import requests import re import json import pandas as pd import argparse GUEST_TOKEN_ENDPOINT = "https://api.twitter.com/1.1/guest/activate.json" STATUS_ENDPOINT = "https://twitter.com/i/api/graphql/" CURSOR_PATTERN = re.compile('TimelineCursor","value":"([^\"]+)"[^\}]+Bottom"') ID_PATTERN = re.compile('"rest_id":"([^"]+)"') COUNT_PATTERN = re.compile('"statuses_count":([0-9]+)') variables = { "count": 200, "withTweetQuoteCount": True, "includePromotedContent": True, "withQuickPromoteEligibilityTweetFields": False, "withSuperFollowsUserFields": True, "withUserResults": True, "withBirdwatchPivots": False, "withDownvotePerspective": False, "withReactionsMetadata": False, "withReactionsPerspective": False, "withSuperFollowsTweetFields": True, "withVoice": True, "withV2Timeline": False } def send_request(url, session_method, headers, params=None): if params: response = session_method(url, headers=headers, stream=True, params={"variables": json.dumps(params)}) else: response = session_method(url, headers=headers, stream=True) if response.status_code != 200: print(response.request.url) print(response.status_code) assert response.status_code == 200, f"Failed request to {url}. {response.status_code}. Please submit an issue including this information." result = [line.decode("utf-8") for line in response.iter_lines()] return "".join(result) def search_json(j, target_key, result): if type(j) == dict: for key in j: if key == target_key: result.append(j[key]) search_json(j[key], target_key, result) return result if type(j) == list: for item in j: search_json(item, target_key, result) return result return result def tweet_subset(d): return { "id": d["id_str"], "text": d["full_text"], "created_at": d["created_at"], "retweet_count": d["retweet_count"], "favorite_count": d["favorite_count"], "reply_count": d["reply_count"], "quote_count": d["quote_count"], "retweeted": d["retweeted"], "is_quote_status": d["is_quote_status"], "possibly_sensitive": d.get("possibly_sensitive", "No data"), } def get_tweets(query_id, session, headers, variables, expected_total): resp = send_request(f"{STATUS_ENDPOINT}{query_id}/UserTweetsAndReplies", session.get, headers, variables) j = json.loads(resp) all_tweets = search_json(j, "legacy", []) all_tweets = [tweet for tweet in all_tweets if "id_str" in tweet] ids = {tweet["id_str"] for tweet in all_tweets} while True: cursor = CURSOR_PATTERN.findall(resp)[0] variables["cursor"] = cursor resp = send_request(f"{STATUS_ENDPOINT}{query_id}/UserTweetsAndReplies", session.get, headers, variables) j = json.loads(resp) next_tweets = search_json(j, "legacy", []) next_tweets = [tweet for tweet in next_tweets if "id_str" in tweet] next_ids = {tweet["id_str"] for tweet in next_tweets} old_id_size = len(ids) ids.update(next_ids) if old_id_size == len(ids): break all_tweets.extend(next_tweets) print(f"{len(all_tweets)} / {expected_total}", end="\r") all_tweets = [tweet for tweet in all_tweets if "full_text" in tweet and tweet.get("user_id_str", "") == variables["userId"]] return all_tweets def get_id_and_tweet_count(session, headers, query_id, username): resp = send_request( f"{STATUS_ENDPOINT}{query_id}/UserByScreenName", session.get, headers, params={ "screen_name": username, "withSafetyModeUserFields": True, "withSuperFollowsUserFields": True } ) ids = ID_PATTERN.findall(resp) assert len(ids) == 1, f"Failed to find user id for {username}. Please open this as an issue including this message." counts = COUNT_PATTERN.findall(resp) assert len(counts) == 1, f"Failed to find tweet count for {username}. Please open this as an issue including this message." return ids[0], int(counts[0]) if __name__ == "__main__": parser = argparse.ArgumentParser(description="Get tweets for a user.") parser.add_argument("username", help="The username of the user to get tweets for.") parser.add_argument("--output", help="The output file to write to. If not specified, prints to stdout.") args = parser.parse_args() session = requests.Session() headers = {} username = args.username # One of the js files from original url holds the bearer token and query id. container = send_request(f"https://twitter.com/{username}", session.get, headers) js_files = re.findall("src=['\"]([^'\"()]*js)['\"]", container) bearer_token = None query_id = None user_query_id = None # Search the javascript files for a bearer token and UserTweets queryId for f in js_files: file_content = send_request(f, session.get, headers) bt = re.search('["\'](AAA[a-zA-Z0-9%-]+%[a-zA-Z0-9%-]+)["\']', file_content) ops = re.findall('\{queryId:"[a-zA-Z0-9_]+[^\}]+UserTweetsAndReplies"', file_content) query_op = [op for op in ops if "UserTweetsAndReplies" in op] if len(query_op) == 1: query_id = re.findall('queryId:"([^"]+)"', query_op[0])[0] if bt: bearer_token = bt.group(1) ops = re.findall('\{queryId:"[a-zA-Z0-9_]+[^\}]+UserByScreenName"', file_content) user_query_op = [op for op in ops if "UserByScreenName" in op] if len(user_query_op) == 1: user_query_id = re.findall('queryId:"([^"]+)"', user_query_op[0])[0] assert bearer_token, f"Did not find bearer token. Are you sure you used the right username? {username}" assert query_id, f"Did not find query id. Are you sure you used the right twitter username? {username}" assert user_query_id, f"Did not find user query id. Are you sure you used the right twitter username? {username}" headers['authorization'] = f"Bearer {bearer_token}" guest_token_resp = send_request(GUEST_TOKEN_ENDPOINT, session.post, headers) guest_token = json.loads(guest_token_resp)['guest_token'] assert guest_token, f"Did not find guest token. Probably means the script is broken. Please submit an issue. Include this message in your issue: {username}" headers['x-guest-token'] = guest_token user_id, total_count = get_id_and_tweet_count(session, headers, user_query_id, username) variables["userId"] = user_id resp = get_tweets(query_id, session, headers, variables, total_count) all_tweets = [tweet_subset(tweet) for tweet in resp] df = pd.DataFrame(all_tweets, index=range(len(all_tweets))) url_series = df.apply(lambda row: f"https://twitter.com/{username}/status/{row['id']}", axis=1) df["url"] = url_series df.set_index("id", inplace=True) if args.output: df.to_csv(args.output) else: print(df.to_string())