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Clutch.co Scraper

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Clutch.co Scraper

Clutch.co Scraper

epctex/clutchco-scraper
Try for free

7 days trial then $40.00/month - No credit card required now

Unleash the power of data extraction with our Clutch.co Scraper. Gather comprehensive company information, numeric company focus, real client reviews, portfolios, and more from the extensive Clutch.co commercial database. Explore top company listings and perform targeted searches effortlessly.

You can access the Clutch.co Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "search": "api",
10    "mode": "profiles",
11    "maxItems": 50,
12    "endPage": 100,
13    "extendOutputFunction": "($) => { return {} }",
14    "customMapFunction": "(object) => { return object }",
15    "proxy": { "useApifyProxy": True },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("epctex/clutchco-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Clutch.co Data Extractor API in Python

The Apify API client for Python is the official library that allows you to use Clutch.co Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 52 monthly users
  • 13 stars
  • 97.1% runs succeeded
  • 2.4 hours response time
  • Created in Jun 2021
  • Modified about 19 hours ago