameters and a working request example.

What this endpoint helps with

The response includes matching Search, public context, and pagination data when more results are available.

When to use it

Use “Posts by query” when an exact object ID is not known and relevant candidates must be found first.

Common use cases

In-product search

Add X/Twitter data search to customer-facing and internal interfaces.

Catalog building

Find candidates by query and save relevant objects for later enrichment.

Market research

Collect result sets for topic, creator, and competitive analysis.

Available versions

Response version

Both versions solve the same job and accept the same parameters. Use the switch to compare the response structure and choose the version your client expects.

Response version V2

Switch versions on this page to compare response structures while keeping the same documentation URL.

What stays the same

Authentication, required parameters, and the request shape stay the same across V1 and V2. In practice, you choose the version when you build the endpoint path and when you parse the response.

What changes between versions

The main difference is the response envelope. Use V2 for new integrations and keep V1 only when you need compatibility with an existing client contract.

How to use it

How to call the method

Use the same API key header and the same query parameters for both versions. This documentation shows the shared parameter set first, then version-specific endpoint paths and code snippets.

Input parameters

Shared parameters

Parameter	Required	Type	Example	Description
`query`	Yes	`str`	`technology`	User-entered search query.
`all_of_these_words`	No	`str \| None`	`AI robotics`	Optional words that must all appear in matching Twitter/X posts. Example: AI robotics.
`any_of_these_words`	No	`str \| None`	`launch release`	Optional words where any one may appear in matching Twitter/X posts. Example: launch release.
`cursor`	No	`str \| None`	`DAABCgABF4ABCD...`	Next-page cursor returned by the previous response. Omit it for the first page.
`exact_phrase`	No	`str \| None`	`machine learning`	Optional exact phrase that must appear in matching Twitter/X posts. Example: machine learning.
`from_accounts`	No	`str \| None`	`technews xai`	Optional source accounts without or with @, separated by spaces or commas. Example: technews xai.
`hashtags`	No	`str \| None`	`#TechNews #AI`	Optional hashtags to require, separated by spaces or commas. Example: #TechNews #AI.
`language`	No	`str \| None`	`en`	Optional Twitter/X language code. Use 'any' to omit language filtering. Example: en.
`link_filter`	No	`include \| only \| exclude \| None`	`only`	Optional link filter: include all posts, only posts with links, or exclude links. Example: only.
`mentioning_accounts`	No	`str \| None`	`technews elonmusk`	Optional mentioned accounts without or with @, separated by spaces or commas. Example: technews elonmusk.
`min_likes`	No	`int \| None`	`100`	Optional minimum like count. Example: 100.
`min_replies`	No	`int \| None`	`10`	Optional minimum reply count. Example: 10.
`min_retweets`	No	`int \| None`	`25`	Optional minimum repost/retweet count. Example: 25.
`none_of_these_words`	No	`str \| None`	`rumor leak`	Optional words to exclude from matching Twitter/X posts. Example: rumor leak.
`reply_filter`	No	`include \| only \| exclude \| None`	`exclude`	Optional reply filter: include all posts, only replies, or exclude replies. Example: exclude.
`since_date`	No	`date \| None`	`2026-01-01`	Optional earliest post date in ISO YYYY-MM-DD format. Example: 2026-01-01.
`tag`	No	`Top \| Latest \| People \| Photos \| Videos \| None`	`Latest`	Optional Twitter/X search product filter. Example: Latest.
`to_accounts`	No	`str \| None`	`technews`	Optional reply target accounts without or with @, separated by spaces or commas. Example: technews.
`until_date`	No	`date \| None`	`2026-01-31`	Optional latest post date in ISO YYYY-MM-DD format. Example: 2026-01-31.

Version-specific request path

V2

Choose a version when you copy the exact endpoint path, example URL, and code snippet. The parameter list above stays the same.

GET /api/v2/twitter.com/search/tweets-by-query

Normalized format

Request preview

Base URL https://www.scrapestorm.net

Endpoint /api/v2/twitter.com/search/tweets-by-query

Required parameters

query

Optional parameters

all_of_these_words any_of_these_words cursor exact_phrase from_accounts hashtags language link_filter mentioning_accounts min_likes min_replies min_retweets none_of_these_words reply_filter since_date tag to_accounts until_date

Example URL

https://www.scrapestorm.net/api/v2/twitter.com/search/tweets-by-query?query=technology

Code examples

curl --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)
}

Version-specific request path

V1

Choose a version when you copy the exact endpoint path, example URL, and code snippet. The parameter list above stays the same.

