How to Search Tweets Inside an X Community via API

Quick Answer

The TwexAPI Community Tweet Search endpoint (/twitter/search/community) retrieves posts from X Communities by community ID or slug for niche audience research. Authenticate with a Bearer Token on api.twexapi.io. Typical reads use about 10 Credits (~$0.10 per 1,000 under the published conversion), and qualifying paid plans publish 20+ QPS. New accounts receive 20,000 starting Credits. Full request and response fields are in this guide and at https://docs.twexapi.io.

FAQ

What does the Community Tweet Search endpoint return?

retrieves posts from X Communities by community ID or slug for niche audience research

Why use TwexAPI instead of the official X API for this workflow?

For Community Tweet Search, TwexAPI provides Bearer-authenticated workflows documented at https://docs.twexapi.io. A typical post or profile read uses 10 Credits (about $0.10 per 1,000 under the published conversion), and qualifying paid plans publish 20+ QPS. New accounts receive 20,000 starting Credits. As of 2026-08-20, official X API Post reads list at $5 per 1,000 resources and User reads at $10 per 1,000; official rate limits vary by endpoint and access level.

How much does this API workflow cost on TwexAPI?

A typical read uses about 10 Credits. Under the published conversion, 1,000 such reads use 10,000 Credits, or about $0.10; a 10,000-read job uses about 100,000 Credits. Actual costs vary by endpoint, so confirm the endpoint price and current plan at https://twexapi.io/pricing.

X Communities often contain narrower, more context-rich discussions than the main timeline. If you already know the community ID and want to find posts about a topic inside that community, use POST https://api.twexapi.io/twitter/community/search-tweets.

This endpoint is useful when a broad X search is too noisy. Instead of collecting every public mention of a keyword, you can search inside one community and review posts from people participating in that specific space.

What This Endpoint Does

Answer: What This Endpoint Does is implemented by calling the TwexAPI endpoint documented in this guide with a Bearer Token; batch or paginated requests reduce overhead to ~10 credits per call at 20+ QPS.

POST /twitter/community/search-tweets searches tweets inside a single X Community.

The request has three required fields:

Use it for focused workflows such as:

• Reviewing how a niche community discusses a product, topic, or release.
• Finding posts to include in a community report or internal digest.
• Tracking recurring questions in your own community.
• Comparing how the same topic appears across several communities.

The endpoint returns social posts. It does not replace moderation policy, customer research, or manual review.

Basic Request

Answer: Basic Request means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 10 Credits (about $0.10 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

curl --request POST \
  --url https://api.twexapi.io/twitter/community/search-tweets \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "community_id": "1234567890123456789",
    "target_count": 50,
    "query": "customer support"
  }'

A successful response includes code, msg, and data. Each item in data is a tweet object. Common fields include tweet_id, text, full_text, created_at, created_at_datetime, favorite_count, retweet_count, reply_count, quote_count, hashtags, cashtags, media, and user information.

1{
2  "code": 200,
3  "msg": "success",
4  "data": [
5    {
6      "tweet_id": "1803006263529541838",
7      "text": "Example community post about customer support",
8      "created_at_datetime": "2024-06-17T03:51:48.000Z",
9      "favorite_count": 18,
10      "retweet_count": 3,
11      "reply_count": 6,
12      "hashtags": ["support"]
13    }
14  ]
15}

Python Client

Answer: Python Client means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 10 Credits (about $0.10 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

Keep the client small. Let the caller decide how to rank, store, and review the returned posts.

1import os
2from typing import Any
3
4import requests
5
6API_URL = "https://api.twexapi.io/twitter/community/search-tweets"
7TOKEN = os.environ["TWEXAPI_BEARER_TOKEN"]
8
9def search_community_tweets(
10    community_id: str,
11    query: str,
12    *,
13    target_count: int = 50,
14) -> list[dict[str, Any]]:
15    payload = {
16        "community_id": community_id,
17        "target_count": target_count,
18        "query": query,
19    }
20
21    response = requests.post(
22        API_URL,
23        headers={
24            "Authorization": f"Bearer {TOKEN}",
25            "Content-Type": "application/json",
26        },
27        json=payload,
28        timeout=30,
29    )
30    response.raise_for_status()
31    return response.json().get("data", [])
32
33if __name__ == "__main__":
34    tweets = search_community_tweets(
35        "1234567890123456789",
36        "customer support",
37        target_count=25,
38    )
39    for tweet in tweets[:5]:
40        text = tweet.get("full_text") or tweet.get("text") or ""
41        print(tweet.get("tweet_id"), text[:140])

Normalize Posts for Review

Answer: Normalize Posts for Review means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 10 Credits (about $0.10 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

Do not start by building a complicated dashboard. First, turn each tweet into a stable row that an analyst or community manager can review.

