> ## Documentation Index > Fetch the complete documentation index at: https://docs.lobstr.io/llms.txt > Use this file to discover all available pages before exploring further. # Get Results > Retrieve scraped data from Capterra Reviews Scraper Retrieve scraped data from your **Capterra Reviews Scraper** runs. ## Headers Your API authentication token. Value: `Token YOUR_API_KEY`. ## Query Parameters Hash of the squid to get results from. Page number (default: 1). ## Result Fields ### Export Reviews Numeric id of the review on the site it was written on (see `source_site`). Two reviews from different source sites can share this number, so use `global_review_id` to identify a review. Example: `7184664` Unique id of the review across Capterra, GetApp and Software Advice: the source site followed by the review number. Together with `source_domain` it identifies a row. Example: `Capterra___7184664` Headline the reviewer gave to the review. Example: `A practical platform for collecting public web data for research` Date the review was written (day precision, UTC midnight). Capterra does not publish a time of day for reviews. Example: `2026-07-14T00:00:00+00:00` Overall rating given by the reviewer, from 1 to 5. Example: `5.0` Ease of use rating, from 1 to 5. Example: `5.0` Customer service rating, from 1 to 5. Example: `5.0` Features and functionality rating, from 1 to 5. Example: `5.0` Value for money rating, from 1 to 5. Example: `5.0` How likely the reviewer is to recommend the product, from 0 to 10. Example: `10.0` What the reviewer likes about the product (Pros). What the reviewer dislikes about the product (Cons). Overall comments on the reviewer's experience with the product. Why the reviewer switched to this product, when given. Why the reviewer chose this product over the alternatives, when given. Example: `Ease of use and the large library of ready-made Actors` Products the reviewer considered before choosing this one, each with its Capterra id, name, slug and link. Example: `[{"id": "234796", "name": "Selenium IDE", "slug": "Selenium-IDE", "url": "https://www.capterra.com/p/234796/Selenium-IDE/"}]` Names of the products the reviewer considered, comma separated. Example: `Selenium IDE, Octoparse` Products the reviewer used before switching to this one, each with its Capterra id, name, slug and link. Names of the products the reviewer switched from, comma separated. Example: `Selenium IDE` Incentive disclosure code published by Capterra: `NoIncentive`, `VendorReferredIncentivized` or `NominalGift`. Example: `NoIncentive` `true` when the reviewer was offered an incentive (a gift card or a vendor-referred incentive) to write the review. Example: `false` Capterra's own explanation of how the review was collected and whether an incentive was offered. Example: `No Incentive Offered: This review was submitted organically.` Site of the Gartner network the review was written on: `Capterra`, `GetApp` or `SoftwareAdvice`. Example: `Capterra` `true` when the reviewer chose to stay anonymous (shown as "Verified Reviewer"). On regional Capterra sites in a language other than English, French, Spanish, Brazilian Portuguese or Dutch, it is empty for the first 5 reviews of a product when Capterra does not say. Example: `false` Public reply of the vendor to the review, when there is one. Date of the vendor's reply (day precision, UTC midnight). Example: `2024-05-28T00:00:00+00:00` Name of the reviewer as displayed by Capterra (first name and initial, or "Verified Reviewer" when anonymous); regional sites show the first name only. Example: `Faustino G.` Job title of the reviewer. On regional Capterra sites in a language other than English, French, Spanish, Portuguese or Dutch, the line is kept as Capterra shows it (job title followed by the reviewer's country). Example: `Researcher` Industry of the reviewer's company. Example: `Education Management` Size of the reviewer's company. Example: `11-50 employees` How long the reviewer has used the product. Example: `6-12 months` Link to the reviewer's profile picture, when there is one. `true` when the reviewer's identity was verified through LinkedIn. Example: `true` `true` when Capterra validated the reviewer. Example: `true` Validation checks the reviewer passed, comma separated (`LinkedIn`, `BusinessEmail`, `ProofOfLink`). Example: `LinkedIn, ProofOfLink` Capterra id of the reviewed product, the number after `/p/` in its URL. Example: `150854` Internal unique identifier of the product in the Gartner network. Example: `9332c814-d90b-4746-bb51-a6d200b2b406` Name of the reviewed product. Example: `Apify` Slug of the product in its Capterra URL (it can differ from the product name). Example: `Apify` Name of the company that makes the product. Example: `Apify` Average overall rating of the product on Capterra, from 1 to 5. Example: `4.8` Total number of reviews of the product on Capterra. Example: `579` Main Capterra software category of the product. Example: `Web Scraping` Capterra reviews page of the product the review was collected from (the regional site's own product page for a regional URL). Example: `https://www.capterra.com/p/150854/Apify/reviews/` Capterra site the review was collected from: `capterra.com` or a regional site such as `capterra.co.uk` or `capterra.fr`. The same review can be collected from several sites (a regional site can show it in its original language), so a review is identified by `global_review_id` together with `source_domain`. Example: `capterra.com` ## Code Examples ```bash cURL theme={null} curl -G https://api.lobstr.io/v1/results \ -H "Authorization: Token YOUR_API_KEY" \ -d "squid=YOUR_SQUID_HASH" \ -d "page=1" ``` ```python Python theme={null} import requests response = requests.get( "https://api.lobstr.io/v1/results", headers={"Authorization": "Token YOUR_API_KEY"}, params={"squid": "YOUR_SQUID_HASH", "page": 1}, ) print(response.json()) ``` ## Response ```json 200 theme={null} {"total_results": 1, "data": [{"review_id": "7184664", "global_review_id": "Capterra___7184664", "title": "A practical platform for collecting public web data for research", "written_on": "2026-07-14T00:00:00+00:00", "overall_rating": 5.0, "ease_of_use_rating": 5.0, "customer_support_rating": 5.0, "functionality_rating": 5.0, "value_for_money_rating": 5.0, "likelihood_to_recommend": 10.0, "pros_text": "I mainly use Apify for academic research on socio-environmental issues and digital public debates...", "cons_text": "Some Actors have excellent documentation, while others require more experimentation...", "general_comments": "My overall experience has been very positive. I use Apify as part of my research workflow...", "incentivized": "NoIncentive", "is_incentivized": false, "source_site": "Capterra", "is_anonymous": false, "reviewer_name": "Faustino G.", "reviewer_job_title": "Researcher", "reviewer_industry": "Education Management", "reviewer_company_size": "11-50 employees", "reviewer_time_used_product": "6-12 months", "reviewer_linkedin_verified": true, "reviewer_is_validated": true, "reviewer_validations": "LinkedIn, ProofOfLink", "product_id": "150854", "product_name": "Apify", "product_slug": "Apify", "vendor_name": "Apify", "product_overall_rating": 4.8, "product_total_reviews": 579, "product_category": "Web Scraping", "source_url": "https://www.capterra.com/p/150854/Apify/reviews/", "source_domain": "capterra.com"}]} ``` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.