How To Scrape Tweets from Twitter Using Profiles Without Using Twitter's API?

July 21, 2021

In this blog, you will learn about how to scrape Twitter information without using Twitter API or without using a single line of code.

You can use a web scraping tool, for extracting information from Twitter. Web scraping tool allows you to fetch all the data from a website such as Twitter, as it replicates human interaction with a webpage.

You can easily extract Tweet from a handler, tweets with specific hashtags, tweets posted over a certain time window, and so on. Simply copy the URL of your desired webpage and put it into the web scraping tool built-in browser. You will be able to develop a crawler from the initial concept with just a few point-and-clicks.

Once the extraction is finished, you will be able to export the information into excel sheets, CSV, HTML, SQL, or you can also feed it into your database.


You can execute “twint” inside the docker, also it is possible to install it directly onto your PC using three options.


git clone
cd twint
pip3 install . -r requirements.txt


pip3 install twint
pip3 install --user --upgrade git+


pipenv install git+


After installing “twint” you can scrape your tweets and save the conclusion in a .csv file using the following command.

twint -u username -o file.csv --csv

After execution, the result will be displayed as follows:


You can also use other options for executing with “twint”

# Display Tweets by verified users that Tweeted about Trevor Noah.
twint -s "Trevor Noah" --verified

# Scrape Tweets from a radius of 1 km around the Hofburg in Vienna export them to a csv file.
twint -g="48.2045507,16.3577661,1km" -o file.csv --csv

# Collect Tweets published since 2019-10-11 20:30:15.
twint -u username --since "2019-10-11 21:30:15"

# Resume a search starting from the last saved tweet in the provided file
twint -u username --resume file.csv

Docker is used to run “twint”, but if you want to install it directly on your PC, you have a few options:

Twint-search is a good UI for searching your tweets. You will learn how to scrape tweets with Docker, save them to Elasticsearch, then explore the result with twint-search in the next step.

To begin, clone the twint-docker repository as follows:

git clone
cd twint-docker/dockerfiles/latest

Finally, it becomes possible to spin up the docker containers

docker pull x0rzkov/twint:latest
docker-compose up -d twint-search elasticsearch

Once everything is fully operational, use the following command to scrape tweets from a person and save them to a.csv file:

ocker-compose run -v $PWD/twint:/opt/app/data twint -u natterstefan -o file.csv --csv

The task’s output would be stored in the $PWD/twint mounted directory. Which is essentially the twint subfolder’s current path.

To complete the command, the number of tweets from the given account must be reached. With ls -lha./twint/file.csv, you should be able to analyze the data once it’s finished.

With docker-compose run -v $PWD/twint:/opt/app/data twint, you may now run any supported twint command.

Twint-search allows exploring tweets

We stored the findings in a.csv file in the earlier quote. However, the results can also be saved in Elasticsearch.

To begin, open docker-compose.yml in your preferred editor (mine is VSCode) and solve the current CORS problem until my pull request is merged.

    container_name: twint-elastic
    - cluster.initial_master_nodes=elasticsearch
    - bootstrap.memory_lock=true
+   - http.cors.enabled=true
+   - http.cors.allow-origin=*

Get ready to start the app

# start twint-search and elasticsearch
docker-compose up -d twint-search elasticsearch

Save the results into Elasticsearch

docker-compose run -v $PWD/twint:/opt/app/data twint -u natterstefan -es twint-elastic:9200

Now, you can open http://local:3000 and it will display:


You can also explore more tweets:

Contact Scraping Intelligence for any queries.