Bulk Unlike + Unretweet on X API — Complete Guide

By Alex Chen•10 min read

Most cleanup tutorials for X stop at deleting tweets. Likes and retweets need their own pass, and the two are not symmetrical: each needs a list of tweet IDs first, and the place you can get that list is different for each. This guide covers both with runnable Python, and it is specific about which steps twitterapi.io can do and which it cannot.

The short version: twitterapi.io can unlike a tweet (/twitter/unlike_tweet_v2) and can show you which of your timeline entries are retweets (/twitter/user/last_tweets). It cannot list the tweets you liked, and it has no endpoint that undoes a retweet. For those two gaps you use your X data archive or the official X API. The steps below are written around that split, with a dry run, a log file, and a 1-2 second pause between calls. The pause keeps the run at a pace a person could plausibly work at on their own account; it is not a way around any limit.

01 — Section

What each API can and cannot do

Four jobs make up a like and retweet cleanup. Here is where each one is possible, checked against the twitterapi.io OpenAPI spec (docs.twitterapi.io/api-reference/openapi.json) and the official X API reference (docs.x.com/x-api/posts/likes/introduction and docs.x.com/x-api/posts/retweets/introduction).

Jobtwitterapi.ioOfficial X API
List the tweets you likedNot availableGET /2/users/{id}/liked_tweets
Unlike one tweetPOST /twitter/unlike_tweet_v2DELETE /2/users/{id}/likes/{tweet_id}
List your retweetsGET /twitter/user/last_tweets, keep entries with retweeted_tweetGET /2/users/{id}/tweets with tweet.fields=referenced_tweets
Undo one retweetNot availableDELETE /2/users/{id}/retweets/{source_tweet_id}

Neither API has a single call that removes all likes or all retweets. Every unlike and every unretweet is its own request.

The twitterapi.io write endpoints work differently from the official ones. They do not use OAuth. You log in once with POST /twitter/user_login_v2 (body fields user_name, email, password, proxy, and an optional totp_secret), which returns login_cookies. You then send that value as login_cookies on each write call, together with a proxy. The proxy field is required and is your own residential proxy URL in the form http://username:password@ip:port. Be clear with yourself about what this means: you are giving your X password to a third-party API. Only do this for an account you own, and change the password afterwards if that makes you more comfortable.

The official X API uses your own developer app and user-context auth instead. X bills an unlike or an undone retweet as Interaction: Delete, $0.010 per request (docs.x.com/x-api/getting-started/pricing), so 1,000 removals cost 1,000 × $0.010 = $10.00. Check that page before you run anything at volume.

02 — Section

Step 1: get the IDs of the tweets you liked

twitterapi.io does not have a liked-tweets endpoint, so this step never touches it. There are two honest sources.

Your X data archive. In X, go to Settings > Your account > Download an archive of your data (help.x.com/en/managing-your-account/how-to-download-your-x-archive). X prepares a zip file; inside it, data/like.js holds one entry per like with the tweet ID. This costs nothing and needs no developer account. The archive is a snapshot, so likes you add after requesting it are not in the file. Open the file once and check the first entry before you trust a parser with it.

The official X API. GET /2/users/{id}/liked_tweets returns your likes in pages. You need an X developer app and user-context credentials, and the endpoint has its own rate limit and plan pricing (docs.x.com/x-api/posts/likes/introduction).

The code below reads the archive file and saves the IDs to liked_ids.json. The second function is the official-API alternative using tweepy.

python
import json
from pathlib import Path

def liked_ids_from_archive(like_js_path: str) -> list[str]:
    """Read liked-tweet IDs from the like.js file in your X data archive.

    The file is a JavaScript assignment followed by a JSON array, so we
    drop everything before the first "[" and parse the rest.
    """
    raw = Path(like_js_path).read_text(encoding="utf-8")
    entries = json.loads(raw[raw.index("["):])
    ids = []
    for entry in entries:
        tweet_id = entry.get("like", {}).get("tweetId")
        if tweet_id:
            ids.append(str(tweet_id))
    return ids

