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Capterra Reviews Scraper

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$5.00 / 1,000 results

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Capterra Reviews Scraper

Capterra Reviews Scraper

Scrape detailed customer reviews from Capterra with the Capterra Reviews Scraper Apify Actor. Extract ratings, pros/cons, reviewer info, and more for any company. Input company name and optional proxy config, get structured JSON output

Pricing

$5.00 / 1,000 results

Rating

4.5

(2)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

1

Bookmarked

60

Total users

17

Monthly active users

4.4 days

Issues response

4 days ago

Last modified

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Here's the information about the Capterra Reviews Scraper formatted in Markdown:


📄 Capterra Reviews Scraper

The Capterra Reviews Scraper is an apify actor designed to extract customer reviews from [Capterra] for a specified company. It retrieves detailed review information, including ratings, pros and cons, reviewer details, and more, making it a powerful tool for gathering insights from Capterra


🚀 Overview

  • Platform Apify
  • Function Scrapes customer reviews from Capterra product page.
  • Use Cases: Market researh Competitor analyss Customer feedback aggregatin

🛠️ Usage

To use this actor:

  1. *Create an Apify Account: Sign up at Apify.
  2. *Access the Actor: Navigate to the Capterra Reviews Scraper.
  3. *Provide Input: Supply the required input in JSON format via the Apify platfom.

🧾 Inpt

The actor expects a JSON object with the following fieds:

Required Fields

  • **company_name: strng*
  • The name of the company as it appears on Captera.
  • Example: "Salesforce Sales Clod"

Optional Fields

  • **proxyConfiguration: objct*
  • Configures proxy settings to enhance scraping reliabilty.
  • Example:
    {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
    }

📥 Example Inut

{
"company_name": "Salesforce Sales Cloud",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}```

---
## 📤 Ouput
The actor returns a JSON object for each review, containing detailed fields grouped as folows:
### Review Metadata
- **`reviewI`**: Unique identifier for the review (e.g., `"Capterra___642297"`).
- **`titl`**: Title of the rview.
- **`writtenO`**: Date the review was wrtten.
- **`sourceSit`**: Source website, always `"Captera"`.
- **`globalReviewI`**: Global unique identifier for the rview.
### Review Content
- **`generalComment`**: Main reviewtext.
- **`prosTex`**: Pros mentioned in the rview.
- **`consTex`**: Cons mentioned in the rview.
- **`adviceToOther`**: Advice for others (may be epty).
- **`chosenReason`**: Reasons for choosing the product (may be epty).
- **`switchingReason`**: Reasons for switching proucts.
### Ratings
- **`overallRatin`**: Overall rating (e.g., `"50"`).
- **`customerSupportRatin`**: Customer support rting.
- **`easeOfUseRatin`**: Ease of use rting.
- **`functionalityRatin`**: Functionality rting.
- **`valueForMoneyRatin`**: Value for money rting.
- **`recommendationRatin`**: Likelihood to recomend.
### Reviewer Information
- **`reviewe`**: *oject*
- **`companySiz`**: Reviewer’s companysize.
- **`industr`**: Indstry.
- **`timeUsedProduc`**: Duration of produc use.
- **`fullNam`**: Reviewer’sname.
- **`jobTitl`**: Reviewer’s job itle.
- **`verifiedLinkedI`**: LinkedIn verification satus.
- **`profilePicUr`**: Profile pictur URL.
- **`anonymityO`**: Anonymity satus.
- **`isValidate`**: Validation satus.
- **`validationsPasse`**: List of validaions.
### Additional Information
- **`incentivize`**: Incentive satus.
- **`reviewSourc`**: Submission deails.
- **`alternativeProduct`**: Alternative products mentoned.
- **`switchedProduct`**: Products switchedfrom.
- **`vendorRespons`**: Vendor resonse.
---
## 📦 Example Otput
```json
{
"reviewId": "Capterra___6422957",
"title": "Complex, Integrated tool",
"writtenOn": "August 3, 2024",
"generalComments": "Overall, it is a great customer relationship management (CRM) platform that helps businesses manage their sales process, customer data, and interactions.",
"incentivized": "NoIncentive",
"customerSupportRating": "3.0",
"easeOfUseRating": "3.0",
"functionalityRating": "4.0",
"valueForMoneyRating": "3.0",
"overallRating": "5.0",
"recommendationRating": "9.0000000000",
"consText": "Implementation is