aba-cli-scrapper 0.3.1

Scrappe all products and theirs related suppliers existing on Alibaba based on keywords provided by user and save results into a database (Mysql/Sqlite).

Alibaba-CLI-Scraper

🛒 💻 🕸

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Is a python package that provides a dedicated CLI interface for scraping data from Alibaba.com. The purpose of this project is to extract products and theirs related suppliers informations from Alibaba.com and store it in a local database (SQLite or MySQL). The project utilizes asynchronous requests for efficient handling of numerous requests and allows users to easily run the scraper and manage the database using a user-friendly command-line interface (CLI).

Table of Contents

• Table of Contents
  • Features:
  • Which important informations will be retrieved from the Alibaba website ?
  • Sample of CSV output
  • Prerequisites
  • Installation
  • Using the CLI Interface
    • Available Commands:
      • How to set My API KEY ?
• Future Enhancements
• Contributions Welcome!
• License

Features:

• Asynchronous API: Utilizes asynchronous API of Playwright and Brightdata Proxies for efficient handling of numerous pages results.
• Database Integration: Stores scraped data in a database (SQLite or MySQL) for structured persistence.
• User-Friendly CLI: Provides easy-to-use commands for running the scraper and managing the database.

Which important informations will be retrieved from the Alibaba website ?

Fields related to Suppliers:

`id`: int

`name`: str

`verification_mode`: str

`sopi_level`: int

`country_name`: str

`years_as_gold_supplier`: int

`supplier_service_score`: float

Fields related to Products:

`id`: int

`name`: str 

`alibaba_guranteed`: bool

`certifications`: str

`minimum_to_order`: int

`ordered_or_sold`: int

`supplier_id`: int

`min_price`: float

`max_price`: float

`product_score`: float

`review_count` : float

`review_score` : float

`shipping_time_score` : float

`is_full_promotion`: bool

`is_customizable`: bool

`is_instant_order`: bool

`trade_product`:bool

Sample of CSV output

When you will run command to export your sqlite file as a csv a OUTER FULL JOIN operation will be made to join all the fields of the both tables. Bellow you have a sample results maching agricultural machinery keywords.

id	name	alibaba_guranteed	minimum_to_order	supplier_id	alibaba_guranteed	certifications	ordered_or_sold	product_score	review_count	review_score	shipping_time_score	is_full_promotion	is_customizable	is_instant_order	trade_product	min_price	max_price	name	verification_mode	sopi_level	country_name	years_as_gold_supplier	supplier_service_score
1	mesh knitting weaving machine produce sunscreen net agricultural shade net anti net	1	1	1	1		0	5.0	1.0	5.0	5.0	1	1	1	1	9997.0	18979.0	qingdao shanzhong imp and exp ltd.	unverified	0	chine	9	5.0
2	chinese small farm rotary tiller 12hp 15hp 20hp two wheel mini hand tractor walk behind tractors	1	1	2	1		0	0.0	0.0	0.0	0.0	1	1	1	1	455.0	455.0	shandong guoyoule agricultural machinery co., ltd.	unverified	0	chine	1	0.0
3	small multifunctional flexible 130l orchard remote control garden crawler agriculture robot sprayer	1	1	3	1		0	0.0	0.0	0.0	0.0	1	1	1	1	2350.0	4620.0	shandong my agricultural facilities co., ltd.	unverified	0	chine	1	0.0
4	5hp/7hp/12hp rotary electric start agricultural farming walking tractor power tiller weeder cultivators	1	1	4	1		2	0.0	0.0	0.0	0.0	1	1	1	1	244.0	371.0	shandong jinlong lutai international trade co., ltd.	verified	0	chine	1	0.0
5	free shipping 3.5 ton mini excavator 1 ton 2 ton kubota engine digger excavator mini pelle chinese cheap small excavator machine	1	1	5	1	CE	95	4.6	25.0	4.6	4.6	1	1	1	1	988.0	1235.0	shandong qilu industrial co., ltd.	unverified	5	chine	4	4.6

Prerequisites

• Python 3.11 or Higher

• Scraping Browser API KEY from BrightData

• Windows or Linux as OS

if you want to know how to set your api key look at here

• Available Commands:

Installation

It's recommended to use pipx instead of pip for end-user applications written in Python. pipx installs the package, exposes his CLI entrypoints in an isolated environment and makes it available everywhere this guarantees no dependency conflicts and clean uninstall.

If you'd like to use pip instead, just replace pipx with pip but obviously as usual you'll need to create a virtual environment and activate it before to use aba-cli-scrapper to avoid any dependency conflicts issues. let's install aba-cli-scrapper using pipx:

   pipx install aba-cli-scrapper

Using the CLI Interface

Need Help? run any commands followed by --help for detailed informations about its usage and options. For example: aba-run --help will show you all subcommands available and how to use them.

Warnings:

• aba-run is the base command means all other commands that will be introduce bellow are sub-commands and should always be preceded by aba-run. Practice make perfect isn't ? So let's get started with a use case example. Let's assume that you want to scrape data about electric bikes from Alibaba.com.

