Walgreens Scraper
1 day trial then $15.00/month - No credit card required now
Walgreens Scraper
1 day trial then $15.00/month - No credit card required now
The Walgreens Scraper is a powerful tool built to scrape detailed product data from Walgreens. It can retrieve important product data such as product name, SKU, brand, rating, reviews, price, and more.
What does Walgreens Scraper do?
The Walgreens Scraper is a powerful tool built to scrape detailed product data from the Walgreens. It can retrieve important product data such as product name, skuId, brand, rating, reviews, list price, and more.
Why scrape Walgreens?
Walgreens is a well-known pharmacy and health and wellness retail chain in the United States. Here are four potential benefits of scraping data from Walgreens:
➡️ Market Research: By scraping data from Walgreens, you can gain valuable insights into market trends, popular products, pricing strategies, and promotional offers. This information can guide business decisions and marketing strategies.
➡️ Competitor Analysis: The data from Walgreens can provide an understanding of what products are being offered by a major competitor. This can help businesses in the same industry strategize and compete effectively.
➡️ Price Monitoring: Walgreens's data can be used for price monitoring. This would allow a company to track changes in prices over time, providing insights into sales, discounts, and price fluctuations.
➡️ Identifying Marketing Trends: Walgreens's promotional texts and sales events can provide insights into current marketing trends in the beauty industry. This data can be used to optimize marketing campaigns.
How much will it cost to scrape Walgreens?
Apify gives you $5 free usage credits every month on the Apify Free plan. You can get up to 10,000 results per month from Walgreens Scraper for that, so those 10,000 results will be completely free
But if you need to get more data regularly from Walgreens, you should grab an Apify subscription. We recommend our $49/month Starter plan - you can get up to 100,000 every month with the $49 monthly plan!
Or get 1,000,000 results for $499 with the Scale plan - wow!
How to scrape Walgreens?
It's easy to scrape Walgreens with Walgreens Scraper. Just follow these few steps and you'll get your data in a few minutes.
- Click on Try for free.
- Add URLs in input.
- Click on Run.
- When Walgreens Scraper has finished, preview or download your data from the Dataset tab.
Example of valid URLs:
https://www.walgreens.com/store/c/beer/ID=20000329-tier3
https://www.walgreens.com/store/c/productlist/N=20000329-366417-366418-3000007254
Results
The output from Walgreens Scraper is stored in the dataset. After the run is finished, you can download the dataset in various data formats (JSON, CSV, XML, RSS, HTML Table).
1{ 2 "articleId": "000000000010159565", 3 "hairToolType": "", 4 "size": [], 5 "fulfillerType": "DC", 6 "webExclusive": "3", 7 "wic": "191852", 8 "prodId": "prod6089370", 9 "skuId": "sku6080848", 10 "imageUrl": "https://pics.walgreens.com/prodimg/508499/155.jpg", 11 "upc": "3410057306", 12 "productURL": "https://www.walgreens.com/store/c/miller-lite-american-lager-beer/ID=prod6089370-product", 13 "reviewCount": "62", 14 "productSize": "12 fl oz ", 15 "newItem": "No", 16 "autoReorder": "0", 17 "unitPrice": "9999999.0", 18 "unitPriceSize": "fl oz", 19 "loyaltyEligible": "0", 20 "reviewURL": "/images/adaptive/bvrating/rating-4_5.gif", 21 "pln": "40000191852", 22 "imageUrl450": "//pics.walgreens.com/prodimg/508499/450.jpg", 23 "productName": "American Lager Beer", 24 "imageUrl50": "//pics.walgreens.com/prodimg/508499/50.jpg", 25 "productType": "Domestic Beer", 26 "isAgeRestricted": true, 27 "excludeLocalDelivery": false, 28 "sameDayPurchaseLimit": 12, 29 "storeUPC": "034100573065", 30 "temperatureCode": [ 31 { 32 "key": "N", 33 "value": "None" 34 } 35 ], 36 "gtin": "34100573065", 37 "shipToStoreInd": "0", 38 "oddEnabled": true, 39 "feeEligible": true, 40 "feeApplicable": "Applicable regulatory fees", 41 "tier1CategoryId": "359451", 42 "sdpEnabled": true, 43 "shippingEnabled": false, 44 "opStudyNumber": "103", 45 "beautyCategoryName": "Miller", 46 "channelAvailabilityPrdCard": { 47 "findAtStore": true, 48 "notSoldOnline": true 49 }, 50 "retailUnitQty": "24 pack", 51 "clearance": "No", 52 "quicklookURL": "/store/browse/overlays/quick_view_details.jsp?id=prod6089370", 53 "productDisplayName": "Miller Lite American Lager Beer", 54 "productDisplayType": "1", 55 "reviewHoverMessage": "4.5 out of 5", 56 "priceInfo": { 57 "regularPrice": "$16.99", 58 "regularPriceHtml": "<span class=\"product_price\"><sup>$</sup><span>16</span><sup>99</sup></span>", 59 "unitPrice": "", 60 "unitPriceSize": "", 61 "onSale": false 62 }, 63 "offerList": [ 64 { 65 "type": "VitaminAngels", 66 "desc": "Walgreens will donate a portion of participating product sales to Vitamin Angels and help 100 million children and mothers receive life-changing vitamins by 2017", 67 "image": "/images/utility/va_vpdlogo.png", 68 "linkText": null, 69 "giftDetails": null, 70 "pluCode": null, 71 "eventCode": null, 72 "redirectPageTitle": null, 73 "redirectPageUrl": null, 74 "icon": null, 75 "title": "Vitamin Angels will receive a donation with every purchase." 76 } 77 ], 78 "isNewLowerPrice": false, 79 "averageRating": "4.5", 80 "subBrandName": "Miller Lite", 81 "dsSkuId": "508499", 82 "isStoreAssociated": true, 83 "storeInventoryStatus": "In Stock", 84 "fsa_cd": "0" 85}
Is it legal to scrape Walgreens?
Note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. We also recommend that you read our blog post: is web scraping legal?
Contact
Please feel free to browse through the diverse array of web scrapers available on my Apify profile. If a custom solution or extra options are what you're seeking, don't hesitate to get in touch with me directly at contact@mscraper.com.
Actor Metrics
2 monthly users
-
1 star
>99% runs succeeded
Created in Jun 2023
Modified a year ago