# Option B: the official X API (needs your own X developer app).
# pip install tweepy
def liked_ids_from_x_api(client, user_id: str) -> list[str]:
    """Page GET /2/users/{id}/liked_tweets with tweepy."""
    import tweepy
    ids = []
    pages = tweepy.Paginator(
        client.get_liked_tweets, user_id, max_results=100, user_auth=True
    )
    for page in pages:
        for tweet in page.data or []:
            ids.append(str(tweet.id))
    return ids

liked_ids = liked_ids_from_archive("twitter-archive/data/like.js")
print(f"found {len(liked_ids)} liked tweets in the archive")
Path("liked_ids.json").write_text(json.dumps(liked_ids))
03 — Section

Step 2: unlike with /twitter/unlike_tweet_v2, paced and logged

With the ID list saved, log in once and loop over the IDs. POST /twitter/unlike_tweet_v2 takes a JSON body with three required fields: login_cookies, tweet_id and proxy. The response has a status field (success or error) and a message field. Check status on every call; an error can come back in the JSON body as well as through the HTTP status code.

The pricing page lists $0.002 per call for this endpoint and $0.10 per call for user_login_v2. So 1,000 unlikes cost about $2.00 and 10,000 cost about $20.00, plus one login. The spec calls these trial prices, so confirm the current figure on twitterapi.io/pricing before a large run.

Three habits keep the run safe. Run with dry_run=True first and read the log it writes. Pause 1-2 seconds between calls so the activity stays at a pace one person could produce by hand. Stop when several calls fail in a row instead of retrying in a tight loop, then read the message values in the log to find out why. The script does all three.

If you would rather not share your X password, the same ID list works with the official DELETE /2/users/{id}/likes/{tweet_id}; in tweepy that is client.unlike(tweet_id).

python
import os, json, time, random, requests
from datetime import datetime, timezone

BASE = "https://api.twitterapi.io"
HEADERS = {"X-API-Key": os.environ["TWITTERAPI_IO_KEY"]}
PROXY = os.environ["X_PROXY"]  # your own residential proxy, http://user:pass@ip:port
UNLIKE_PRICE_USD = 0.002       # per call, from the endpoint description

def login() -> str:
    """Log in once and return the login cookie for the write endpoints."""
    body = {
        "user_name": os.environ["X_USERNAME"],
        "email": os.environ["X_EMAIL"],
        "password": os.environ["X_PASSWORD"],
        "proxy": PROXY,
    }
    if os.environ.get("X_TOTP_SECRET"):
        body["totp_secret"] = os.environ["X_TOTP_SECRET"]
    r = requests.post(f"{BASE}/twitter/user_login_v2",
                      headers=HEADERS, json=body, timeout=120)
    r.raise_for_status()
    data = r.json()
    if data.get("status") != "success":
        raise RuntimeError(f"login failed: {data.get('message')}")
    return data["login_cookies"]

def bulk_unlike(tweet_ids: list[str], login_cookies: str,
                dry_run: bool = True, max_consecutive_errors: int = 5) -> dict:
    """Unlike tweets one call at a time, with a pause and a log line per tweet."""
    stamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
    log_path = f"unlike_log_{stamp}.jsonl"
    ok = failed = streak = 0
    with open(log_path, "a", encoding="utf-8") as log:
        for tweet_id in tweet_ids:
            entry = {"tweet_id": tweet_id, "action": "unlike",
                     "at": datetime.now(timezone.utc).isoformat()}
            if dry_run:
                entry["result"] = "dry_run"
                log.write(json.dumps(entry) + "\n")
                continue
            try:
                r = requests.post(
                    f"{BASE}/twitter/unlike_tweet_v2",
                    headers=HEADERS,
                    json={"login_cookies": login_cookies,
                          "tweet_id": tweet_id,
                          "proxy": PROXY},
                    timeout=60,
                )
                data = r.json()
                if r.ok and data.get("status") == "success":
                    entry["result"] = "unliked"
                    ok += 1
                    streak = 0
                else:
                    entry["result"] = f"error: http {r.status_code} {data.get('message')}"
                    failed += 1
                    streak += 1
            except (requests.RequestException, ValueError) as exc:
                entry["result"] = f"error: {exc}"
                failed += 1
                streak += 1
            log.write(json.dumps(entry) + "\n")
            log.flush()
            if streak >= max_consecutive_errors:
                print("too many errors in a row, stopping; read the log first")
                break
            time.sleep(1.0 + random.uniform(0.0, 1.0))  # 1-2 s between calls
    return {"unliked": ok, "failed": failed, "log": log_path}

liked_ids = json.load(open("liked_ids.json"))
print(f"{len(liked_ids)} unlikes would cost about "
      f"${len(liked_ids) * UNLIKE_PRICE_USD:.2f}")

print(bulk_unlike(liked_ids, login_cookies="", dry_run=True))  # writes the log only
# When the dry-run log looks right:
# cookies = login()
# print(bulk_unlike(liked_ids, cookies, dry_run=False))
04 — Section