1def to_review_row(tweet: dict[str, Any]) -> dict[str, Any]:
2    favorite_count = tweet.get("favorite_count") or 0
3    retweet_count = tweet.get("retweet_count") or 0
4    reply_count = tweet.get("reply_count") or 0
5    quote_count = tweet.get("quote_count") or 0
6    engagement = favorite_count + retweet_count + reply_count + quote_count
7
8    return {
9        "tweet_id": tweet.get("tweet_id"),
10        "created_at": tweet.get("created_at_datetime") or tweet.get("created_at"),
11        "engagement": engagement,
12        "hashtags": ", ".join(tweet.get("hashtags") or []),
13        "text": tweet.get("full_text") or tweet.get("text") or "",
14        "url": f"https://x.com/i/status/{tweet.get('tweet_id')}",
15    }
16
17tweets = search_community_tweets(
18    "1234567890123456789",
19    "pricing",
20    target_count=100,
21)
22rows = [to_review_row(tweet) for tweet in tweets]
23rows.sort(key=lambda row: row["engagement"], reverse=True)
24
25for row in rows[:10]:
26    print(row["engagement"], row["url"], row["text"][:100])

Store the raw tweet payload as well as the normalized row. The raw payload lets you revisit fields later without re-running the search.

Multi-Community Comparison

Answer: Multi-Community Comparison means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 10 Credits (about $0.10 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

If you need to compare the same query across several communities, keep the loop explicit. This makes it easier to log failures and avoid mixing results from different audiences.

1communities = {
2    "1234567890123456789": "Product builders",
3    "2345678901234567890": "Support leaders",
4    "3456789012345678901": "AI operators",
5}
6
7query = "onboarding"
8summary = []
9
10for community_id, name in communities.items():
11    tweets = search_community_tweets(community_id, query, target_count=50)
12    rows = [to_review_row(tweet) for tweet in tweets]
13    total_engagement = sum(row["engagement"] for row in rows)
14    summary.append(
15        {
16            "community_id": community_id,
17            "name": name,
18            "tweet_count": len(rows),
19            "total_engagement": total_engagement,
20        }
21    )
22
23for item in sorted(summary, key=lambda row: row["total_engagement"], reverse=True):
24    print(item["name"], item["tweet_count"], item["total_engagement"])

Use the numbers as a triage signal, not as a conclusion. A smaller community may have fewer posts but better context.

Monitoring Pattern

Answer: Monitoring Pattern means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 10 Credits (about $0.10 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

For ongoing monitoring, schedule a query and deduplicate by tweet_id:

1. Search the community with a narrow query.
2. Store every returned tweet_id.
3. Skip rows you have already processed.
4. Rank new rows by engagement and recency.
5. Send only the highest-priority posts to a human review queue.

If you want an unfiltered feed for a community, TwexAPI also exposes community tweet endpoints such as GET /twitter/community/{community_id}/tweets/{tweet_type}/{target_count} and paginated community tweet retrieval. Use the search endpoint when the keyword matters more than a complete feed.

Common Pitfalls

Answer: Common Pitfalls means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 10 Credits (about $0.10 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

• Do not pass a community slug when the endpoint requires community_id.
• Keep query specific. One-word queries often return mixed intent.
• Treat target_count as an upper bound for collection, not a guarantee that every result will be useful.
• Store tweet_id as the dedupe key before you run scheduled jobs.
• Review the posts before using them in reports. Community posts can contain jokes, sarcasm, off-topic replies, and private context.

Wrap-up

Answer: Wrap-up means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 10 Credits (about $0.10 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-20, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

POST /twitter/community/search-tweets is best for focused research inside one X Community. Give it a community_id, a query, and a target_count; then normalize the response into review rows before drawing conclusions.

That framing keeps the workflow practical: collect the posts, keep the context, and let humans decide what matters.