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Available Commands:

Scraper Demo

https://user-images.githubusercontent.com/49741340/238535232-459847af-a15c-4d9b-91ac-fab9958bc74f.mp4

How to set My API KEY ?

by default scrapper will use async mode which is supported by brightdata api which means if you want to use it you will need to provide your api key. set it by using command bellow:

aba-run set-api-key your_api_key

and now run scraper sub-command without --sync-api flag to use async mode.

• scraper sub-command: Initiates scraping of Alibaba.com based on the provided keywords. this command takes two required arguments and one optional argument:

  • • key_words (required): The search term(s) for finding products on Alibaba. Enclose multiple keywords in quotes.
  • • --page-results or -pr (required): Usually keys words will results to many pages macthing them. Then you must to indicate how many of them you want to pull out.If any value is not provided 10 will be used by default.
  • • --html-folder or -hf (optional): Specifies the directory to store the raw HTML files. If omitted, a folder with sanitized keywords as name will be automatically created. In this case electric_bikes will be used as a results folder name.

  Example:

  aba-run scraper "electric bikes" -hf "bike_results" -pr 15
  

However if you want to use sync mode you can use :

aba-run scraper "electric bikes" -hf "bike_results" -pr 15  --sync-api

and voila!

Now bike_results (since you already provided name you wish to have) directory has been created and should contains all html files from alibaba.com matching your keywords.

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db-init Demo with sqlite

https://user-images.githubusercontent.com/49741340/238535232-459847af-a15c-4d9b-91ac-fab9958bc74f.mp4

Then you must initialize a database. Mysql and sqlite are supported.

• db-init sub-command: Creates a new database mysql/sqlite. this command takes one required arguments and six optional arguments(depends on engine you choose):
  • • engine (required): Choose either sqlite or mysql.
  • • --sqlite-file or -f(optional, SQLite only): The name for your SQLite database file (without any extension).
  • • --host or -h, --port or -p, --user or -u, --password or -pw, --db-nameor -db (required for MySQL): Your MySQL database connection details.

  • --only-with or -ow(optional Mysql): If you just want to update some details of your credentials in db_credentials.json file but not all before to initialize a brand new database.

• NB: --host and --port are respectively set to localhost and 3306 by default.

MySQL Use case:

aba-run db-init mysql -u "mysql_username" -pw "mysql_password" -db "alibaba_products" 

Assuming that you have already initialized your database,and you want to created a new one with a new database name without to set password and username again , simply run :

aba-run db-init mysql --only-with -db "alibaba_products" 

NB: When you initialize your mysql as engine, the db-init sub-command will save your credentials in db_credentials.json file, so when you will need to update your database, simply run aba-run db-update mysql --kw-results bike_results\ to automatically update your database by using your saved credentials

SQLite Use case :

aba-run db-init sqlite --sqlite-file alibaba_data

db-init subcommand will try to use sqlite engine by default so if you are planning to use it run as bellow :

SQLite Use case V2 :

aba-run db-init -f alibaba_data

As soons as your database has been initialized, you can update it with the scraped data.

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db-update Demo

https://user-images.githubusercontent.com/49741340/238535232-459847af-a15c-4d9b-91ac-fab9958bc74f.mp4

• db-update sub-command: add scraped data from html files to your database (you can't use this command twice with same database credentals to avoid UNIQUE CONSTRAINT ERROR).

this command takes two required arguments and two optional arguments: * - --db-engine (required): Select your database engine: sqlite or mysql. * - --kw-results (required): The path to the folder containing the HTML files generated by the scraper sub command. * - --filename (required for SQLite): If you're using SQLite, provide the desired filename for your database. whitout any extension. * - --db-name (optional for MySQL): If you're using MySQL,and want to push the data to a different database, provide the desired database name.

MySQL Use case:

  aba-run db-update  mysql --kw-results bike_results\ 

NB:What if you want to change something while you updating the database? Assuming that you have run another scraping command and you want to save this data in another database name whitout update credential file or rewriting all theses parameter just to change your database name then, simply run aba-run db-update mysql --kw-results another_keyword_folder_result\ --db-name "another_database_name".

SQLite Use case:

aba-run db-update  sqlite --kw-results bike_results\ --filename alibaba_data

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export-as-csv Demo

NB: This command is not available on Linux or Ubuntu OS

• export-as-csv sub-command: Exports scraped data from your sqlitedatabase to a CSV file. This csv file will contain a FULL OUTER JOIN with the products and suppliers tables.

this command takes one required argument and one optional argument: * - --sqlite_file (required): The name for your SQLite database file with his extension. * - --to or -t (required): The name for your CSV file with his extension.

Future Enhancements

This project has a lot of potential for growth! Here are some exciting features I'm considering for the future:

• Retrieval Augmented Generation (RAG): Integrate a RAG system that allows users to ask natural language questions about the scraped data, making it even more powerful for insights.

Contributions Welcome!

I believe in the power of open source! If you'd like to contribute to this project, feel free to fork the repository, make your changes, and submit a pull request. I'm always open to new ideas and improvements.

License

This project is licensed under the Gnu General Public License Version 3.