Step 3: list your retweets, then undo them on the official X API

Retweets show up in your own timeline, so twitterapi.io can enumerate them. GET /twitter/user/last_tweets takes userName or userId, plus cursor and includeReplies, and returns up to 20 tweets per page along with has_next_page and next_cursor. The first page uses an empty cursor. In the tweet schema, a retweet has a retweeted_tweet object holding the original tweet; on a normal tweet that field is null. The original tweet's id is the source_tweet_id you need for the undo call.

Reads are billed per tweet returned: 15 credits, which is $0.00015 at 100,000 credits per dollar, or $0.15 per 1,000 tweets (twitterapi.io/pricing). You pay for every tweet the timeline returns, not only the retweets, so a 5,000-tweet timeline costs about $0.75 to scan. The spec does not say how far back this endpoint pages, so do not assume it reaches the very first tweet of an old account. If the list looks short, the data/tweets.js file in your X archive is the complete record.

Undoing the retweets is the part twitterapi.io does not cover. The spec has /twitter/retweet_tweet_v2 to create a retweet but nothing to remove one, and it does not say that /twitter/delete_tweet_v2 works on a retweet, so this guide does not rely on that. The documented route is the official DELETE /2/users/{id}/retweets/{source_tweet_id} (docs.x.com/x-api/posts/retweets/introduction), which is client.unretweet(source_tweet_id) in tweepy. For a small number of retweets, undoing them by hand in the X app is also reasonable.

python
import os, json, time, random, requests
from datetime import datetime, timezone

BASE = "https://api.twitterapi.io"
HEADERS = {"X-API-Key": os.environ["TWITTERAPI_IO_KEY"]}
READ_PRICE_USD = 0.00015  # per tweet returned, twitterapi.io/pricing

def list_retweets(handle: str) -> tuple[list[dict], int]:
    """Page your timeline and keep the entries that are retweets.

    Returns (retweets, tweets_read). Each retweet keeps the ID of the
    timeline entry and the ID of the original tweet.
    """
    retweets, tweets_read, cursor = [], 0, ""
    while True:
        r = requests.get(
            f"{BASE}/twitter/user/last_tweets",
            headers=HEADERS,
            params={"userName": handle, "cursor": cursor},
            timeout=30,
        )
        r.raise_for_status()
        resp = r.json()
        # Tweets arrive under data.tweets; the cursor fields are at the top level.
        tweets = (resp.get("data") or {}).get("tweets") or []
        tweets_read += len(tweets)
        for t in tweets:
            original = t.get("retweeted_tweet")
            if original:
                retweets.append({"timeline_id": t["id"],
                                 "source_tweet_id": original["id"]})
        cursor = resp.get("next_cursor")
        if not resp.get("has_next_page") or not cursor:
            break
        time.sleep(0.5 + random.uniform(0.0, 0.5))
    return retweets, tweets_read

retweets, tweets_read = list_retweets("your_handle")
print(f"read {tweets_read} tweets (about ${tweets_read * READ_PRICE_USD:.4f}), "
      f"{len(retweets)} are retweets")
with open("retweets.json", "w", encoding="utf-8") as f:
    json.dump(retweets, f)

