![Flipkart Reviews Scraper avatar](https://images.apifyusercontent.com/HQDjh0jiMYPpvCkbULKBMQLziK-fcwkzeByyQ0-gb8c/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9DT2NteFliQjQ2bmV4c3BQRC9lcHM4TnZvYnFmejc5cXg5aC1zdGFyLXN2Z3JlcG8tY29tX18xXy1yZW1vdmViZy1wcmV2aWV3LnBuZw.webp)
Flipkart Reviews Scraper
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View all Actors![Flipkart Reviews Scraper](https://images.apifyusercontent.com/HQDjh0jiMYPpvCkbULKBMQLziK-fcwkzeByyQ0-gb8c/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9DT2NteFliQjQ2bmV4c3BQRC9lcHM4TnZvYnFmejc5cXg5aC1zdGFyLXN2Z3JlcG8tY29tX18xXy1yZW1vdmViZy1wcmV2aWV3LnBuZw.webp)
![Flipkart Reviews Scraper](https://images.apifyusercontent.com/HQDjh0jiMYPpvCkbULKBMQLziK-fcwkzeByyQ0-gb8c/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9DT2NteFliQjQ2bmV4c3BQRC9lcHM4TnZvYnFmejc5cXg5aC1zdGFyLXN2Z3JlcG8tY29tX18xXy1yZW1vdmViZy1wcmV2aWV3LnBuZw.webp)
Flipkart Reviews Scraper
natanielsantos/flipkart-reviews-scraper
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Efficiently scrapes product reviews from flipkart.com. Get detailed information of each reviews. Download your data as HTML table, JSON, CSV, Excel, XML, and RSS feed.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = { "start_urls": [{ "url": "https://www.flipkart.com/adidas-ampligy-m-running-shoes-men/p/itmab79cd4ce225d" }] }
8
9# Run the Actor and wait for it to finish
10run = client.actor("natanielsantos/flipkart-reviews-scraper").call(run_input=run_input)
11
12# Fetch and print Actor results from the run's dataset (if there are any)
13print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
14for item in client.dataset(run["defaultDatasetId"]).iterate_items():
15 print(item)
16
17# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 5 monthly users
- 1 star
- 100.0% runs succeeded
- 2.8 days response time
- Created in May 2023
- Modified about 1 month ago
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