Swiggy Scraper AjaiRosen
A simple Selenium-based Python package to scrape dish search results from Swiggy.
Features
- Search multiple dishes
- Set delivery pincode
- Returns clean pandas DataFrame
- Headless browser support
- PyPI installable
Installation
pip install swiggy-scraper-ajairosen
Requirements
- Google Chrome installed
- Compatible ChromeDriver installed
Example Usage
from swiggy_scraper_ajairosen.tools import scrape_swiggy_dishes
df = scrape_swiggy_dishes(
search_terms=[
"pizza",
"biryani",
"shawarma"
],
pincode="500075",
headless=False
)
print(df.head())
Parameters
| Parameter | Type | Description |
|---|---|---|
| search_terms | str or list | Dish names to search |
| pincode | str | Swiggy delivery pincode |
| headless | bool | Run browser headlessly |
| wait_time | int | Sleep duration between actions |
Returns
Pandas DataFrame containing:
- Dish Name
- Restaurant
- Rating
- Delivery Time
- Category
- Description
- Price
Disclaimer
This package is for educational purposes only. Swiggy website structure may change anytime.
1 maintainer
Metadata
1 maintainer
Release files for swiggy_scraper_ajairosen 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| swiggy_scraper_ajairosen-0.1.2.tar.gz | 3.6 kB | Without provenance | Details for swiggy_scraper_ajairosen-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| swiggy_scraper_ajairosen-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for swiggy_scraper_ajairosen-0.1.2-py3-none-any.whl |
Total release size: 8.1 kB
Release files / swiggy_scraper_ajairosen-0.1.2.tar.gz
| Download URL | swiggy_scraper_ajairosen-0.1.2.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c67825227669a4be12bf67f8caeeca262d223d1749827afe3c86865db205c3f4
|
|
BLAKE2b-256 checksum How to use checksums |
69f1a79e618baac8bfe0d734af96157316e958e9c8383649ab530fdd48b55df5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.23
|
Release files / swiggy_scraper_ajairosen-0.1.2-py3-none-any.whl
| Download URL | swiggy_scraper_ajairosen-0.1.2-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
be8359f1a4be607e2489ab1775d8d67374cf892b0298396ba11fde786499a65c
|
|
BLAKE2b-256 checksum How to use checksums |
b73e48d6a64af945a8ca00c23c9d269acc7410e070a19843a88a255b1ab49c89
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.23
|
Security for swiggy_scraper_ajairosen 0.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