# Undo them with the official X API (needs your own X developer app).
# pip install tweepy
import tweepy

def bulk_unretweet(client: tweepy.Client, retweets: list[dict],
                   dry_run: bool = True) -> dict:
    """DELETE /2/users/{id}/retweets/{source_tweet_id}, one call per retweet."""
    stamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
    log_path = f"unretweet_log_{stamp}.jsonl"
    ok = failed = 0
    with open(log_path, "a", encoding="utf-8") as log:
        for item in retweets:
            entry = {**item, "action": "unretweet",
                     "at": datetime.now(timezone.utc).isoformat()}
            if dry_run:
                entry["result"] = "dry_run"
                log.write(json.dumps(entry) + "\n")
                continue
            try:
                client.unretweet(item["source_tweet_id"])
                entry["result"] = "unretweeted"
                ok += 1
            except tweepy.TweepyException as exc:
                entry["result"] = f"error: {exc}"
                failed += 1
            log.write(json.dumps(entry) + "\n")
            log.flush()
            time.sleep(1.0 + random.uniform(0.0, 1.0))  # 1-2 s between calls
    return {"unretweeted": ok, "failed": failed, "log": log_path}

client = tweepy.Client(
    consumer_key=os.environ["X_CONSUMER_KEY"],
    consumer_secret=os.environ["X_CONSUMER_SECRET"],
    access_token=os.environ["X_ACCESS_TOKEN"],
    access_token_secret=os.environ["X_ACCESS_TOKEN_SECRET"],
    wait_on_rate_limit=True,  # sleep until the window resets instead of retrying
)
print(bulk_unretweet(client, retweets, dry_run=True))
# bulk_unretweet(client, retweets, dry_run=False)  # after you read the dry-run log
05 — Section

Putting it together for a full account cleanup

If you are also deleting your own tweets (see /blog/delete-tweets-free-api-bulk-tutorial), run the pieces in this order.

  1. Request your X data archive and keep the zip. It is your only full record of what you liked, retweeted and posted (see also /blog/twitter-history-api-export-guide).
  2. Build liked_ids.json from data/like.js, or from the official liked-tweets endpoint.
  3. Dry-run the unlike loop, read the log, then run it for real through /twitter/unlike_tweet_v2.
  4. List your retweets with /twitter/user/last_tweets and undo them through the official X API. Do this before you delete your own tweets, so the timeline scan is not reading entries you are about to remove anyway.
  5. Delete your own tweets last. twitterapi.io has /twitter/delete_tweet_v2 for that, with the same three body fields and the same $0.002 trial price.
  6. Check the result on your profile's Likes tab and timeline. Because twitterapi.io cannot list likes, the profile (or a fresh archive) is how you confirm the likes are gone.

A worked cost example using the prices above: 10,000 unlikes at $0.002 is $20.00, one login is $0.10, and scanning a 10,000-tweet timeline for retweets is $1.50. X bills each unretweet as Interaction: Delete, $0.010 per request. On time: 10,000 calls with an average 1.5 second pause is about 4.2 hours of waiting before you count the requests themselves, so plan for a long unattended run and rely on the log.

06 — Section

Side by side: four ways to bulk unlike and unretweet

PathWhat you hand overCost per actionUnlikeUnretweet
twitterapi.io write endpointsX username, email, password, your own proxy$0.002 per unlike (trial price in the spec)Yes, /twitter/unlike_tweet_v2No endpoint
Official X API with your own appOAuth user-context tokens$0.010 per unlike or unretweet, billed as Interaction: Delete (docs.x.com/x-api/getting-started/pricing)YesYes
Third-party cleanup apps (Redact, Circleboom, TweetEraser)Account access granted to the appSet by each app; check its current plansVaries by appVaries by app
By hand in the X appNothingYour timeYesYes

The official API is the only single path that covers all four jobs with documented endpoints. twitterapi.io is useful when you do not have an X developer app and want a pay-per-call unlike, or when you want a cheap read of your timeline to find retweets. The cleanup apps trade code for a user interface; their limits and prices change, so read their own pages instead of trusting a number quoted elsewhere. Doing it by hand is fine for a few dozen items.

07 — Section

Pacing, limits and what the script will not do

Pause 1-2 seconds between calls, with jitter. The scripts sleep a random 1.0 to 2.0 seconds after each write. This is a conservative choice made for this guide, not a published limit. Its purpose is to keep your account's activity at a human pace. It is not a technique for avoiding detection, and nothing here should be used that way.

Official X API limits. The DELETE endpoints for likes and retweets have per-user rate limits listed at docs.x.com/x-api/fundamentals/rate-limits. Creating the tweepy client with wait_on_rate_limit=True makes it sleep until the window resets.

twitterapi.io limits. The OpenAPI spec does not state a rate limit for the write endpoints. Account-level request limits are described on /qps-limits. If calls start failing, stop and read the message text in the log; the scripts stop on their own after five failures in a row.

