-
Notifications
You must be signed in to change notification settings - Fork 99
/
Copy pathrun.py
42 lines (32 loc) · 1.29 KB
/
run.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
"""
This example run script shows how to run the Walmart.com scraper defined in ./walmart.py
It scrapes product data and saves it to ./results/
To run this script set the env variable $SCRAPFLY_KEY with your scrapfly API key:
$ export $SCRAPFLY_KEY="your key from https://scrapfly.io/dashboard"
"""
import asyncio
import json
from pathlib import Path
import walmart
output = Path(__file__).parent / "results"
output.mkdir(exist_ok=True)
async def run():
# enable scrapfly cache for basic use
walmart.BASE_CONFIG["cache"] = False
print("running Walmart scrape and saving results to ./results directory")
products_data = await walmart.scrape_products(
urls=[
"https://www.walmart.com/ip/1736740710",
"https://www.walmart.com/ip/715596133",
"https://www.walmart.com/ip/496918359",
]
)
with open(output.joinpath("products.json"), "w", encoding="utf-8") as file:
json.dump(products_data, file, indent=2, ensure_ascii=False)
search_data = await walmart.scrape_search(
query="laptop", sort="best_seller", max_pages=3
)
with open(output.joinpath("search.json"), "w", encoding="utf-8") as file:
json.dump(search_data, file, indent=2, ensure_ascii=False)
if __name__ == "__main__":
asyncio.run(run())