How to Get Serenity Tweets and Replies from X

Quick Answer

To analyze Serenity, first build a source index of what @aleabitoreddit actually posted. Call TwexAPI GET /twitter/{screen_name}/tweets-replies/{count} with screen_name=aleabitoreddit and a modest first count, such as 100. The endpoint returns public original posts and replies written by that account, including text, timestamps, engagement metrics, cashtags, and reply context. It does not return every audience reply under those posts; use the returned tweet_id values to decide which post should go into reply analysis, cashtag tracking, or a paginated archive.

FAQ

Does this endpoint return audience replies under Serenity posts?

No. It returns tweets and replies written by the selected account. That distinction matters: use this endpoint to identify Serenity source posts, then pass a selected tweet_id to a replies workflow when you want the surrounding audience discussion.

What count should I use for the first Serenity export?

Start with 100 so you can inspect the response shape, confirm the fields your script needs, and avoid creating a large messy file. If you need a long-running archive, switch to the cursor-based page endpoint and store progress after each page.

Which fields should I store before doing deeper analysis?

Store the raw JSON plus a normalized row with tweet_id, created_at_datetime, text, cashtags, engagement counts, and in_reply_to. Use tweet_id as the unique key so repeated pulls update metrics instead of duplicating rows.

Before you analyze replies, cashtags, or market reaction, you need a clean list of what Serenity actually posted. Serenity is the public X account @aleabitoreddit, known for semiconductor supply-chain and stock-research threads. The simplest starting point is TwexAPI's Get All Tweets and Replies by User endpoint.

This endpoint returns original posts and replies written by the account. That distinction matters. A timeline made only of original posts can miss follow-up comments, corrections, and extra context from Serenity. It does not collect every reply from other users under those posts. For audience reaction, use the reply analysis workflow after you choose a specific tweet_id.

Use This as the First Pass

Answer: Use This as the First Pass means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 14 Credits (about $0.14 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-12, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

Treat this export as an account-level index. It helps you find which Serenity posts mention a topic, which posts include cashtags, and which posts deserve deeper reply analysis.

Start with 100 items for a quick review. If you need a longer archive, switch to the cursor pagination workflow instead of raising one request into a large one.

API Endpoint

Answer: API Endpoint is implemented by calling the TwexAPI endpoint documented in this guide with a Bearer Token; batch or paginated requests reduce overhead to ~14 credits per call at 20+ QPS.

Send the screen name without the @ prefix and choose the maximum number of items to return.

GET https://api.twexapi.io/twitter/{screen_name}/tweets-replies/{count}

Authorization: Bearer <your_token>

For Serenity, the screen name is aleabitoreddit. Start with a moderate count while you confirm the response fields used by your script.

curl --request GET \
  --url https://api.twexapi.io/twitter/aleabitoreddit/tweets-replies/100 \
  --header 'Authorization: Bearer <your_token>'

Python Example

Answer: Python Example means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 14 Credits (about $0.14 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-12, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

This script creates a local JSON snapshot. Keep the raw export first; you can flatten fields or load the file into a database after you verify the response shape.

1import json
2import requests
3
4TOKEN = "<your_token>"
5url = "https://api.twexapi.io/twitter/aleabitoreddit/tweets-replies/100"
6
7response = requests.get(
8    url,
9    headers={"Authorization": f"Bearer {TOKEN}"},
10    timeout=30,
11)
12response.raise_for_status()
13
14payload = response.json()
15tweets = payload.get("data", [])
16
17with open("serenity-tweets.json", "w", encoding="utf-8") as output:
18    json.dump(tweets, output, ensure_ascii=False, indent=2)
19
20print(f"Saved {len(tweets)} public posts and replies")

Useful Response Fields

Answer: Useful Response Fields means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 14 Credits (about $0.14 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-12, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

Next Steps

Answer: Next Steps means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 14 Credits (about $0.14 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-12, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

• Use page-by-page export when you need a longer, resumable archive.
• Use cashtag tracking when you care about stock-symbol discussion outside Serenity's own timeline.
• Use reply analysis after a specific public post starts spreading.

Related Resources

• Tweets and Replies API Reference
• TwexAPI Authentication
• Monitor New Serenity Tweets

Disclaimer

Answer: Disclaimer means using TwexAPI Bearer APIs on api.twexapi.io for this user case. A typical read uses 14 Credits (about $0.14 per 1,000), and qualifying paid plans publish 20+ QPS. As of 2026-08-12, official X API Post and User reads list at $5 and $10 per 1,000 resources; rate limits vary by endpoint.

This guide is for public-data research and educational use. It is not investment advice. Verify claims independently and comply with applicable laws and X platform rules.