X's automation rules apply to you. X publishes rules for automated activity at help.x.com/en/rules-and-policies/x-automation. Cleaning up your own account is the use case here. Do not run these scripts against an account that is not yours.

No undo. An unlike or unretweet can be reversed one tweet at a time by liking or retweeting again, if the original tweet still exists. There is no bulk restore. The log file and your archive are the only record of what was removed, so keep both.

python
# Unlike everything in your X archive and list your retweets, in one run.
# Uses only twitterapi.io endpoints: user_login_v2, unlike_tweet_v2, last_tweets.
import os, json, time, random, requests
from datetime import datetime, timezone
from pathlib import Path

BASE = "https://api.twitterapi.io"
HEADERS = {"X-API-Key": os.environ["TWITTERAPI_IO_KEY"]}
PROXY = os.environ["X_PROXY"]          # your own residential proxy URL
HANDLE = os.environ["X_USERNAME"]
LIKE_JS = os.environ.get("LIKE_JS", "twitter-archive/data/like.js")
DRY_RUN = True                         # flip to False after reading the dry-run log
RUN_ID = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
LOG_PATH = f"cleanup_{RUN_ID}.jsonl"

def pause():
    time.sleep(1.0 + random.uniform(0.0, 1.0))  # 1-2 s between calls

def log_line(entry: dict):
    entry["at"] = datetime.now(timezone.utc).isoformat()
    with open(LOG_PATH, "a", encoding="utf-8") as log:
        log.write(json.dumps(entry) + "\n")

def liked_ids_from_archive(path: str) -> list[str]:
    raw = Path(path).read_text(encoding="utf-8")
    entries = json.loads(raw[raw.index("["):])
    return [str(e["like"]["tweetId"]) for e in entries
            if e.get("like", {}).get("tweetId")]

def login() -> str:
    body = {"user_name": HANDLE, "email": os.environ["X_EMAIL"],
            "password": os.environ["X_PASSWORD"], "proxy": PROXY}
    if os.environ.get("X_TOTP_SECRET"):
        body["totp_secret"] = os.environ["X_TOTP_SECRET"]
    r = requests.post(f"{BASE}/twitter/user_login_v2",
                      headers=HEADERS, json=body, timeout=120)
    r.raise_for_status()
    data = r.json()
    if data.get("status") != "success":
        raise RuntimeError(f"login failed: {data.get('message')}")
    return data["login_cookies"]

def unlike(tweet_id: str, cookies: str) -> tuple[bool, str]:
    r = requests.post(f"{BASE}/twitter/unlike_tweet_v2", headers=HEADERS,
                      json={"login_cookies": cookies, "tweet_id": tweet_id,
                            "proxy": PROXY}, timeout=60)
    try:
        data = r.json()
    except ValueError:
        return False, f"http {r.status_code}, body was not JSON"
    return r.ok and data.get("status") == "success", str(data.get("message"))

def list_retweets(handle: str) -> list[dict]:
    out, cursor = [], ""
    while True:
        r = requests.get(f"{BASE}/twitter/user/last_tweets", headers=HEADERS,
                         params={"userName": handle, "cursor": cursor}, timeout=30)
        r.raise_for_status()
        resp = r.json()
        tweets = (resp.get("data") or {}).get("tweets") or []
        for t in tweets:
            if t.get("retweeted_tweet"):
                out.append({"timeline_id": t["id"],
                            "source_tweet_id": t["retweeted_tweet"]["id"]})
        cursor = resp.get("next_cursor")
        if not resp.get("has_next_page") or not cursor:
            return out
        pause()

liked = liked_ids_from_archive(LIKE_JS)
print(f"{len(liked)} likes in the archive, about ${len(liked) * 0.002:.2f} to unlike")
print(f"sleep time alone at 1.5 s per call: about {len(liked) * 1.5 / 60:.0f} minutes")