GET /api/v1/twitter.com/search/tweets-by-query

Platform-native format

Request preview

Base URL https://www.scrapestorm.net

Endpoint /api/v1/twitter.com/search/tweets-by-query

Required parameters

query

Optional parameters

all_of_these_words any_of_these_words cursor exact_phrase from_accounts hashtags language link_filter mentioning_accounts min_likes min_replies min_retweets none_of_these_words reply_filter since_date tag to_accounts until_date

Example URL

https://www.scrapestorm.net/api/v1/twitter.com/search/tweets-by-query?query=technology

Code examples

curl --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)
}

Response example

Live response by version

The preview keeps key fields and the first collection items so you can scan the response shape quickly. Switching versions changes the JSON format.

Response example

V2 response JSON

Verified example

This compact JSON example comes from the latest successful verification run for 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/clcoding/status/1698437458546028664",
          "tweet_id": "1698437458546028664",
          "text": "What is the output of the following Python code? #coding #python #pythonquiz https://t.co/NbrvId3g4W",
          "hashtags": [
            "coding",
            "python",
            {
              "_more_items": 1
            }
          ],
          "emails": [],
          "created_at": "2023-09-03T20:47:00Z",
          "language": "en",
          "source": null,
          "author": {
            "url": "https://x.com/clcoding",
            "user_id": "1322566336367636482",
            "username": "clcoding",
            "display_name": "Python Coding",
            "description": "Lets Learn #Python with tips and tricks. Free Python Course: https://t.co/l9NKxZWrh7 biz : [email protected] AI Community Partner. DM for Everything.",
            "emails": [
              "[email protected]"
            ],
            "external_links": [
              "…"
            ],
            "location": "Earth🌎",
            "created_at": "2020-10-31T15:49:39Z",
            "is_verified": false,
            "is_blue_verified": true,
            "is_protected": false,
            "possibly_sensitive": false,
            "default_profile": true,
            "default_profile_image": false,
            "followers_count": 654700,
            "following_count": 155,
            "tweet_count": 17608,
            "media_count": 12272,
            "listed_count": 3166,
            "like_count": 1068,
            "professional_type": "Creator",
            "professional_category_name": [
              "Education"
            ],
            "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": 209,
          "retweet_count": 108,
          "quote_count": 7,
          "like_count": 1035,
          "bookmark_count": 91,
          "_more_fields": "2 more fields"
        },
        {
          "url": "https://x.com/PythonPr/status/2109611213974028338",
          "tweet_id": "2109611213974028338",
          "text": "VS Code isn't disappearing, it's just evolving. https://t.co/ffQkOQEjfJ",
          "hashtags": [],
          "emails": [],
          "created_at": "2026-10-12T11:44:42Z",
          "language": "en",
          "source": null,
          "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": 221500,
            "following_count": 1161,
            "tweet_count": 10712,
            "media_count": 4805,
            "listed_count": 1268,
            "like_count": 23751,
            "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": 13,
          "retweet_count": 22,
          "quote_count": 3,
          "like_count": 282,
          "bookmark_count": 60,
          "_more_fields": "2 more fields"
        },
        {
          "_more_items": 18
        }
      ]
    }
  }
}

Response example

V1 response JSON

Verified example

This compact JSON example comes from the latest successful verification run for 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": "…"
            }
          }
        }
      }
    }
  }
}

Related methods

Continue working with Search

Adjacent methods let you resolve the same object with another identifier, open details, or move to an aggregate view.

What to do next

Continue the evaluation

Use this documentation as the first decision point, then move into pricing, platform coverage, and integration rules before you connect the endpoint for recurring use.

Open the X/Twitter platform page

Compare adjacent entities, API method groups, and related docs before implementation.

Open platform page

Compare API method pricing

Check where this API method sits inside the public price table before you scale usage.

View pricing

Review integration rules

Use the starter docs to confirm authentication, versioning, retries, and mock vs live behavior.

Open docs

FAQ

Questions teams ask before implementation

Use these answers to decide whether this API method fits your workflow, versioning choice, and rollout plan.

What data does this X/Twitter API method return?

The method performs “Posts by query” for Search. The compact response example below shows the exact field structure.

Should I choose V1 or V2?

Choose V2 for new integrations because it provides a normalized structure. Use V1 only for compatibility with clients that already consume the platform-native format.

What do I need for the first request?

Create an API key, send it in the request header, and provide the required parameters from the table. The code samples already contain the correct path and request structure.

X/Twitter API: Search — Posts by query

What you can build with this API method

What this endpoint helps with

When to use it

Common use cases

In-product search

Catalog building

Market research

Response version

What stays the same

What changes between versions

How to call the method

Input parameters

Version-specific request path

Code examples

Version-specific request path

Code examples

Live response by version

V2 response JSON

V1 response JSON

Continue working with Search

Search: Place by location name

Search: Trending by place ID

Continue the evaluation

Open the X/Twitter platform page

Compare API method pricing

Review integration rules

Questions teams ask before implementation