Use premium version for more features and better stability.
This command-line tool clicks ads for a certain query on Google search using undetected_chromedriver package. Supports proxy, running multiple simultaneous browsers, ad targeting/exclusion, and running in loop.
You can find the premium versions here for Google and here for Bing.
Old version of the tool can be found in the old_version
branch.
- Requires Python 3.9 to 3.11
- Requires the latest Chrome version
Run the following commands in the project directory to install the required packages.
python -m venv env
source env/bin/activate
python -m pip install -r requirements.txt
See here for setup on Windows.
See here for creating the Docker image manually.
-
You need to see
(env)
at the beginning of your command prompt that is showing virtual environment is activated. -
Before running the below commands for the first time, run
python ad_clicker.py -q test
once and end it by pressing CTRL+C after seeing the browser opened.
usage: python ad_clicker.py [-h] [-q QUERY] [-e EXCLUDES] [-l MAX_SCROLL_LIMIT] [--headless] [-p PROXY] [-pf PROXY_FILE] [--auth] [--incognito]
optional arguments:
-h, --help show this help message and exit
-q QUERY, --query QUERY Search query
-l MAX_SCROLL_LIMIT, --max_scroll_limit MAX_SCROLL_LIMIT Number of maximum scrolls on the search results page
--headless Use headless browser (not recommended)
-p PROXY, --proxy PROXY Use the given proxy in ip:port format
-pf PROXY_FILE, --proxy_file PROXY_FILE Select a proxy from the given file
--auth Use proxy with username and password. If this is passed,
proxy parameter should be in "username:password@host:port" format
-e EXCLUDES, --excludes EXCLUDES Exclude the ads that contain given words in url or title
--incognito Run in incognito mode. Disables proxy usage.
-qf QUERY_FILE, --query_file QUERY_FILE Read queries to search from the given file (valid for multiprocess run)
-bc BROWSER_COUNT, --browser_count BROWSER_COUNT Maximum number of browsers to run concurrently (valid for multiprocess run)
-ms MULTIPROCESS_STYLE, --multiprocess_style MULTIPROCESS_STYLE Style of the multiprocess run. (valid for multiprocess run)
1: different query on each browser (default)
2: same query on each browser
python ad_clicker.py -q <search query> [-e EXCLUDES] [-l MAX_SCROLL_LIMIT] [--headless] [-p PROXY] [-pf PROXY_FILE] [--auth] [--incognito]
"~/" represents home folder on Linux/Mac. If you use Windows, don't use it.
If you put your files into project directory, you can just specify the file name,
otherwise you should give the full path.
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Search for "wireless keyboard" with the default 4 seconds visit time on clicked ad pages.
python ad_clicker.py -q "wireless keyboard"
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Search for "wireless keyboard" with maximum scroll set to 5.
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python ad_clicker.py -q "wireless keyboard" -l 5
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By default(0), it will scroll until the end.
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Search for "wireless keyboard" using headless browser.
python ad_clicker.py -q "wireless keyboard" --headless
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Search for "wireless keyboard" using the given proxy without authentication.
python ad_clicker.py -q "wireless keyboard" -p host:port
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Search for "wireless keyboard" using the given proxy with authentication.
python ad_clicker.py -q "wireless keyboard" --auth -p username:password@host:port
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Search for "wireless keyboard" using a proxy from the given file.
python ad_clicker.py -q "wireless keyboard" -pf ~/proxies.txt
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Search for "wireless speaker" and click links that include the given filter words in url or title.
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python ad_clicker.py -q "wireless speaker@amazon#ebay # mediamarkt"
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Spaces around "@" and "#" are ignored, so both "wireless speaker@amazon#ebay" and "wireless speaker @ amazon # ebay" take "wireless speaker" as search query and "amazon" and "ebay" as filter words.
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If you will give a target domain as filter word, don't use "http" or "www" parts in it. Use like "query@domainname.com" or even "query@domainname". Keep it as short as possible to get a match.
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Search for "wireless speaker" and click links except the ones containing the given words in url or title.
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python ad_clicker.py -q "wireless speaker" -e "amazon.com,mediamarkt.com,for 2022,Soundbar"
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Separate multiple exclude items with comma.