cookies = "" if DRY_RUN else login()
errors_in_a_row = 0
for tweet_id in liked:
    if DRY_RUN:
        log_line({"action": "unlike", "tweet_id": tweet_id, "result": "dry_run"})
        continue
    try:
        ok, msg = unlike(tweet_id, cookies)
    except requests.RequestException as exc:
        ok, msg = False, str(exc)
    log_line({"action": "unlike", "tweet_id": tweet_id,
              "result": "unliked" if ok else f"error: {msg}"})
    errors_in_a_row = 0 if ok else errors_in_a_row + 1
    if errors_in_a_row >= 5:
        print("5 errors in a row, stopping; read the log before you retry")
        break
    pause()

retweets = list_retweets(HANDLE)
Path(f"retweets_{RUN_ID}.json").write_text(json.dumps(retweets, indent=2))
print(f"{len(retweets)} retweets saved to retweets_{RUN_ID}.json")
print("undo them with DELETE /2/users/{id}/retweets/{source_tweet_id} on the official X API")
print(f"log: {LOG_PATH}")
08 — Questions

Questions readers ask

Can I bulk unlike all tweets I've ever liked via the X API?

Yes, one call per tweet. First get the IDs from your X data archive (data/like.js) or the official GET /2/users/{id}/liked_tweets. Then unlike each one with the official DELETE /2/users/{id}/likes/{tweet_id} or with twitterapi.io POST /twitter/unlike_tweet_v2. There is no single 'unlike all' endpoint on either API, and twitterapi.io has no endpoint that lists your likes.

How do I undo all my retweets programmatically?

List them, then undo them one at a time. To list, page GET /twitter/user/last_tweets on twitterapi.io and keep tweets that have a retweeted_tweet object, or use the official GET /2/users/{id}/tweets with tweet.fields=referenced_tweets. To undo, call the official DELETE /2/users/{id}/retweets/{source_tweet_id}. twitterapi.io does not have an unretweet endpoint. Runnable Python is in Step 3 above.

What do I need to call /twitter/unlike_tweet_v2?

A twitterapi.io API key in the X-API-Key header, and a JSON body with login_cookies, tweet_id and proxy, all required. login_cookies is the value of the same name returned by POST /twitter/user_login_v2, which takes user_name, email, password, proxy and an optional totp_secret. The proxy is your own residential proxy URL. The pricing page lists $0.002 per unlike call and $0.10 per login call.

Do I need OAuth 2.0 or OAuth 1.0a for the official delete endpoints?

The official endpoints need user-context auth, meaning the call is made as your account and not as an app only. The X API reference for each endpoint lists the accepted methods (docs.x.com/x-api/posts/likes/introduction and docs.x.com/x-api/posts/retweets/introduction). In tweepy, passing consumer_key, consumer_secret, access_token and access_token_secret to tweepy.Client uses OAuth 1.0a user context. The twitterapi.io endpoints do not use OAuth at all; they use an API key plus login cookies.

Is bulk unlike or unretweet against X's terms of service?

Removing your own likes and retweets through the official API is a documented use of those endpoints. X's rules for automated activity are published at help.x.com/en/rules-and-policies/x-automation and they apply whichever tool you use, so read them before a large run. Keep the pace slow, only act on your own account, and be careful with any tool that asks for your password. That includes the twitterapi.io login endpoint: you are sharing credentials with a third party, so decide whether you are comfortable with that first.

How fast can I run the loop?

This guide uses a 1-2 second pause with random jitter between calls. That is a deliberately slow choice for this guide and not a published limit. At an average of 1.5 seconds, 10,000 calls means about 4.2 hours of waiting plus request time. The official DELETE endpoints have per-user rate limits listed at docs.x.com/x-api/fundamentals/rate-limits. The twitterapi.io spec states no limit for the write endpoints; the scripts stop after five failures in a row so you can read the log.

Can I re-like or re-retweet what I've bulk-unliked?

One at a time, yes, as long as the original tweet still exists. Neither API remembers what you used to like, so a bulk restore is only possible if you kept the ID list. Keep your X archive and the log file the script writes. twitterapi.io has /twitter/like_tweet_v2 and /twitter/retweet_tweet_v2 for the reverse actions, with the same body fields.

How does this compare to Redact or Circleboom for the same workflow?

Those are apps with a user interface: you grant account access and pick what to remove, without writing code. Their features, limits and prices are set by each vendor and change over time, so check their own sites. The API route takes more setup but gives you the ID list, the pacing and the log in your own hands. For a few dozen items, doing it by hand in the X app is the least effort.

09 — Further reading

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