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