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Run browser in
incognito
mode.-
python ad_clicker.py -q "wireless speaker" --incognito
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Note that the proxy extension is not enabled in incognito mode.
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Run multiple browsers by taking queries and proxies with authentication from the given files.
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python run_ad_clicker.py -qf ~/queries.txt --auth -pf ~/proxies.txt
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You can see example queries in
sample_queries.txt
file.
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Run multiple browsers by taking queries and proxies with authentication from the given files and pass exclude words.
python run_ad_clicker.py -qf ~/queries.txt --auth -pf ~/proxies.txt -e "amazon.com,mediamarkt.com,for 2022"
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Run multiple browsers by taking queries and proxies without authentication from the given files with 5 browsers.
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python run_ad_clicker.py -qf ~/queries.txt -pf ~/proxies.txt -bc 5
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If -bc(--browser_count) option is not given, the number of cpu cores is used.
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Run multiple browsers by taking queries and proxies from the given files using alternative multiprocess style.
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python run_ad_clicker.py -qf ~/queries.txt -pf ~/proxies.txt -ms 2
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1: each browser instance gets a different query from file (default) (e.g. 5 browsers search the first 5 queries from the file. After they are completed, second group of 5 browsers search the next 5 queries from the file and so on)
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2: multiple browser instances get the same query (e.g. 5 browsers search the first query from file. After they are completed, second group of 5 browsers search the second query and so on)
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If the number of queries or proxies are less than the number of browsers to run, they are cycled.
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Run the tool in loop.
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python run_in_loop.py -qf ~/queries.txt -pf ~/proxies.txt --auth
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Query and proxy files are required for this command.
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Default wait time between runs is 60 seconds.
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Run the tool in loop with given number of browser instances.
python run_in_loop.py -qf ~/queries.txt -pf ~/proxies.txt --auth -bc 4
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Run the tool in loop with given number of browser instances and maximum scroll set to 10.
python run_in_loop.py -qf ~/queries.txt -pf ~/proxies.txt --auth -bc 4 -l 10
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Run the tool in loop with given number of browser instances and 2 minutes wait between runs.
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python run_in_loop.py -qf ~/queries.txt -pf ~/proxies.txt --auth -bc 2 -wt 120
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Wait time parameter should be in seconds.
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Run the tool in loop with given number of browser instances and pass exclude words.
python run_in_loop.py -qf ~/queries.txt -pf ~/proxies.txt --auth -bc 2 -e "amazon.com,mediamarkt.com,for 2022"
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Run the tool in loop using alternative multiprocess style.
python run_in_loop.py -qf ~/queries.txt -pf ~/proxies.txt --auth -ms 2
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If you want to use the prebuilt image from DockerHub, you can use the following command.
docker pull codenineeight/ad_clicker_docker
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Run the following command on your host machine once.
xhost local:docker
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Create a volume for the input files
docker volume create ad_clicker_files
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Add your queries and proxies files to the created volume
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docker run -v ad_clicker_files:/data -v <queries.txt folder path>:/mnt/host alpine cp /mnt/host/queries.txt /data/
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docker run -v ad_clicker_files:/data -v <proxies.txt folder path>:/mnt/host alpine cp /mnt/host/proxies.txt /data/
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Check if the files are copied successfully
docker run --rm -v ad_clicker_files:/data alpine ls -l /data
-rw-r--r-- 1 root root 165 Apr 1 09:25 proxies.txt -rw-r--r-- 1 root root 216 Apr 1 09:25 queries.txt
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You can pass the arguments as before after the image name(in this case codenineeight/ad_clicker_docker)
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docker run --rm -it --net=host -e DISPLAY=$DISPLAY -v ad_clicker_files:/data codenineeight/ad_clicker_docker run_ad_clicker.py -qf /data/queries.txt --auth -pf /data/proxies.txt -bc 2
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docker run --rm -it --net=host -e DISPLAY=$DISPLAY codenineeight/ad_clicker_docker ad_clicker.py -q "wireless keyboard" -p username:password@host:port --auth
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https://coskundeniz.github.io/ad_clicker
If you benefit from this tool, please consider donating using the sponsor links or the following crypto addresses.
- ETH: 0x461c1B3bd9c3E2d949C56670C088465Bf3457F4B
- USDT: 0x1a4f06937100Dc704031386667D731Bea0670aaf